Data Engineer (ETL & Databricks

Overview: the company is seeking a Data Engineer to support the implementation, enhancement, and ongoing administration of a modern Databricks data platform supporting Management Information (MI) and Business Intelligence (BI) initiatives for a federal customer.

The successful candidate will have hands‑on experience developing and maintaining Databricks data solutions while supporting enterprise data management, governance, and Master Data Management (MDM) initiatives. This individual will work closely with technical teams and business stakeholders to build scalable data pipelines, improve data quality, and support reporting and analytics across multiple business systems.

This is an excellent opportunity for a mid‑level data engineer who enjoys working with modern cloud technologies, Databricks, and enterprise data platforms in a collaborative federal consulting environment.
Location: Remote Salary Range: The salary for this position is between $145,000 – $165,000 annually. Factors affecting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Develop, maintain, and optimize Databricks notebooks, workflows, and ETL/ELT pipelines.

• Build and maintain data ingestion pipelines using PySpark, SQL, and Delta Lake.
• Support Medallion Architecture (Bronze, Silver, Gold) and Lakehouse implementations.
• Assist with performance tuning, cluster optimization, and operational support.
• Support Unity Catalog, data governance, and security best practices.

Support enterprise Master Data Management initiatives.

• Assist with data quality, matching, standardization, and data stewardship activities.
• Work with enterprise data governance teams to improve metadata, lineage, and business glossary initiatives.
• Help ensure consistency and integrity of enterprise data across multiple systems.

Partner with business users to understand reporting requirements.

• Support MI/BI reporting initiatives.
• Develop datasets supporting dashboards and analytics.
• Troubleshoot data quality and reporting issues.

Participate in Agile ceremonies.

• Work with cross‑functional technical teams.
• Document technical solutions and data flows.
• Participate in code reviews and knowledge sharing.

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.

• Minimum of 5 years of experience designing, developing, and supporting enterprise data solutions using Databricks.
• Minimum of 5 years of experience with SQL and Python/PySpark.
• Experience developing ETL/ELT pipelines and working with Delta Lake and Lakehouse architecture.
• Experience working within AWS cloud environments.
• Experience supporting enterprise data governance and data quality initiatives.
• Experience working in Agile development environments.

Must possess an active Databricks certification, such as:

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Databricks Certified Data Analyst Associate
• Databricks Certified Machine Learning Associate
• Other current Databricks certifications

Experience with one or more of the following:

• AWS Databricks
• AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, Cloud Formation, Cloud Watch)
• Apache Spark
• Delta Lake
• Unity Catalog
• Master Data Management (MDM)
• Informatica MDM
• Reltio
• Profisee
• Snowflake
• Data Governance
• Data Catalog
• Metadata Management
• Data Lineage
• Power BI or Tableau
• Jira / Agile methodologies

Federal consulting experience is highly preferred. Experience supporting Public Trust programs is preferred.

US Citizen

• Willing and able to obtain and maintain Public Trust Clearance
• Must meet updated : https://(Use the "Apply for this Job" box below).-documents
• If you do not currently meet the  outlined, you must be willing and able to update your current forms of  a timely manner to complete the suitability process successfully.

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