Remote Data Engineering & Analytics Jobs

The Position Data Research Analysts will be responsible for work in the following pillars: Performing desk research on specific topics across a variety of fields by leveraging Google Scholar, Google Search, and third party, specialized websites Assisting and establishing processes in data collection Identifying trends in data, performing statistical analysis and communicating findings to project leaders and other stakeholders Finding, analyzing synthesizing relevant research across various fields, distilling them for both internal and external consumption (in the company and for clients) Creating and editing documents to present the uncovered research findings Very good knowledge of English, with an emphasis on summarizing information with clarity Assisting with client or stakeholder campaigns, interviews, and coordination Mastery of Google Slides, Google Docs, Google Sheets, and a good eye for design Prior experience working with other digital marketing tools such as Hubspot is a requirement Scheduling - sending calendar invites and setting up virtual meetings Communicating via Slack to communicate work progress, ask questions and refine work Previous experience with data analysis preferred UNdergraduate degree A little bit about us The Decision Lab is a socially-conscious applied research firm dedicated to creating social good by helping individuals, organizations and governments make better decisions. With over 1,500,000 online engagements per year, 20,000 newsletter subsc

The Engineering Manager, Web Data Acquisition leads an Europe-based engineering team responsible for building, operating, and improving scalable web-scraping capabilities. Reporting to a Senior Manager or Director, this role combines people leadership, technical delivery, operational ownership, and cross-functional execution. The manager is accountable for the performance and development of individual contributors in Europe and works with global Engineering, Product, Data Operations, and delivery stakeholders to translate priorities into reliable outcomes. Lead and Develop the Europe Team Manage, coach, and develop Europe-based engineers and associates, with clear goals, regular feedback, career development, and performance accountability. Build an inclusive, high-trust team culture that values ownership, learning, engineering quality, and continuous improvement. Plan team capacity, skills development, hiring, onboarding, succession coverage, and workload allocation for the Europe team. Create clarity on priorities, decision rights, delivery expectations, and escalation paths. Own Scraping Engineering Delivery Lead the design, implementation, testing, deployment, and maintenance of web scrapers and supporting services. Ensure reliable acquisition of retailer and marketplace data while managing changing websites, anti-bot defenses, data-quality requirements, and operational constraints. Drive predictable execution across new-source onboarding, change requests, production suppo

About Tiger Analytics Shape the Future of AI. Transform the World's Leading Businesses. Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact. We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India At Tiger Analytics , we don't just help businesses adapt to the future—we help them build it We are seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks. Key Responsibilities: Design and deploy NBA/NBC models that choose the right action, channel, content, and timing for each customer or HCP Build ML, deep learning, and reinforcement learning solutions, including contextual bandits, sequential d

Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Database Architecture, Databricks Platform, Data Management, Data Mapping Software, Enterprise Databases Certifications: None Experience: 3 + years of related experience US Citizenship Required: Yes Job Description: Transform data into mission impact as a Data Engineer supporting the Department of the Navy’s Human Resources Civilian Portfolio. Your work will help implement the DONs Data Strategy by building, sustaining, and optimizing the Total Force Data Hub and associated data infrastructure within Jupiter, the DON enterprise data environment. At GDIT, people are our differentiators. As a Data Engineer , you will help ensure today is safe and tomorrow is smarter by enabling the availability, quality, and integration of trusted data across the Navy’s HC/HR Data Domain. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. HOW A DATA ENGINEER WILL MAKE AN IMPACT Support the Data Architect with engineering activities to implement and execute the DON and MAHRS Data Strategy, including conceptual modeling, hub development, and data solution execution. Provide engineering expertise to develop, implement, and sustain data architecture components and data hub capabilities supporting the Total Force Data H

Description About the Role We are seeking an experienced SQL Developer / Database Engineer to support ATLAS, the VA’s open-architected, multi-cloud enterprise data management and analytics platform. In this role, you will design, maintain, integrate, and optimize SQL database structures, transformation logic, and data pipelines that ingest, condition, curate, and deliver multi-source data as secure, reusable enterprise data products. You will use SQL Server, Azure Data Factory, Synapse Pipelines, Databricks, Starburst, and Azure Data Lake Service to improve data reliability, performance, and interoperability across ATLAS and connected source platforms. You will troubleshoot discrepancies and ETL/ELT failures, translate business requirements into technical solutions, and help provide consistent access to trusted data that supports analytics, evidence-based decisions, and better outcomes for Veterans and their families. Key Responsibilities Design, install, configure, maintain, and optimize SQL database systems and related data structures supporting ATLAS. Develop, maintain, monitor, and troubleshoot ETL/ELT workflows and data pipelines using Azure Data Factory and Synapse Pipelines. Integrate structured and unstructured data from databases, APIs, cloud platforms, and other enterprise sources into Azure Data Lake Service. Create and optimize complex SQL queries, stored procedures, database objects, and transformation logic for data conditioning and curation. Use Databricks and

