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# Data Engineer

- **Company:** GDH Consulting
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $108,160.0 - $118,560.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Data Governance, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Operational Databases, Software Deployment, Software Engineering, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Git, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Terraform, Software Version Control, Data Pipelines, Databricks
- **Published:** October 13, 2026
- **Apply:** https://gdhinc.com/jobs/software-engineer-113782/

## About the Role

* 5+ years of experience designing, building, and maintaining production data pipelines.
 * Hands-on experience with Databricks and Unity Catalog.
 * Strong proficiency with Python and SQL.
 * Experience developing ETL or ELT solutions and scalable data transformation workflows.
 * Strong knowledge of data modeling principles and best practices.
 * Experience with cloud-based data platforms; Azure experience is preferred, with AWS or Google Cloud experience also applicable.
 * Experience with Infrastructure as Code tools, particularly Terraform.
 * Experience with CI/CD pipelines, Git-based version control, and production deployment workflows.
 * Familiarity with data governance, cataloging, lineage, and access-control technologies.
 * Experience with orchestration and transformation tools such as Airflow or dbt.
 * Strong analytical, problem-solving, communication, and documentation skills., * Experience with Apache Spark, Delta Lake, dbt, Snowflake, or comparable lakehouse and data platform technologies.
 * Experience working in secure, regulated, or accredited environments.
 * Familiarity with FedRAMP, NIST 800-171, CMMC, or Controlled Unclassified Information requirements.
 * Experience supporting government, defense, or other highly regulated programs.
 * Ability to work independently and collaborate effectively with technical and non-technical stakeholders.
 * Strong attention to detail and commitment to knowledge sharing and continuous improvement., * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent relevant education and practical experience., * This position requires eligibility for a U.S. Government security clearance. In accordance with federal law, U.S. citizenship is required.

## Description

The Senior Data Engineer designs, builds, and maintains scalable data pipelines, transformations, and data products within a secure, regulated cloud environment. This fully remote role supports the development of a next-generation data and AI platform and collaborates with engineering, analytics, and data science teams to deliver reliable, governed, and analysis-ready data solutions., * Design, build, test, deploy, and maintain data ingestion, transformation, and pipeline solutions.

 * Develop governed, analysis-ready datasets from raw, structured, unstructured, and synthetic data sources.
 * Enhance and scale the data platform in alignment with established architectural standards and engineering best practices.
 * Contribute to Infrastructure as Code using Terraform and support CI/CD pipelines for production deployments.
 * Monitor data quality, pipeline reliability, and platform performance.
 * Troubleshoot and resolve data pipeline, integration, and operational issues.
 * Implement data governance, cataloging, lineage, and access-control practices.
 * Support data science, analytics, and machine learning teams by delivering reliable datasets and supporting tools.
 * Follow applicable security, privacy, data handling, and compliance requirements.
 * Develop and maintain technical documentation for data pipelines, processes, architecture, and platform capabilities.
 * Collaborate with engineering and cross-functional teams to support platform delivery and continuous improvement.