This page tracks remote data engineer openings that are location-eligible for Georgia.
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• Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone • Design and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads • Lead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled • Implement open table formats to enable cross-cloud and cross-engine data interoperability • Establish automated data quality, metadata, and lineage practices across the data estate • Partner with data scientists, analysts, and product teams to translate business needs into reliable data products • Mentor engineers, review designs, and raise the bar on engineering standards
Industry leading Family Office & Registered Investment Advisor data intelligence platform
Role Description We're seeking a Data Delivery & Integration Engineer to own and manage the end-to-end lifecycle of FINTRX's external data delivery, including Snowflake data shares, SFTP feeds, and S3-based distribution. In this role you will serve as the primary technical point of contact for all data delivery integrations, combining hands-on platform management with client-facing expertise. Working closely with our engineering, product, and client success teams, you will ensure a seamless, reliable data delivery experience for our growing global client base. - Own and manage all aspects of the Snowflake data share environment, including configuration, replication, access controls, and performance optimization. - Manage data feeds pipelines (SFTP, S3 bucket, and other delivery mechanisms) end to end, ensuring timely and accurate delivery. - Create and maintain custom tables, views, and transformations within Snowflake to meet client-specific requirements. - Develop a deep understanding of data lineage—how delivered data ties back to source documents and upstream systems. - Lead live Snowflake walkthroughs and data feed demonstrations for prospective clients. - Participate in consultative and troubleshooting calls, diagnosing and resolving data delivery issues on behalf of clients. - Manage the ongoing client relationship as it pertains to Snowflake integrations and data feeds. - Proactively identify, investigate, and prevent data issues within shares and feeds before they impact clients. - Assist in building monitoring, alerting, and observability frameworks for data delivery pipelines. - Maintain thorough documentation of data sharing mechanisms, file formats, and integration configurations. Qualifications - 3+ years of experience working with Snowflake (data sharing, replication, and administration strongly preferred). - Proficiency with data delivery mechanisms such as SFTP, S3, and cloud-based data sharing. - Strong SQL skills and experience building/modifying views, tables, and stored procedures. - Familiarity with data pipeline orchestration and monitoring tools. - Excellent communication and presentation skills; comfortable leading demos and client-facing calls. - Experience with data lineage concepts and metadata management. - Familiarity with GCP is a plus. - Bachelor's Degree in computer science, mathematics, data science, or a related field. - Ability to work east coast hours. - Honesty, integrity, and accountability are paramount. - Organization and ability to manage multiple projects and meet proposed deadlines. Benefits - Competitive annual salary. - Unlimited Paid Time Off. - Health, dental & vision insurance. - 401k retirement plan with company match. - Remote*. In addition to our competitive compensation package, we offer a highly motivated, growing and supportive environment with the opportunity to work alongside many other highly talented professionals. We strive to continually build on our evolving culture - which is built on; innovation, drive, and top tier product creation on behalf of our global client base. FINTRX does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. *This position does not qualify for visa sponsorship, including H-1B, OPT, or CPT. Candidates who will require visa sponsorship now or in the future should not apply. *Candidate must be able to work EST business hours to be considered.
Role Description You design, build, maintain and evolve data platforms, from research and testing through to production. You own problems and projects all the way from stakeholder inputs to ongoing usage in production. You are highly focused on data ingestion, transformation, and creating models that provide value to analysts. You care about data quality and performance because you’ve had to keep things running in production, not just design them on paper. You take time to think about the business logic behind the data. This is a fully remote role based in Chile. You’ll work closely with a small Data & Analytics team spread across the UK and Chile and will be comfortable conducting all spoken and written work in English. What you’ll do: - Lead the migration to Microsoft Fabric. - Rebuild existing pipelines, workflows, and workspaces from our Azure environment using documented Fabric best practices. - Expand and scale the platform to create value for users. - Design and build ingestion for new sources, create and validate transformation code, and surface data in intuitive semantic layers. - Maintain and improve data trust. - Add to and improve the processes for QA and monitoring that prevent erosion of user trust in our data. - Work in a medallion architecture. - Continually refine the bronze, silver, and gold layers to improve data accuracy, availability and usability. - Put engineering quality first. - Conform to standards for code structure and clarity, version control, documentation, work logging and demonstrable testing. - Connect data to consumption. - Consider the end user when making transformed data available. - Consider storage and lifecycle. - Decide how data is stored and retained, balancing scale, performance, and cost. Qualifications - Experience of Microsoft Fabric in production. - Deep experience of the Azure data stack. - Experience as an owner of a data platform migration. - Strong experience with PySpark and solid Python engineering skills. - Advanced SQL. - Disciplined approach to team procedures within Azure DevOps. - Power BI literacy. - Excellent written and spoken English. - You work independently. - Experience using modern development tools, including AI-assisted tooling. Nice to Have - Experience developing code to process data from 3rd party APIs at scale, including structured persistence of the ingested data. - Streaming ingestion and processing. - Experience helping other engineers to level-up. - A degree in Computer Science, Engineering, Information Systems, or a related field. Benefits - We’re a global leader in live events technology. - We’re passionate about live entertainment. - We have amazing clients. - Our employees love us. - We're a remote-first company. - Diversity and inclusion are paramount to building our culture. - Flexible work schedule. - At AudienceView, diversity and inclusion are core values. Important Hiring Notice AudienceView only extends job offers after direct conversations with both the hiring manager and HR via Microsoft Teams. We do not make offers via text or without a formal interview. If you receive a suspicious message, please disregard it. This position is for an existing vacancy on our team, and we’re excited to find the right person to join us. We value clear communication, so if you interview with us, you’ll hear back about our decision within 45 days of your final interview. For compliance and transparency, we securely keep job postings and application details for up to three years after the posting closes.
