> Markdown version of [/jobs/ext/1675293-senior-data-engineer-with-aws](https://www.wearedevelopers.com/jobs/ext/1675293-senior-data-engineer-with-aws). 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). --- # Senior Data Engineer with AWS - **Company:** INNOVIM, LLC - **Location:** Hartford, CT, United States - **Experience:** Expert - **Salary:** $110,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Code Review, Data Warehousing, Graph Database, Operational Databases, Snowflake, Api Design, Serverless Computing, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.careerjet.com/jobad/us877fe94b5b5abc32313cd4e193954b52 ## About the Role Strong hands-on experience with AWS (Lambda, Step Functions), Snowflake, Databricks, and DBT, building and orchestrating production data pipelines including serverless ingestion and medallion architecture. Engineer with strong data background and specific hands-on experience in Databricks, building and orchestrating production data pipelines including serverless ingestion and medallion architecture. Skilled in sourcing data from across LOB systems and conforming it to enterprise standards and governed definitions. Experience with API-based ingestion, native connector integrations, and data warehouse design. Able to partner with the business to elevate operations to the next level by translating requirements into scalable data solutions. Experience with knowledge graphs, ontology modeling, and semantic layer design to establish governed, shared definitions across the enterprise. System design guidance, code reviews, mentoring engineers, and partnering with product owners to translate business requirements into technical requirements. ## 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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [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) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)