Remote Data Engineering & Analytics Jobs

We are looking for a Technical Project Manager with 8+ years of experience to lead complex, enterprise-wide data platform implementations built on Databricks . In this role, you will bridge the gap between business stakeholders and technical teams, driving the execution of data architectures from ingestion through the Medallion structure to modern consumption layers (including BI and agentic AI solutions). What You Will Do Project Delivery: End-to-end management of modern data platform implementations built on Databricks. Agile Leadership: Run all scrum ceremonies (sprints, stand-ups, retros) for data engineering and data science teams. Risk & Scope Management: Track budgets, optimize compute costs, and manage technical risks (data quality, pipeline bottlenecks). Stakeholder Alignment : Bridge the gap between C-level business requirements and technical execution. Backlog Refinement: Partner with Product Owners and Data Architects to prioritize the technical roadmap. What Do You Need to Apply? Experience: 8+ years as an IT Project Manager or Advisory Consultant , with a track record in complex data/cloud projects. Core Technical Knowledge: Strong understanding of foundational AI and data platform concepts , including the architectural components of leading providers like Databricks, Snowflake, and Microsoft Fabric. Fluent English is non-negotiable. Nice to Have Consulting Background: Experience at a Big4 or top-tier tech consulting firm. Tech Stack Familiarity: Hands-on ex

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Cloud Data Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $145,000–$160,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking a Cloud Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Required Qualifications Eight or more years of experience in data engineering, with significant time in architecture roles. Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery,

🚀 Scope of responsibilities: Design and development of data pipelines and data processing solutions based on Azure Databricks and Python Build and maintenance of solutions on the Azure Data platform (Data Lake, Data Factory, Synapse) Creation, development, and management of Data Products (Unity Catalog) Collaboration with business stakeholders — gathering requirements and translating them into technical solutions Ensuring data quality, security, and compliance Integration of data solutions with other organizational systems Improving the performance, scalability, and cost-efficiency of solutions 🛠️ Requirements: Very good knowledge of: Azure Databricks Python Apache Spark Experience with Azure services: Data Lake (ADLS Gen2), Data Factory / Synapse Knowledge of APIs (REST or similar) Experience in ETL design and data modeling Basic understanding of data architecture Experience with CI/CD and Git Problem-solving skills and experience working in Agile methodologies Good communication skills (collaboration with business and technical teams) ➕ Nice to have: Experience with big data and streaming data processing Knowledge of Unity Catalog and data governance principles Experience with data visualization tools (e.g., Power BI) Knowledge of Databricks Asset Bundles Originally posted on Himalayas

We are looking for a Senior Data / Ingestion Engineer for our client, a consultancy that helps banks and insurers transform their operations through AI, automation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms . You will join their delivery for a Dutch insurance client . We're looking for an engineer with deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies. You will turn high volumes of insurance documents (PDFs, scans, emails, Office files) into structured, high-quality, AI-ready data that feeds downstream RAG and AI models. This is a long-term remote-first contract position for candidates based in Europe. Responsibilities Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint). Build connectors to document sources such as SharePoint and email. Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts. Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging. Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models. Ensure document processing pipelines meet enterprise security and low-latency SLA requirements. Build automated error monitoring and extraction validation loops that flag low-

Location: Tokyo Base, Nationwide Japan Type: Full-time, remote Salary: JPY 12–14 million per annum (negotiable) About Our Client: Our client is a listed AI infrastructure solutions provider headquartered in Singapore. It offers proprietary hardware, software and end-to-end services for AI data centres, covering solution design and planning, infrastructure integration, and operations and maintenance. Its portfolio spans high-performance AI servers, advanced power and liquid cooling solutions, and AI cloud services, serving enterprises, research institutions and cloud and edge computing deployments globally. This role sits within the group's global services arm, which delivers end-to-end technical services for clients using the group's products and AI data centre (AIDC) solutions, with a focus on service quality and client value. Position Highlights Core Business Role: Take full ownership of large-scale AI data center projects with independent project management and decision-making authority. Flexible Work Scope: Work remotely from Japan with nationwide Japan project opportunities, rich business scenarios and career growth space. Global Platform: Work in a diversified international team with standardized global project management systems. Job Responsibilities Serve as the primary project owner, fully responsible for overall project schedule, workflow arrangement and cost control throughout the project lifecycle. Project types range from AI server installation, networking, perfo

