Databricks Data Engineer (Federal) - Remote

Experis Technology Group; Washington (District of Columbia); Hybrid; USD 96,000 - 124,000; Full time

Job summary

Federal Programs in Washington seeks a Databricks Specialist to support data engineering, analytics modernization, and cloud-based data platforms. Remote or onsite work options are available, and US citizenship is required for this federal role.

Design, develop, and optimize data pipelines using Databricks (SQL, Python, PySpark); build Delta Lake architectures; collaborate with stakeholders; implement CI/CD for data pipelines with DevSecOps practices.

Qualifications

• Minimum 4 years of hands-on Databricks experience (SQL, Spark, MLflow, Delta Lake).
• Strong Python and/or PySpark for data engineering tasks.
• Experience with cloud data platforms (Azure Data Lake, AWS S3, GCP Cloud Storage).
• Experience in federal environments or regulated industries.
• Databricks Data Engineer Professional Certification or ability to obtain within agreed timeframe.

Responsibilities

• Design, develop, and optimize data pipelines and ETL/ELT processes using Databricks (SQL, Python, PySpark).
• Architect and implement scalable, secure data engineering solutions aligned with federal compliance and governance standards.
• Build and manage Delta Lake architectures, including schema evolution, data quality, and performance tuning.
• Collaborate with federal stakeholders to translate business requirements into technical solutions within the Databricks platform.
• Implement CI/CD workflows for data pipelines and support DevSecOps best practices.

Skills

Databricks

Python

PySpark

Cloud platforms

Federal environments

Tools

Delta Lake

MLflow

CI/CD tooling

Job description

Federal Programs in Washington seeks a Databricks Specialist to support data engineering, analytics modernization, and cloud-based data platforms. Remote or onsite work options are available, and US citizenship is required for this federal role.

Design, develop, and optimize data pipelines using Databricks (SQL, Python, PySpark); build Delta Lake architectures; collaborate with stakeholders; implement CI/CD for data pipelines with DevSecOps practices.