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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Database Engineer - **Company:** Mitchell International, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $87,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Automation of Tests, BigTable, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Vault Modeling, Identity and Access Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Online Analytical Processing, Online Transaction Processing, OpenFlow, Oracle (Applications), Performance Tuning, Power BI, SQL Databases, Tableau (Software), Data Ingestion, GitHub Copilot, Snowflake, Containerization, Information Technology, Star Schema, Functional Programming, Software Version Control, Data Pipelines, Docker - **Published:** August 21, 2026 - **Apply:** https://jobs.military.com/career/314408/senior-database-engineer-pennsylvania-pa-wayne ## About the Role * 6+ years of hands-on experience building data infrastructure and pipelines in production cloud environments\n * Expert-level proficiency in SQL, including performance tuning and complex window functions\n * Strong working knowledge of Python for data pipeline development and automation\n * Deep technical experience with modern data stack technologies including Snowflake, dbt, data ingestion tools (e.g. Snowflake Openflow, Fivetran), orchestration tools (e.g. Dagster, Airflow), AI-assisted development (e.g. Snowflake CoCo, GitHub CoPilot)\n * Extensive work with OLTP databases (e.g. PostgreSQL, Oracle, SQL Server), with strong understanding of the differences between OLTP and OLAP systems\n * Demonstrated ability to work with AWS cloud services for data workloads (S3, IAM, networking, Lambda, or similar)\n * Experience defining and enforcing CI/CD practices for data pipelines (e.g. automated testing, version control workflows, deployment patterns)\n * Experience with data modeling (Star Schema, One Big Table, Data Vault, or similar)\n * Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and influence technical direction across teams\n * Self-directed problem-solver who thrives in ambiguity, builds from the ground up, and influences across organizational boundaries without formal authority\n, * Bachelor's degree in Computer Science, Data Engineering, or a related technical field\n * Experience with Medallion Architecture\n * Experience with using containerization technologies such as Docker and Kubernetes to deploy and manage data applications\n * Experience with analytics platforms like Hex and/or BI tools such as Power BI or Tableau\n * Experience being an early/founding member of a data team with demonstrated success scaling the function\n * Prior experience evaluating and selecting tools/vendors for a data platform\n * Understanding of the insurance industry, particularly workers' compensation or P&C insurance\n ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)