Note: The job is a remote job and is open to candidates in USA. Kentro is a federal consulting and technology solutions company that delivers innovative solutions and supports mission success for government customers. The Data Engineer will implement, enhance, and administer a modern Databricks data platform, developing scalable ETL/ELT pipelines and supporting data governance, Master Data Management, reporting, and analytics initiatives.

Responsibilities

• 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

Skills

• 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
• US Citizen
• Willing and able to obtain and maintain Public Trust Clearance
• Must meet updated ID requirements
• AWS Databricks
• AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, CloudWatch)
• 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
• Experience supporting Public Trust programs

Benefits

• Remote work arrangement
• Paid time off
• Healthcare benefits
• Supplemental benefits
• 401k including an employer match
• Discount perks
• Rewards
• Education reimbursement for certifications, degrees, or professional development; reimbursement amounts may fluctuate due to IRS limitations
• Flexibility to take a course, complete a certification, or pursue other professional growth and networking
• Funds for virtual and in-person activities, including happy hours, holiday events, fitness and wellness events, and annual celebrations
• Hosting and attendance at charity galas and events

Company Overview