Data Engineer

Kentro•Woodlawn, MD
•Hybrid

About The Position

Kentro is seeking a Data Engineer to support the implementation, enhancement, and ongoing administration of a modern data platform for Management Information (MI) and Business Intelligence (BI) initiatives for a federal customer. The role involves developing and maintaining data solutions while supporting enterprise data management, governance, and Master Data Management (MDM) initiatives. The engineer will collaborate 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 a mid-level opportunity in a collaborative federal consulting environment, working with modern cloud technologies and enterprise data platforms. The position is based in Woodlawn, Maryland, with a hybrid work arrangement. The role may be performed as a full-time W2 position or as a 1099 engagement, with the possibility of transitioning to full-time W2 employment in the future. Applicants must be U.S. citizens and be willing and able to obtain and maintain Public Trust clearance.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
  • At least 5 years of experience designing, developing, and supporting enterprise data solutions using cloud-based data solutions such as Databricks, Snowflake, or AWS.
  • At least 5 years of experience with SQL and Python/PySpark.
  • Experience developing ETL/ELT pipelines and working with Delta Lake and Lakehouse architecture.
  • Experience working in AWS cloud environments.
  • Experience supporting enterprise data governance and data quality initiatives.
  • Experience working in Agile development environments.
  • Must be a U.S. citizen.
  • Must be willing and able to obtain and maintain Public Trust clearance.
  • Must meet updated ID requirements or be willing and able to update current forms of ID in a timely manner to complete the suitability process.
  • H-1B and F-1 visa sponsorship is not available.

Nice To Haves

  • Experience with AWS Databricks.
  • Experience with AWS services such as S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, or CloudWatch.
  • Experience with Apache Spark.
  • Experience with Delta Lake.
  • Experience with Unity Catalog.
  • Experience with Master Data Management (MDM).
  • Experience with Informatica MDM, Reltio, or Profisee.
  • Experience with Snowflake.
  • Experience with data governance, data catalogs, metadata management, or data lineage.
  • Experience with Power BI or Tableau.
  • Experience with Jira or Agile methodologies.
  • Federal consulting experience.
  • Experience supporting Public Trust programs.

Responsibilities

  • Develop, maintain, and optimize notebooks, workflows, and ETL/ELT pipelines.
  • Build and maintain data ingestion pipelines using PySpark, SQL, and Delta Lake.
  • Support Lakehouse implementations.
  • Assist with performance tuning, cluster optimization, and operational support.
  • Support 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.
  • 401(k) with employer match.
  • Discount perks and rewards.
  • Education reimbursement for certifications, degrees, or professional development.
  • Virtual and in-person activities, including happy hours, holiday events, fitness and wellness events, and annual celebrations.
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