Remote Data Engineering & Analytics Jobs

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix , so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment. We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S. Spotlight on Data Platform Teams: Big Data Compute {Spark} The BDCS team is responsible for providing the cloud-native platform for distributed data processing at Netflix . This team is central to batch d

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Netflix ’s Infrastructure Engineering organization provides the backbone that powers Netflix 's global scale and operations across business verticals. Within this organization, Data, AI & Experimentation Platforms accelerate product velocity and business impact by providing cohesive, reliable foundations for data, analytics, machine learning, and experimentation. We reduce friction across the insight-to-production loop so teams can move from questions to decisions and from prototypes to shipped features quickly, with confidence, and with measurable outcomes. We enable teams to build and scale ML-powered products end-to-end with AI platform capabilities for training, model management, evaluation, observability, developer tooling, and production inference. Our experimentation platform makes it easy to design, launch, monitor, and interpret experiments so teams can iterate faster and validate impact with statistical rigor and accountability. Our data and analytics foundations make information usable and trustworthy: streamlined data movement (ingestion, streaming, processing), standardized online data sto

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The personalization data engineering team is responsible for building large, web-scale datasets used for enabling and improving member experience. These datasets are integral inputs to our machine learning algorithms, which drive the exceptional experiences our members enjoy. About the role Given the size, complexity and criticality of our datasets, we are looking for a Software Engineer with a deep analytical mindset and experience with modern distributed systems. As a member of this team, you will drive innovation in big data processing by contributing and adding to the team’s suite of data products and frameworks. You will also have the unique opportunity to partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization. Skills required for this role: Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets. Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently. Hands on experience with schema design and data modeling, with an unmistakable

Company Description AsiaLocalize provides comprehensive translation and localization services to support clients in accessing and succeeding in global markets. With a wide network of professional linguists, expert annotators, and advanced technology solutions, we are a trusted partner for high-quality multilingual data and language services across Asia and beyond. Project Overview We are currently looking for vendors and linguists in Southeast Asia for upcoming high-volume data projects . Scope of Work: 1. Transcription Services We are looking for support in the following languages: Malay, Indonesian, English, Singlish, Tamil, Vietnamese, Tagalog, Burmese, Khmer, Lao, Hmong, Japanese, Thai, Chinese (Simplified), Javanese, Sundanese, and Regional Thai. 2. Data Annotation Services We would also like to know if you support data annotation. Please specify: Supported languages Types of annotation (audio, text, etc.) Capacity (daily/weekly volume) Number of resources available Your rates Requirements: Relevant experience in transcription and/or data annotation Strong language proficiency in supported languages Ability to handle high-volume tasks with accuracy and consistency Ability to follow guidelines and meet deadlines Important Note: This is part of an ongoing, high-volume project pipeline , offering potential long-term collaboration opportunities. To Apply: If you are interested, please fill out the following form and indicate whether you support Transcription, Data Annotation

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Commerce Insights and Data Products Engineering team is responsible for data critical to optimizing our product experiences across various product canvases for both current and future Netflix members. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the world”. In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product. About you: You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies. You have a

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The core function of the Netflix product is to distribute our entertainment offerings (TV series, film, games, live events, podcasts, etc.) to our members. We do this via two main mechanisms: personalization algorithms and curated merchandising. The Personalization & Merchandising Science team is at the forefront of driving innovations in this problem space of content distribution. Leverage techniques across experimentation, observational causal inference, analytics, statistical modeling, and econometrics, the team collaborates in deeply cross-functional settings to identify, incubate and enable experiences that entertain and delight our members by surfacing the right content at the right time. We are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation in content distribution. This role works highly cross-functionally amidst a complex stakeholder landscape across Engineering, Merchandising, Product Management, Consumer Insights, and Design. A strong candidate for this role is able to inform decision making using data and exce

Eaton is a global leader in intelligent power management, dedicated to improving the quality of life and the environment through the efficient and sustainable use of power. Our Electrical Services organization in EMEA operates across 25 countries with over 500 employees, delivering lifecycle services for our electrical products, systems, and software. We support customers across data centers, utilities, industry, buildings, and healthcare. With strong growth ambitions for 2026 and beyond, the business is focused on expanding its capabilities through innovation and strategic development initiatives We have a new exciting opportunity for a Commercial Leader- EMEA Data Center who will drive commercial strategy, sales interface, and service offering across the region. This role is key to driving growth, particularly in hyperscale Data Centres, by strengthening collaboration across sales, tendering, and execution. What you’ll do: Define and drive the EMEA Project Services commercial strategy and service portfolio, aligned with clusters and divisions Support sales and tendering teams on large bids, ensuring clear technical and operational service solutions Act as BID/deal approver for major projects, ensuring strong value proposition and inclusion of service offerings Own pricing strategy and governance, including pricing guidelines, margins, and commercial performance (P&L alignment) Ensure project selection discipline at early sales stages, safeguarding profitability and risk