Company Overview hermeneutic research is a best-in-class proprietary trading firm. It deploys research-driven discretionary and systematic strategies as well as makes strategic long-term investments. The partners' decade-long history of success in trading and business building and a firm-wide cultural emphasis on alpha generation, open debate, relentless iteration, and teamwork are key to the firm's continued expansion in a challenging market environment that has hamstrung competitors. A hard-wired emphasis on risk management and opportunistic market participation ensures that hermeneutic research will continue its growth trajectory in the coming decades. Job Overview We are looking for a Senior Data Engineer to help us architecting, implementing and operating the complete data infrastructure pipeline for our Research and Trading operations. This role will be crucial in building a scalable, reliable, and cost-efficient system for handling vast amounts of market trading data, real-time news feeds and a variety of internal and external data sources. The ideal candidate will be a hands-on professional who understands the entire data lifecycle and can drive innovation while collaborating across research and engineering teams to meet their needs. Key Responsibilities Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating large-volume datasets (market data, news feeds and various unstructured data sources). Ensure data quality, consistency, and

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Big Data Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, lakehouse architectures, and cloud platforms , with experience building scalable, secure, and high-performance data solutions. Key Responsibilities Design and lead enterprise data platform architecture and data pipelines. Build scalable lakehouse, warehouse, and streaming solutions. Define data modeling, governance, security, and architecture standards. Optimize platform performance, scalability, reliability, and cost. Collaborate with data engineering, analytics, ML, and business teams. Mentor engineers and drive data platform best practices. Required Qualifications 8+ years of experience in data engineering, including architecture

Get to know us better CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe). While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple: Act to deliver. Disrupt to grow. Team up to win. The project and the team You will join the team behind a large-scale, centralized data platform built for a global consulting organization. The platform is the shared source of company data behind several of the firm's internal products, and is used daily by consultants for company research. This is fundamentally a data engineering role combined with software engineering: you'll be designing, coding, testing, and operating production Python systems - pipelines, libraries, and services - that move, transform, and serve data at scale. This is not a role focused on configuring tools or writing one-off queries. You'll be building reliable, maintainable software that powers our data platform. The goal is a unified, enterprise-grade dataset of 300M+ company records, integrated from 10+ external and internal sources. The p

Data Engineer ROLE We need an experienced Data Engineer at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will collect, clean, and transform raw data into meaningful and actionable information, apply foundational data mining, data modeling, natural language processing, and machine learning techniques to large structured and unstructured datasets, and support senior data scientists in maintaining stable, well-governed analytics pipelines. This is a full-time opportunity. We can offer a competitive salary, and a comprehensive benefits package. Apply today! RESPONSIBILITIES Collects, cleans, and transforms raw data into meaningful and actionable information. Helps build and maintain reliable datasets. Helps implement techniques and analytical applications that leverage data-oriented programming languages, visualization tools, and modern computational methods. Applies foundational data mining, data modeling, natural language processing, and machine learning techniques to extract insights from large structured and unstructured datasets. Visualizes, interprets, and reports data findings, occasionally developing dynamic or automated data reports for stakeholders. Analyzes pattern

Job Summary: WHO ARE WE? Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit . WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! You embody our core values of Keep it Simple, Be Inquisitive, Win Together, and Own It. You are passionate and motivated. Driven, happy to deal with and remove ambiguity, and have a strong entrepreneurial spirit. Versatile, autonomous high performer in multiple disciplines, and specifically in augmenting each discipline with an AI practice. You are skilled at building consensus, making data-driven decisions, and delivering world-class development experiences, espe

