Senior Data Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, test, and sustain data ingestion, transformation, and pipeline code.

• Convert raw and synthetic data into governed, analysis-ready data products.

• Enhance the platform in alignment with the architecture, patterns, and standards established by the lead platform engineer.

• Contribute to Terraform infrastructure-as-code and CI/CD pipelines for the certified production environment.

• Oversee data quality, pipeline reliability, and overall performance.

• Diagnose and resolve issues related to data pipelines.

• Implement data governance, cataloging, and access-control practices.

• Provide governed datasets and tools to aid the data science and ML team.

• Operate within FedRAMP Moderate, NIST 800-171, and CUI limitations.

• Collaborate effectively with the engineering team.

• Keep comprehensive documentation of pipelines and processes.

⛳️ Requirements

• U.S. Citizenship is mandatory.

• Must be able to acquire and maintain a T5/SSBI federally adjudicated clearance; an active clearance is preferred.

• A minimum of 4 years of experience in building and maintaining production data pipelines.

• Strong expertise in Python and SQL.

• Practical experience in ETL/data pipeline development and robust analytical data modeling.

• Working knowledge of cloud data platforms (Azure preferred; AWS or GCP acceptable).

• Familiarity with version control and CI/CD processes.

• Excellent analytical, troubleshooting, and communication abilities.

• At least 8 years of experience with a BS/BA; at least 6 years with an MS/MA.

• Experience with Databricks or a similar lakehouse stack (Spark, Delta, dbt, Snowflake) is preferred.

• Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads is preferred.

• Background in regulated or accredited environments is preferred.

• Experience in government or defense contracting is preferred.

• Familiarity with data governance/cataloging tools and orchestration tools is preferred.

• Reliable, self-directed execution with minimal supervision.

• Strong collaboration skills across both technical and non-technical teams.

• Clear documentation and knowledge-sharing practices.

• A willingness to take on more responsibility and learn about the compliance environment.

🏝️ Benefits

• Employees may be eligible for overtime.

• Shift differentials may be available.

• Discretionary bonuses may be offered.