> Markdown version of [/jobs/ext/281890-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/281890-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** Grand Circle LLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, JIRA, Microsoft Azure, Cloud Database, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Dimensional Modeling, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Web Services, Extensible Markup Language (XML), Adobe Campaign, Informatica Powercenter, Snowflake, Git, Semi-structured Data, Atlassian Tools, Software Version Control, Data Pipelines, Legacy Systems - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=54baeed1bb9bcd57 ## About the Role Do you have experience in Schema design?, Do you have a Bachelor's degree?, * Bachelor's degree required * 6+ years of experience supporting data warehouse and data engineering environments * Strong understanding of data warehousing concepts, dimensional modeling, and ELT architecture * Hands-on experience building and supporting cloud-based data solutions * Experience working in hybrid environments spanning legacy systems and modern cloud platforms * Experience integrating external vendor data via APIs, web services, and XML-based sources * Proficiency with Git, CI/CD pipelines, and modern development practices * Experience with Azure DevOps, Jira, or similar Agile project management tools, * Strong collaboration and communication skills across technical and non-technical stakeholders * Ability to thrive in fast-paced, evolving environments * Flexible, curious, and solution-oriented mindset * Experience working within Agile teams and development environments We bring together human insight and digital expertise to anticipate the needs of our customers. Our team members are innovative, technologically sophisticated, and motivated to achieve. ## Description * Design, develop, and maintain scalable data pipelines using Snowflake, Azure, dbt, and Apache Airflow * Lead the migration and modernization of legacy ETL workflows (Informatica, Oracle, SQL Server) into cloud-native architectures * Build and optimize ELT/ETL processes for structured and semi-structured data from internal and external sources * Develop and manage Snowflake data models, including performance tuning, clustering strategies, and cost optimization * Implement dbt models following analytics engineering best practices including testing, documentation, and version control * Orchestrate workflows and dependencies using Apache Airflow * Integrate and support marketing data pipelines, including Adobe Campaign and related marketing technologies * Partner with Data Analysts, Data Scientists, Marketing teams, and business stakeholders to deliver reliable, scalable solutions * Ensure data quality, lineage, and observability through monitoring, validation, and alerting frameworks * Mentor junior engineers and contribute to engineering standards, architecture discussions, and best practices * Continuously evaluate opportunities to improve scalability, performance, and reliability across the data ecosystem ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026)