As a Senior Analyst – Business Data you will be responsible for accessing financial, SKU number and description, Sales and Margin Master data and 13+ unique ERP systems to generate analytics for business initiatives using Power BI reporting. You will have daily communication and collaboration with the business, functions, and master data teams is essential to keep informed about business changes that impact systems and the data. Once data enhancements and recommendations have been verified, you will ensure the data asset can be scaled across the organization and leveraged appropriately. Data reports will be developed and generated from Power BI in both automated and ad-hoc reports. Responsibilities: Serves as lead strategic product data resource Develops data reports to be generated from Power BI in both automated and on demand formats Track and report key metrics for the business function Generate analytics for business unit initiatives using Power BI reporting Initiate a match process to align Brand A to Brand B Substitute Products Feed matched products into internal systems to automatically display a match for internal sales teams Complete ad-hoc data analysis Actively searches for additional standardization and improvement of product data regarding consistency and compliance with content style guide Collaborates and manages new solutions related to product data storage and end user presentations Improves digital content management within available tools and applications C

We are growing! We are currently looking to hire a Data Engineer - Web Scraping to work with us remotely on a 3 months contract. Who we are: Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact. Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction. What you will be doing: Maintain and manage website scraping configurations using Python. Monitor scraping configurations for errors and potential crashes. Oversee retrieved data to detect potential issues and blockages. Coordinate with stakeholders to understand scraping task requirements and report issues. Prepare and share periodic reports on scraping activities with stakeholders. Develop necessary pipelines to ingest data into the Datalake and perform required transformations. Requirements What you will bring along: Proven experience in data engineering with expertise in designing and implementing scalable data architectures. Strong experience with ETL processes, data modeling, and data warehousing (Airflow & DBT preferred). Expertise in da

Job Title: Data / Context Engineer Location: Remote Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada. Project Description A leading enterprise client, a multinational telecommunications technology company, is seeking a Data / Context Engineer to play a pivotal role in shaping how knowledge flows across a massive, multi-region operation. This is a high-visibility opportunity to architect and scale a knowledge base (KB) system that will directly power decision-making across 12 regions and beyond. The role sits at the intersection of AI infrastructure, data engineering, and real-world business impact, with contributions visible across a nationwide operation from day one. Key Responsibilities Sign and implement the multi-regional KB architecture in P1 alongside SA Seed the KB across 12 regions during P2 (cohort 1 wk1, cohort 2 wk2, cohort 3 wk3 of July) Build and operate the ingestion pipeline (machine-readable regional standards embeddings retrievable patterns) with sampled human approval gate Add MOD-specific retrievable context as regional overlays during Sep-Oct Own KB integrity checks, retrieval evaluation, and weekly health reporting Mandatory Skills 4-6 years of hands-on RAG / retrieval / vector store engineering in production Experience building a multi-tenant or multi-region retrieval architecture with overlay / inheritance semantics, not just "one big index" Vertex AI V

Thank you for sharing your interests! Here at Cambium, we are always looking for passionate, talented people to join the team. If you have searched our current openings and haven’t been able to find a position that fits, we’d still love to hear from you! Please take a look at the below and fill out an application here. As soon as we have a similar opening that fits your skill set, we will reach out. We look forward to learning your interests! Job Overview: The Data Analyst (SQL) will be primarily responsible for the following: Integrate data from multiple data sets, analyze and interpret complex data sets and make findings relevant and actionable for both internal and external stakeholders Experience in setting up, deploying, configuring, and monitoring multiple systems Provide timely, accurate and reliable management reporting and analysis of data Create innovative solutions to an extensive range of complex data analysis requests .Assist in the development of additional information system projects, as needed Verify data quality to ensure accurate analysis and reporting Job Responsibilities: The Data Analyst (SQL) will be primarily responsible for the following: Integrate data from multiple data sets, analyze and interpret complex data sets and make findings relevant and actionable for both internal and external stakeholders Sett up, deploy, configure, and monitor multiple systems Provide timely, accurate and reliable management reporting and analysis of data Create innovativ