• Map, extract, cleanse, and transform data (patients, inventory, claims, orders, payers, etc.) • Lead and manage full-cycle data migrations from legacy DME or HME systems into NikoHealth’s platform • Collaborate with implementation consultants and product teams to ensure data accuracy and integrity • Troubleshoot and resolve data discrepancies during migration
Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.
Role Description Design, develop and implement SQL Server/ T-SQL applications. - Develop complex SQL queries for data mining. - Develop, implement, and quality review processes and ETL processes. - Perform tuning on large volume databases to improve SQL query runtime across development, UAT, and production environments. - Develop complex stored procedures for clients across multiple environments. Telecommuting is permitted. NO VISA SPONSORSHIP AVAILABLE. #LI-DNI Qualifications - Master's degree in Electrical Engineering, Computer Science, or closely related field. - Three years experience in the job offered or as Software Developer. - Three years experience handling health care claims data using ETL, T-SQL, SSIS, SSRS, SQL Server, and SCRUM. Requirements - Full Time employment status. - Working location: McLean, VA (Fairfax County). - Travel required: 0%. Company Description Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.
• Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse. • Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data across Samsara’s analytics, AI, product, and operational use cases. • Improve the reliability, observability, scalability, security, and developer experience of Samsara’s Spark and Databricks-based data processing platform. • Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams across Samsara move, process, discover, and access data safely and efficiently. • Work on foundational data lake and lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation. • Collaborate closely with infrastructure, product engineering, data science, analytics, security, and data engineering teams to understand platform needs and deliver durable, scalable solutions. • Stay connected to modern data platform technologies and help shape Samsara’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products. • Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.
• Support the development of scalable data pipelines, analytics solutions, and reporting tools. • Develop and maintain analytics-ready datasets, transformations, and data models within Databricks and Azure-based data platforms. • Build and support data transformation workflows, notebooks, and analytics processes utilizing Databricks within the Azure cloud environment. • Support development and optimization of Power BI and Tableau dashboards, datasets, and reporting solutions. • Collaborate with senior engineers to support Azure-based analytics architecture, data pipelines, integrations, and reporting environments. • Support pipelines and transformation logic to prepare high quality, analytics ready datasets. • Provide training, support, and best practice guidance to promote the adoption of self-service analytics tools across the organization.
• Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions. • Ensuring data quality and reliability by implementing data validation, cleansing, and quality monitoring processes. • Optimising database performance by tuning queries, implementing indexing strategies, and analyzing performance metrics. • Collaborating with cross-functional teams to gather requirements, understand data needs, and develop solutions. • Staying up-to-date with emerging technologies and industry trends in data engineering. • Establishing and enforcing best practices and standards for data engineering.
Nagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
• Manufacturing operations expertise with a focus on shop floor and production planning • Develop and maintain cloud data pipelines for IoT data • Collaborate with teams to ensure efficient data flow • Analyze and drive improvements in yield, uptime, and efficiency • Work with various industrial protocols and tools to gather and process data
• Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements • Help translate business requirements into technical specifications for data consumption and use • Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements • Accurately map data attributes between different domain models • Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow • Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents
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SQL, Python, ETL, Apache, Cloud, Azure