Requisition Number: 104832 Senior Service Delivery Manager – Data Center Services Location: Remote Travel: Must be able to travel as needed, usually a couple of days a month Salary: Depending on experience, this position yearly salary is up to 180k a year with a 15% quarterly bonus structure and full benefits Insight is seeking a Senor Service Delivery Manager to lead service delivery, client satisfaction, and operational excellence across our Data Center Services portfolio. This individual will oversee delivery teams, manage client relationships, ensure financial performance, and drive continuous improvement initiatives while supporting growth across assigned accounts. This role requires strong leadership skills, experience managing distributed teams, and a solid understanding of data center and infrastructure technologies. Key Responsibilities Data Center Services Focus Areas Compute Infrastructure Hybrid Cloud Solutions Storage Platforms Data Protection & Disaster Recovery IT Automation & Orchestration Service Delivery & Client Success Serve as the primary delivery leader for assigned client accounts, ensuring successful execution of services and customer satisfaction. Drive service quality, operational excellence, and profitability across engagements. Monitor and improve client satisfaction through CSAT and NPS programs. Lead post-incident reviews and implement corrective actions to improve service delivery. Ensure all client documentation, communications, and

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights? Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital , we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions. You will: Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD Support the deployment of data science and ML projects into production Note: You will not be developing machine learning models or algorithms Who you are: We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-st

Job Title: Senior Director of Qualitative Data Collection and Analysis Job Location: Remote, United Kingdom Job Location Type: Remote Job Contract Type: Full time Job Seniority Level: Environmental Conditions: Office Work Schedule: Standard (Mon-Fri) Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Thermo Fisher Scientific’s Patient-Centered Research (PCR) group helps sponsors to integrate the patient voice in all relevant healthcare decisions, from development over regulatory to reimbursement and product launch. For that, PCR uses a unique combination of scientific fields, including health sciences, psychometrics, epidemiology, psychology, health economics and others. Our work has helped identify and clarify unmet clinical needs, assess burden of illness and evaluate patient outcomes, preference and/or adherence, while supporting promotional and labeling claims on a global scale. The Senior Director of Qualitative Data Collection and Analysis (QDA) is primarily responsible for the collection, organization and analysis of qualitative data on PCR projects, including: moderation of interviews and focus groups, management of vendors for dedicated qualitative research services, oversight of qualitative research technologies (incl., AI-enabled solutions), and qualitative data analysis. As part of this remit the Senior Director will be responsible for leading the development, improvement and implementation of quality and compliance assurance processe

Job Title: Senior Director, Qualitative Data Collection and Analysis - Remote, North Job Location: Remote, North Carolina, United States of America Job Location Type: Remote Job Contract Type: Full time Job Seniority Level: Environmental Conditions: Office Work Schedule: First Shift (Days) Work Schedule First Shift (Days) Environmental Conditions Office Job Description Thermo Fisher Scientific’s Patient-Centered Research (PCR) group helps sponsors to integrate the patient voice in all relevant healthcare decisions, from development over regulatory to reimbursement and product launch. For that, PCR uses a unique combination of scientific fields, including health sciences, psychometrics, epidemiology, psychology, health economics and others. Our work has helped identify and clarify unmet clinical needs, assess burden of illness and evaluate patient outcomes, preference and/or adherence, while supporting promotional and labeling claims on a global scale. The Senior Director of Qualitative Data Collection and Analysis (QDA) is primarily responsible for the collection, organization and analysis of qualitative data on PCR projects, including: moderation of interviews and focus groups, management of vendors for dedicated qualitative research services, oversight of qualitative research technologies (incl., AI-enabled solutions), and qualitative data analysis. As part of this remit the Senior Director will be responsible for leading the development, improvement and implementation of q

Job Title: Senior / Clinical Data Manager - UK/Europe - Remote Job Location: Virtual United Kingdom, United Kingdom Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Senior / Clinical Data Manager - UK/Europe - Remote Req ID: JR102520 Posted: 2026-07-27 Employment Type: Full-time Work Location: Remote Location: Virtual United Kingdom, United Kingdom Job Description Who we are We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence. We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs – in the best possible way. Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit. Why Worldwide We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people