Paperpile runs on data at scale, with a literature database of 250M+ academic papers and a growing body of user data accumulated over more than a decade. You'll work across the systems that ingest, process, store, and serve this data reliably: building pipelines, optimizing search, handling PDFs at scale, and exposing clean APIs. Requirements Strong backend engineering background with experience building and operating data-heavy systems in production. Experience deploying and operating services on AWS . Experience designing and maintaining data ingestion pipelines handling messy, heterogeneous sources. Comfortable with web scraping and working with third-party data sources and APIs. Familiarity with Node.js and TypeScript . It’s fine if you come from a different background, such as Java or Python, but you should be comfortable working in this environment. High standards for data quality . You think carefully about correctness, deduplication, and consistency. Solid understanding of full-text search systems including indexing strategy, relevance tuning, and query optimization. Proficient in building reliable REST APIs. More useful experience: Familiarity with academic publishing formats and data sources (PubMed, Crossref, arXiv…) Experience with PDF processing pipelines (extraction, transformation, storage and delivery at scale). Experience with LLM-based document processing or ML pipelines for extracting structured data from unstructured text. Large scale web crawling and scra

Root is on a mission to unbreak insurance by creating experiences people love at prices they can’t believe. We believe that investing in world-class technology will facilitate a new class of insurance products, driving a massive positive impact on the hundreds of millions of drivers who carry auto insurance in the US. Root’s Engineering team is committed to building a flexible platform on which our product designers and quantitative scientists can quickly test ideas, deploy them into production, and iterate, with the ultimate objective of a delightful customer experience coupled with effective risk management. The Opportunity We are looking for a Staff Data Engineer to join our Data Platform team to drive financial data operations at Root, including commissions payments, incentive programs, and other critical backend financial systems. In this role, you will lead complex technical initiatives across engineers within your domain, ensuring the accuracy, scalability, and reliability of data pipelines that power financial processes. You will partner closely with Finance, Product, and Engineering stakeholders to define strategy, shape the technical roadmap, and deliver systems that support high-stakes financial workflows. As a Staff Data Engineer, you will operate as a technical leader, making architectural decisions and delivering solutions with lasting impact over quarters and years. At Root we’ve built an end-to-end financial data operations solution with multiple data collecti

Overview Are you a focused, driven B2B sales professional looking to join a knowledgeable team that is poised for growth? Do you have a strong grasp of sales processes within Data Center infrastructure ? If so, GCG is currently growing a specialized team focused on supporting data center customers and partners as they plan, source, and deploy critical infrastructure! To support those efforts, we’re seeking a dedicated Inside Sales Account Manager . In this role, you will harness your exceptional communication skills and sales expertise to proactively build lasting business relationships with key decision makers and suppliers in the Data Center Infrastructure market! This is an exciting opportunity to be a part of a team that is at the forefront of expanding our presence in the Data Center market, ensuring we are a trusted partner and distributor of choice for our customers. *This role offers a remote work arrangement with a strong preference for candidates in the Central Time Zone. What you’ll do Develop in-depth familiarity with GCG Data Center solutions to provide best-in-class customer support and educate customers about products, applications, pricing, and availability Understand the market to support strategic growth plans, ensuring that annual goals are achieved Nurture relationships with GCG customers and suppliers to increase sales revenue as product offerings continue to expand Manage purchasing and coordination specifically for drop-ship orders from suppliers, ensur

