Data Engineer (ETL & Databricks)

Kentro • UNAVAILABLE, UNAVAILABLE

1d • Remote

About The Position

Kentro 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.

Requirements

• 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, or other current Databricks certifications.
• US Citizen
• Willing and able to obtain and maintain Public Trust Clearance
• Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents
• If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully.
• We are not able to provide sponsorships to H1B or F1 visas.

Nice To Haves

• Experience with AWS Databricks
• Experience with AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, CloudWatch)
• Experience with Apache Spark
• Experience with Delta Lake
• Experience with Unity Catalog
• Experience with Master Data Management (MDM)
• Experience with Informatica MDM
• Experience with Reltio
• Experience with Profisee
• Experience with Snowflake
• Experience with Data Governance
• Experience with Data Catalog
• Experience with Metadata Management
• Experience with Data Lineage
• Experience with Power BI or Tableau
• Experience with Jira / Agile methodologies
• Federal consulting experience is highly preferred.
• Experience supporting Public Trust programs is preferred.

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.

Benefits

• paid time off
• healthcare benefits
• supplemental benefits
• 401k including an employer match
• discount perks
• rewards
• education reimbursement for certifications, degrees, or professional development
• funds for activities – virtual and in-person – e.g., happy hours, holiday events, fitness & wellness events, and annual celebrations
• charity galas/events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level