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio. Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself. The Role As an Associate Data Engineer at BeyondTrust , you will contribute to building and enhancing our data lake which currently consumes billions of events each day. You will leveragestate-of-the-art data engineering tools to help develop cost-effective cloud solutions that enable next-level cybersecurity research. You will maintain and optimize existing infrastructure, build new data assets, and collaborate with experienced engineers to deliver reliable data solutions that drive business value. What You’ll Do Contribute to data modelling efforts that support identity security use cases and analytical requirements. Develop and maintain data pipelines that bring together complex information from disparate systems to support security analysis in the datalake Optimize data workloads at a software level by improving processing efficiency. Work with senior engineers to identify areas for process improvement and help implement solutions. Use monitoring and observability best practices to ensure optimal pipeline performance. Assist with ML Operations to ensure optimal mo

About Mojo Mortgages We're not your average mortgage brokerage. We're a fast-moving, ever-evolving fintech on a mission to disrupt the industry. With a buzzing, high-energy environment, we're constantly pushing boundaries to deliver smarter solutions and better outcomes for our customers. Change is constant here, and so is our drive to work faster, think bigger, and raise the bar. We’re part of RVU , a group of online brands that include: Confused.com, Uswitch, and money.co.uk. Role Overview Mojo Mortgages is building the UK's most intelligent mortgage broker, combining human expertise with AI across the full customer journey. As a Senior Data Engineer, you'll build and maintain reliable data pipelines and models that power our products and business decisions. Reporting into our Head of Data, you'll work within a cross-functional product stream, collaborating with product managers, software engineers, analysts and business stakeholders to deliver practical solutions with meaningful impact. You'll work across ingestion, transformation and making data available to applications, using AI coding tools extensively as part of your day-to-day engineering work. What you'll be doing Build and maintain our data ingestion and transformation pipelines Develop dbt models in BigQuery, from raw data to downstream product and analytical models Gather stakeholder requirements and agree clear business definitions Work with stakeholders to ensure data is available to internal applications and s

About Meridia Meridia is an agtech company built around the first mile: the plots, farmers and aggregation points at the origin of every agriculture supply chain. Our first mile intelligence combines what field teams see on the ground and what satellites see from above, in the context of local law, foreign regulation and international frameworks. It rests on over a decade of field experience, our data lake covering 20%+ of the world’s agricultural land, a network of origin experts across the global South and a stellar team of 70+ agriculture, data and tech experts. Meridia Verify®, our verification solution, checks supply chain field data against regulatory and voluntary sustainability frameworks in minutes and guides teams from risk detection to resolution. One platform covers EUDR, Deforestation- and Conversion-Free (DCF) commitments and Scope 3 land-use emissions at plot level, and benchmarks a supply chain against sector baselines. Meridia Illuminate®, our sourcing intelligence solution, leverages the same first-mile data foundation to support secure sourcing decisions and resilient supply chains for the operators who shape global food and agriculture trade. See for more information on our work. Introduction This document outlines the scope and objectives for hiring a consultant to support Meridia's first-mile intelligence work: the data science that connects commodity supply chains to the production areas they source from. This includes production area assessment, supply

Project-Based | Remote | $3 per Approved Recording Hour About the Project We are looking for individuals to participate in an Egocentric Data Collection Project by recording themselves performing everyday household chores and activities. The collected video data will be used to support the development and training of AI systems designed to understand real-world human activities. This is a project-based engagement, not a part-time or full-time employment opportunity. What You'll Do Record yourself performing everyday household chores and activities, such as cooking, cleaning, washing dishes, organizing, and folding laundry. Follow simple recording instructions and project guidelines. Ensure recordings meet the required quality and content standards. Submit completed recordings for review and approval. Requirements Must own an iPhone 12 or newer. Must be willing to record yourself performing everyday household chores. Must be able to follow project instructions and recording guidelines. No prior experience in data collection or AI projects is required. Equipment A recording headset will be provided on a reimbursement basis. Participants will receive instructions on the required equipment and reimbursement process before starting the project. Compensation & Payment $3 per approved recording hour Payouts are made twice per month Only recording hours that meet the project's requirements and are approved will be eligible for payment. Engagement Type This is a project-based oppo