Root is on a mission to unbreak insurance by creating experiences people love at prices they can’t believe. We believe that investing in world-class technology will facilitate a new class of insurance products, driving a massive positive impact on the hundreds of millions of drivers who carry auto insurance in the US. Root’s Engineering team is committed to building a flexible platform on which our product designers and quantitative scientists can quickly test ideas, deploy them into production, and iterate, with the ultimate objective of a delightful customer experience coupled with effective risk management. The Opportunity We are looking for a Senior Data Engineer to join our Data Platform team to drive marketing operations, finance, analytics, and data science enablement at Root. In this role, you will be responsible for guiding complex technical implementations with engineers on your team or aligned to your domain, supporting marketing and data science workflows and delivery, and working with a broad set of stakeholders to define the strategy and overall roadmap for the domain. As a Senior Data Engineer, you will help us make decisions and deliver software with lasting effects on the order of quarters and years. At Root we’ve built an end-to-end marketing solution with multiple data collection tools, scoring pipelines, and analytics interfaces. Our data scientists and marketing teams leverage this system to build marketing solutions across a wide array of channels. We’re

Crum & Forster Company Overview Crum & Forster (C&F) provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. A true underwriting company, we have a 200-year history of helping our customers manage risk with laser-focused expertise, integrity and discipline. Our people are empowered to make decisions and problem-solve with you smartly and swiftly. Our annual gross written premium is 6.2 billion. C&F enjoys a financial strength rating of "A+" (Superior) by AM Best. Our most valuable asset is our people. We have 3000 employees, and locations throughout the United States and India. With our employee-first focus, the Company is consistently recognized as a great place to work, earning multiple workplace and wellness awards, including the Great Place to Work® Award, Fortune 100 Best Companies to Work For, Fortune Best Workplaces for Parents, Fortune Best Workplaces for Millennials, and many others. C&F is part of Fairfax Financial Holdings. For more information about C&F, please visit our website: www.cfins.com Job Description We are seeking an Associate Data Engineer to support the S&S Data Science team's External Data function. You will build and maintain the pipelines that bring third-party data sources into our underwriting, claims, and business intelligence workflows, working alongside an established data engineer. What you will do: Build and maintain batch and streaming ET

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science. Responsibilities Design, build, and deploy scalable machine learning models into production systems. Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch). Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training. Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration. Collaborate with engineering teams to integrate models into cloud-based applications on AWS. Optimize query performance, storage usage, and data pipelines for efficiency. Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. Drive initiatives independently with high ownership and accountability. Stay up to date with industry best practices in machine learning, big data, and cloud-native deploy

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform. Requirements Strong proficiency in Databricks. (Must have) Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, Azure Stream analytics. Knowledgeable in tools used to identify and manage structured and unstructured data. Must have BI, EDW, along with Data Strategy, Architecture and Governance Defined and implemented information lifecycle management practices. Strong background and working knowledge in end-to-end data management principles. Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes. Strong communicator at the technical levels Demonstrated teamwork skills. Good to have- Experience in architecting and building Azure

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab . An Overview of this Role As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab 's data

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. Freelance Cooperation – What Does It Mean? Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement. Part-time engagement. Work up to 50% of full-time workload, depending on current project needs. Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement. No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead. Tasks: Collaborate with stakeholders to understand business requirements and translate them int Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting. Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support

On a day-to-day basis, this individual will be responsible for administrating and implementing database solutions while providing system operational support, administration, problem resolution, and perform software installations and upgrades on our database systems concentrating on Google Cloud Platform and other cloud-based solutions (up to 30%). The Database Administrator will be expected to exhibit strong troubleshooting techniques while striving to maintain a high level of customer satisfaction. Other duties also include monitoring performance and capacity on our database systems. ESSENTIAL DUTIES AND RESPONSIBILITIES Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: Responsibility for all enterprise database technology deployed in the cloud including various versions of Microsoft SQL Server and other database platforms including features such as the core database engine, reporting, data loading and transformations, business intelligence, replication technologies and other modules. Perform configuration and maintenance of database platforms, including patching. Monitor database instances for performance, utilization, and capacity. Work with application teams when appropriate to address issues. Manage maintenance plans, backups, and automated jobs. Responsible for the database platform security model, including using Active Directory-integrated accounts in a multi-forest environment where