Job Title: Senior Health Data Operations Analyst - Compass Job Location: Boston, MA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Health Data Analyst, you will focus on analyzing health data within the Veeva Compass product suite. Veeva Compass delivers record-level prescription and medical claims data to power longitudinal, de-identified patient analytics for commercial use cases—including patient journey, market landscape, and provider engagement. You will be responsible for driving data quality, consistency, and standardization within the Terminology Reference Library (

Job Title: Associate Director- Supply Chain Data Science Job Location: Washington D.C., District of Columbia, United States Job Location Type: Remote Job Contract Type: Full time Job Seniority Level: Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director of Data Science – Global Supply Chain Digital What you will do Let’s do this. Let’s change the world. The Global Supply Chain Digital Team at Amgen is seeking an Associat

Decision Inc. is looking for a talented Senior AWS Data Engineer to join our Data, Information & Analytics practice. In this role, you'll design, build and maintain scalable, secure, high-performance data platforms and integration solutions using native AWS services. Working alongside experienced consultants, you'll help deliver trusted, high-quality data that powers analytics, reporting and AI/ML initiatives. This role offers the opportunity to contribute across the full data engineering lifecycle—from building modern data pipelines and supporting cloud migrations to delivering robust, enterprise-scale data platforms. At Decision Inc. , we're committed to developing our people through mentorship, continuous learning and meaningful project experience, with a proven track record of supporting long-term technical and career growth. Who Are We? Decision Inc. is a global digital partner that enables businesses to reinvent themselves to realise their full potential. We deliver agility, resilience, and intelligence to any enterprise, enabling them to adapt quickly and thrive through innovation and opportunity. Our teams have engaged with more than 400 clients globally over the past 15 years, providing them with the expertise to build, operate, and optimise their digital businesses. We achieve this by leveraging the world's best technology to drive our client's business ambitions forward into tomorrow's reality. These technologies include but are not limited to: Microsoft, SAP,

We are growing the team behind our Autonomous Database Operations service. This is a role for a strong database engineer who wants to work in a fundamentally different way. You will not be manually tuning queries or working through a ticket queue. Instead, your expertise directly shapes the autonomous systems that do that work — across MS SQL Server, Oracle, MySQL, PostgreSQL, and MariaDB environments running on AWS and Azure. You will govern how the system resolves incidents, own the quality of its decisions, act as the expert escalation point for complex episodes that fall outside autonomous resolution, and work directly with customers on strategic database operations matters. Over time, you will deepen your coverage across all supported platforms and cloud environments. This role is offered in Poland on a B2B contract basis, with remote working. Essential Skills & Experience Database expertise. Solid commercial experience across two or more of the following platforms: MS SQL Server, Oracle, MySQL, PostgreSQL, MariaDB — with a clear ambition to develop across all five. Strong experience with performance tuning, query optimisation, indexing strategies, and capacity management in production environments. Sound understanding of database security, backup and recovery architecture, and compliance requirements. Cloud database experience. Hands-on experience with cloud-managed database services — such as Amazon RDS, Aurora, or Azure SQL Database — and an understanding of how o

We are seeking a forensic analytics professional who is naturally curious, investigative, and hypothesis-driven. The successful candidate will be comfortable working directly with datasets containing millions of records, using SQL and Alteryx to explore data and uncover hidden behavioral patterns. They should demonstrate a proven ability to move beyond predefined requirements and independently discover emerging AML typologies, develop defensible detection logic, and enhance the organization's financial crime monitoring capabilities. This contractor position is a remote role in the USA. Responsibilities Design new AML monitoring scenarios or detection models from concept through implementation. Conduct lookback analyses, typology development, threshold calibration, segmentation studies, and alert effectiveness reviews Leverage SQL and Alteryx to perform forensic transaction analysis and identify previously unknown financial crime risks Identify and evaluate transaction networks, customer relationships, and behavioral patterns to uncover previously unidentified financial crime risks Utilize statistical analysis, anomaly detection techniques, behavioral profiling, and risk-based segmentation methodologies Provide supporting data analytics and documentation for SAR narratives, AML investigations, and regulatory responses Requirements Advanced degree in a related field (e.g., Data Science, Statistics, Finance) 5+ years of experience working with large datasets containing millions