About the role Health Log Analytics (HLA) ingests, stores, and analyzes the logs that power ServiceNow 's AIOps suite. We want it to be the data backbone teams trust to find problems early and fix them fast. HLA is a data platform for operational logs at high volume, built for ServiceNow ’s large enterprise customers. The work spans the full data path: collection and ingestion, routing and enrichment, durable storage and retention, and fast, cost-aware query. Our ingest builds on OpenTelemetry, and we have our own Rust-based log storage. As data volume, customer needs, and AI-driven use cases grow, we need the platform to get more reliable, more efficient, and more useful. We're looking for a senior technical leader to help set where HLA goes next. You'll work side by side with engineering and product leadership on the roadmap. You'll bring a clear point of view and show it with a prototype, not just a slide. You'll set the technical bar for experienced engineers. You'll do it by being a great teammate, not the loudest person in the room. What you'll do Help shape the HLA roadmap with engineering, product, and leadership. Bring both vision and a reality check. Work directly with customers to make sure HLA keeps delivering value as their needs change. Turn their feedback into clear, actionable input for product and the roadmap. Set architecture direction across ingest, storage, and query, and across teams you don't own. Write down your point of view, then build a prototype tha

Job Description JOB TITLE Senior Data Developer LEVEL/BAND MM22 DEPARTMENT Technology DIRECT REPORT (JOB TITLE) Data Development Manager Overall Purpose of the Position To drive and perform the activities to develop, maintain and support the Banks’ Enterprise Data Warehouse, Business Intelligence and Reporting Solutions, ensuring that the business has timely access to quality data in an efficient and effective manner and that our data stores are maintained inline with industry standards. Operational Responsibilities ·To carry out all assigned tasks efficiently and effectively, in adherence with internal policies and procedures. ·To participate in the design and implementation of process improvements for the team. ·To participate in periodic system reviews to identify possible gaps and process inconsistencies and propose re-alignment strategies including the necessary training programmes. Data Warehouse ·To participate in the architecture design and development of the Data Warehouse, including recoverability, resilience, data quality, data integrity and security in accordance with the Bank’s standards and industry best practices. ·To implement and maintain version control. ·To ensure proper segregation of duties within the team when it comes to implementing changes on test and production environments. ·To ensure, at all times, a current version of the documentation related to Data Warehouse architecture, data model and data dictionary is maintained. ·To monitor the state of da

About Practifi (The Real Story) Practifi is the only intelligent CRM company that meets wealth management firms wherever they are in their AI adoption journey. Our enterprise-grade, compliance-first foundation brings client data, workflows, and relationship intelligence together in one system, so firms can understand what matters, take the right action, and scale without ever needing a new CRM. That same directness runs through how we work. We're a team of fewer than 100 people, remote-first across the US and Australia, and we'd rather tell you how this job actually works than polish it for the pitch. We don't sell a version of the role that doesn't exist. The Opportunity (What This Role Really Means) When a wealth management firm moves onto Practifi , the first thing they judge us on is their data. If a household is missing a member, if a client shows up twice, or if a servicing team points to the wrong advisor, they notice on day one. So do their clients. Right now, quality assurance on those data migrations is handled by whoever is delivering the engagement, on top of everything else on their plate. It works, but it means every client gets a slightly different process and nobody has a clear view of the issues that keep coming back. We're creating this role to change that. As our Data QA Analyst, you'll be the dedicated owner of data migration quality across every client onboarding engagement. You'll work the checklist object by object, build one standard the whole team use

Associate Director / Director, Data Strategy & Measurement Location: Remote — this is a remote, work-from-home role, as are all positions at Acceleration Partners . Some travel is required for client meetings, internal meetings, conferences, and industry events. The Role The Associate Director / Director, Data Strategy & Measurement is responsible for defining and leading Acceleration Partners' data, analytics and measurement capability. This role sits at the intersection of client strategy, data science, measurement, AI-enabled insights and commercial growth. The Director will work directly with enterprise clients to understand their marketing and business data ecosystem, develop measurement strategies, and help clients make better decisions through data. Internally, the role will partner with Client Services, Strategy, Sales and AI Automation teams to build AP's data capability, improve decision-making, develop new services and products, and raise data literacy across the organization. As a senior leader, the Director will also develop AP's market position as a leading authority on affiliate, influencer and partnership measurement. Top Responsibilities: Client Measurement & Data Strategy • Serve as AP's senior advisor on measurement, analytics and reporting. • Understand client data ecosystems including affiliate networks, influencer platforms, Google Analytics, CRM systems, customer databases, MMM outputs and business intelligence too

