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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DMHS Senior Data Engineer - **Company:** Everforth Apex - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Operational Databases, Cloud Services, Software Engineering, SQL Databases, Workflow Management Systems, Google Cloud, Snowflake, Apache Spark, Information Technology, Terraform, Software Version Control, Data Pipelines, Databricks - **Published:** August 23, 2026 - **Apply:** https://www.dice.com/job-detail/3ad29237-66dc-4535-ace5-1a64f95e9b32 ## About the Role Education: A Bachelor's degree in computer science, software engineering, or a relevant field is required. Experience: 5-7 years of experience building and maintaining production data pipelines is required. Hands-on ETL / data pipeline development and sound analytical data modeling experience are also necessary. Technical Skills: Proficiency in Python and SQL is required. Databricks experience (or a comparable lakehouse stack such as Spark, Delta, dbt, Snowflake) and experience with Unity Catalog are required. Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads is needed. Familiarity with data governance/cataloging tooling (e.g., Unity Catalog) and orchestration tools (Airflow, dbt) is also required. Working familiarity with cloud data platforms (Azure preferred; AWS or Google Cloud Platform are also acceptable) and version control/CI/CD workflows is necessary. U.S. citizenship is required. Preferred Qualifications * Experience in regulated or accredited environments such as FedRAMP, NIST 800-171, CMMC, or CUI handling. * Government or defense contracting experience. Soft Skills * Dependable, self-directed execution with minimal oversight. * Collaboration across technical and non-technical teams. * Clear documentation and knowledge-sharing. * Eagerness to grow ownership and learn the compliance environment. ## Description This role involves building and extending a data and AI platform for federal background investigation work. Working with the platform's lead engineer, you will develop and maintain pipelines, transformations, and data products. This is a hands-on engineering position in an environment where FedRAMP Moderate, NIST 800-171, and CUI handling guide the work., * Build, test, and maintain data ingestion, transformation, and pipeline code to convert raw and synthetic data into governed, analysis-ready data products. * Extend the platform following the architecture, patterns, and standards set by the lead platform engineer. * Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment. * Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues. * Apply data governance, cataloging, and access-control practices within the established framework. * Support the data science and ML team by delivering the governed datasets and tooling they need. * Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering. * Collaborate with the engineering team and maintain clear documentation of pipelines and processes. ## 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) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [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 - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)