We are seeking an experienced Databricks Practice Lead to drive the technical vision, growth, and delivery excellence of our Databricks practice. This role combines deep hands-on expertise in modern data engineering with leadership responsibilities, including defining technical standards, mentoring engineering teams, supporting business development, and delivering scalable cloud-based data solutions for enterprise clients. You will work closely with clients, engineering teams, solution architects, delivery leaders, and business stakeholders to design innovative data platforms, guide technical decision-making, and expand the organization's Databricks capabilities. The ideal candidate is both a strong technical leader and a trusted advisor who can bridge business objectives with modern data engineering solutions. Responsibilities Lead the technical direction and growth of the Databricks Practice, establishing standards, best practices, and reusable solution accelerators. Design and review enterprise-scale data platform architectures using Databricks, Apache Spark, and Microsoft Azure. Provide technical leadership and architectural guidance across multiple client engagements. Partner with clients to understand business challenges and recommend scalable data and analytics solutions. Lead technical discovery sessions, solution workshops, architecture reviews, and design discussions with clients. Mentor and coach Data Engineers, Technical Leads, and Solution Architects, fostering t

Our client is building an operations management platform that handles workforce planning, rostering, dispatching, and performance analytics for a large-scale field operations environment. You will own the Python engine layer, responsible for the algorithms and data processing that power the core operational workflows used daily by operations teams. This is not a typical web backend role. You will be working on constraint-based planning algorithms, large-scale data processing pipelines, and event-driven dispatch engines that operate in real time against live operational data. WHAT YOU'LL OWN: Planning engine: processing large volumes of operational schedule data through constraint evaluation, business rules, and engagement profiles to produce workforce planning demands. Built on Celery, Polars, and OR-Tools running on Azure App Service Rostering engine : generating periodic staff rosters by solving constraint problems against planning demands, employee certifications, and leave data pulled from third-party HR systems. Running as an Azure Function App Dispatch engine: real-time task assignment using proximity scoring against live employee location data, attendance records, and operational schedule data. Running as an always-on Azure Function App or App service. Performance engine: scheduled KPI aggregation and SLA scoring across all modules. Running as a timer-triggered Azure Function App WHY'S THIS ROLE INTERESTING: The planning engine is the core of this platform. The algorit

Addepto is a leading AI consulting () and data engineering () company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide. As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As a Lead Data Scientist / AI Engineer / Tech Lead , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: AI optimization engine for airport operation management. This project involves creating a

Data Entry Specialist (Excel / CRM / High Accuracy) – Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring a Data Entry Specialist to ensure critical business data is accurate, complete, and always up to date across systems. This is not just basic data entry. This role is responsible for data accuracy, consistency, and reliability — directly impacting decisions across finance, sales, operations, and leadership. If you’re detail-obsessed and catch mistakes others miss, this role fits you well. What You’ll Do Data Entry & Accuracy (Core Focus) Enter and update records in: Salesforce HubSpot Airtable Excel / Google Sheets Cross-check entries against: Invoices Contracts Customer and HR records Identify and fix: Duplicate records Missing data Formatting inconsistencies Data Cleaning & Maintenance Standardize datasets using: Filters Pivot tables Formulas Apply consistent: Naming conventions Categories Data structures Perform weekly audits to maintain data quality File & Record Management Organize and maintain files in: Google Drive Dropbox Microsoft SharePoint Ensure all files are: Structured Searchable Version-controlled Audit-ready Reporting & Cross-Team Support Generate daily/weekly reports: Transaction logs Status updates Data audit summaries Support: Finance (AR/AP entries) Sales (lead/contact updates) HR (employee records) Compliance & Data Security Maintain strict confidentiality of sensitive data Ensure c

Job Title: AD, Data Strategy Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10086350 Aug 21, 2026 USA Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. Job description summary Strategy, Platforms & Transformation (SPT) is focused on increasing the velocity with which we translate our priorities into impact across the US business. The Data Strategy team helps establish and deliver a comprehensive rare disease data strategy for the US Commercial organization. This role supports the development and execution of the rare disease data strategy, ensuring data assets, data products, and ways of working are aligned to broader Novartis objectives. The Associate Director, Data Strategy partners with cross-functional stakeholders to translate priority business questions into a prioritized roadmap for data sourcing, enrichment, and decommissioning, and to establish clear governance, ownership, and success measures. The role enables access to fit-for-purpose data, manages dependencies and delivery risks across initiatives, and provides transparent progress reporting against agreed milestones. About the Rol

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. About the team Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix ’ understanding and decision making about what impact ads have on our business. This team’s main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more. We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team’s impact in a quickly evolving. We are hiring for several different roles, ranging from senior to staff level for this team. Who are you? Beyond talented, you are curious, creative, and tenacious. Sharp communicator who can break down and explain complex data problems in clear and concise language. You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact You have a high tolerance for ambiguity and fast-changing context Hands-on experience building

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more. The Opportunity In this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our