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Safety is central to Reddit ’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly. We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Sa

At PrizePicks , we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems. What you’ll do: Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart

ABOUT DYSRUPIT DysrupIT is a leading global-based cloud services company. We support clients across the globe in their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is dedicated to making a positive impact in the communities it serves. COMPANY CULTURE We are constantly looking for talented people to join our team. We offer a unique and extraordinary career experience to motivate and inspire talents like you to make a difference in our customers, clients, and the entire organization. At DysrupIT , you’ll join a team of dedicated and brilliant professionals who share the same goal of pursuing integrity and excellence. We are committed to promoting a culture where employees are valued and respected. We invest in our employees and make sure that they will have the right training to secure their growth and advancement towards their career aspirations. JOB SUMMARY We are seeking a Senior Data Engineer to own the ingestion, data model, and reconciliation layers of a financial billing and invoicing data platform built on Google Cloud Platform (GCP). This role is responsible for ensuring that every amount flowing through the platform is accurate, traceable, and fully reconciled. The ideal candidate has 6+ years of data engineering experience, including financial or billing pipelines, with deep BigQuery expertise and strong Python and SQL skills. You will design robust, auditable data pipelines with built-in data quality controls, and work clo

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. ABOUT THE ROLE The Jr. Data Specialist is the accuracy backbone of every standard website build. You take scraped, client-provided, and MLS-fed content into our CMS and turn it into a complete, correct, and compliant site — ensuring the site foundation is technically sound before it reaches the design phase. WHAT YOU’LL BE RESPONSIBLE FOR Content Accuracy & Verification Quality Assurance: Review and validate all data for accuracy and completeness before submission or approval. Data Accuracy: Verify names, titles, contact information, addresses, statistics, awards, and credentials against authoritative source materials before entering data. Content Quality: Review all website content for spelling, grammar, punctuation, and formatting accuracy across agent profiles, neighborhood pages, blogs, developments, testimonials, and other client-facing content. Site Data Population Agent Profile Management: Populate and maintain agent profiles by accurately entering biographies, headshots, social media links and display order, email addresses, phone numbers, license numbers, and image alt text. Property Management: Maintain a

Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital , a fast‑growing scale‑up with the ambition to be recognized as one of the leading technology companies in UK. Our global client base needs product-minded professionals who can bridge business and technology, shape data product strategies, and turn complex data requirements into trusted, governed, and reusable data solutions. If you have experience in commercial or specialty insurance, particularly with premium, underwriting, policy, commission, or reinsurance data, and enjoy driving cross-functional collaboration and delivering measurable business value, this role is for you. At Sedona, we: Obsess about our customers Build robust, scalable technical solutions Create an open, collaborative culture Invest in learning and long‑term careers The Data Product Manager is a key role within the Global Data Function, accountable for shaping and delivering the Premium data product as part of the Finance Transformation programme. Working closely with the wider product management team, business stakeholders, Technology delivery teams and Architecture, the role will define the product vision, scope and roadmap required to create a trusted, governed and reusable view of premium data. The product will bring together data from multiple business areas and source systems at a consistent level of detail, establish common definitions and quality standards, and enable consiste

Lead Data Engineer About us: At Fullbay , our mission is simple — to create safer roads for our families and yours. As leaders in the heavy-duty repair industry, we power shops with technology that helps them run smarter and more efficiently. As an AI-First company, we invite artificial intelligence to eliminate friction, spark innovation, and drive efficiencies in every conversation— for our teams and our customers. Fullbay is the number one cloud-based shop management software for commercial repair shops and is growing fast. This is an exciting opportunity to join a high-performing team and help shape the next phase of growth for the company. Position Overview: The Lead Data Engineer owns Fullbay 's data platform end to end. Fullbay runs a Snowflake data warehouse that serves organizational reporting across two live products and acts as the primary read plane for AI agents. This role owns the architecture of that platform, builds it out hands-on, and holds the authority to set standards and revise the design as the business changes. At its core this is an enablement role. Business users and AI agents increasingly self-serve against Fullbay data, and the Lead Data Engineer is what makes that self-service trustworthy, through certified metric definitions, a well-governed semantic layer, and disciplined platform standards. The role reports directly to the VP of IT with the charter to set data standards company-wide. The Right Wrench for the Job Every heavy-duty shop runs on on

ABOUT US Pureprofile ’s vision is to deliver more value from the world’s information. We are a global data and insights organisation providing industry-leading online research solutions to agencies, marketers, researchers and brands & businesses. The Company, founded in 2000 and based in Surry Hills, Australia, now operates in North America, Europe and APAC and has delivered solutions for over 850 clients. ABOUT THIS ROLE Responsible for a variety of tasks relating to the flawless output of data for all surveys run by the business and teams globally. The Data Processing Executive will enhance and assist with the Quality Assurance processes run by teams and will expertly utilize tools such as SPSS and Q to ensure the datafile is presented to the client free of errors, in an optimized fashion and in their desired format. They will also step in where required to resolve any data queries internal or external stakeholders may have. ROLE ACCOUNTABILITIES & COMPETENCIES Assisting in reviewing scripting logic present in questionnaires to ensure syntaxes can be written ahead of time to validate survey Flagging queries with Survey Programmers or wider project teams where scripting logic may not make sense and providing suggestions on how they should be adjusted to ensure better data quality. Ensuring data is correctly delivered in the client’s desired format without errors and provides an extra layer of checking where Providing clear and accurate ETAs on data processing tasks t

Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We’re hiring a hands-on Data Platform Lead, to join Convene Hospitality Group’s (CHG) Technology organization.You’ll own our data platform end to end, from architecture to how we model the business, and you’ll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You’ll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You’l

About Imagine Worldwide All children have immense potential, but hundreds of millions don’t have access to the learning they need. Imagine Worldwide believes that every child should be empowered with the basic right to literacy and numeracy. We provide an innovative education technology solution and implementation model to the global literacy/numeracy learning crisis using the onebillion application and various toolkits and systems to support implementation. Our model is massively scalable, evidence-based, and can deliver foundational learning to millions of the most marginalized children. Imagine Worldwide partners with governments, organizations, and communities to provide child-directed, tablet-based learning that is accessible, effective, and affordable. We are incorporated in California (United States) as a nonprofit organization, but operate in Sub-Saharan Africa through locally-registered entities in Malawi, Sierra Leone, and Tanzania. Learn more on our website. Role Overview The Data Quality Analyst focuses on data quality across Imagine’s data ecosystem. The role proactively monitors data from devices, programme systems and field sources, builds and improves the checks that catch problems early, and investigates issues raised across the organisation. Where an issue requires deeper analysis, reporting changes or engineering work, the role provides its findings and works with the relevant team member to resolve it. Imagine’s data covers learning activity from tablets i

Position Summary Scicom Infrastructure Services is seeking aDatabricks Data Operations Specialistto support the operational stability, reliability, performance, and security of a large-scale Databricks data platform. This role will work as part of a multidisciplinary Databricks team that includes data engineers, architects, business analysts, governance specialists, and technical managers. The Data Operations Specialist will be responsible for monitoring production data pipelines, responding to incidents, troubleshooting platform and data-processing issues, coordinating deployments, and ensuring that data products meet established availability, quality, and service-level requirements. The ideal candidate will have hands-on experience operating Databricks environments and supporting production data workloads using Apache Spark, Delta Lake, SQL, Python, cloud infrastructure, monitoring tools, and automated deployment practices. Key Responsibilities Databricks Platform Operations Monitor the health, availability, performance, and capacity of Databricks workspaces, jobs, pipelines, clusters, SQL warehouses, and related cloud services. Provide day-to-day operational support for production Databricks environments. Monitor scheduled and event-driven data pipelines for failures, delays, data-quality issues, and performance degradation. Troubleshoot Databricks jobs, Spark workloads, cluster failures, notebook errors, connectivity issues, and data-processing exceptions. Restart, rerun,

Want to be part of a team that creates opportunities and enhances evolution? How do we achieve all this? Through an ecosystem of over 12,000 restless individuals who, together, offer solutions, products, and educate the market. We act as a Single TOTVS, integrating different solutions and expertise to educate the market and simplify the business world. For us, evolution is constant and happens from person to person: we use our restlessness to anticipate trends and transform the real growth of technology. Our way of being: 🤖 HI + AI (Human Intelligence + Artificial Intelligence): We believe that technology empowers, but people direct. Here, AI gives us scale and efficiency, while our Human Intelligence brings strategy, context, and care. It is this combination that allows us to create innovative solutions with a real purpose. 🚀 Ownership and Evolution: We are driven by continuous learning and the courage to take charge of our own careers. Here, we encourage restlessness and offer a fertile environment for those who want to grow, create, and transform. Responsible Results: We value the freedom to act and responsibility to the whole. Here, you have a voice to challenge the status quo and autonomy to pursue results that generate real value for our clients and society. 🧘🏼‍♀️ Integral Well-being: We take care of those who make evolution happen. We strive for the integral well-being of every employee through actions and benefits.