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Senior Databricks Data Engineer (AWS) - Remote Opportunity

Booker DiMaio, LLC

Lanham, MD(remote)

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JOB DETAILS
JOB TYPE
Full-time
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Caching, Centers for Disease Control and Prevention (CDC), Cisco Unity, Cloud Architecture, Cloud Computing, Computer Science, Continuous Improvement, Data Analysis, Data Management, Data Processing, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), FISMA - Federal Information Security Management Act, Federal Government, Government, Identify Issues, Information/Data Security (InfoSec), Internet Security, Internet Technology, Machine Learning, Mathematics, Metadata, Operational Audit, Operational Support, Operations Processes, Performance Tuning/Optimization, Product Support, Production Systems, Python Programming/Scripting Language, Query Optimization, Reporting Dashboards, SQL (Structured Query Language), Scalable System Development, Software Engineering, Systems Engineering, Technical Writing, Technical/Engineering Design, U.S. National Institute of Standards and Technology (NIST)
LOCATION
Lanham, MD
POSTED
6 days ago
Previous experience with a government client is required.

This is a remote position with a federal client who is based in Lanham, MD. Candidates must reside and perform work within the United States.

Position Overview

We are seeking two Senior Databricks Data Engineers to support a large-scale federal Enterprise Data Platform (EDP) modernization initiative. This role will focus on designing, developing, optimizing, and governing cloud-native data solutions utilizing Databricks Lakehouse technologies and Amazon Web Services (AWS).

The ideal candidate possesses extensive experience building enterprise-scale data pipelines, implementing data governance controls, optimizing large-scale data processing workloads, and enabling secure analytics capabilities in cloud environments. This position offers the opportunity to support a mission-critical federal data platform supporting trusted data intake, governed access, and advanced analytics capabilities.

Key Responsibilities
  • Design, develop, and maintain scalable data ingestion, transformation, and publishing pipelines utilizing Databricks and AWS services.
  • Implement and optimize Databricks Lakehouse capabilities including Unity Catalog, Delta Live Tables, Auto Loader, Databricks SQL, and Delta Sharing.
  • Build and maintain governed data products supporting operational, analytical, reporting, and machine learning workloads.
  • Develop and support medallion architecture data pipelines and enterprise data quality frameworks.
  • Implement data governance controls, metadata management, lineage tracking, and data retention policies.
  • Collaborate with cloud engineers, architects, cybersecurity specialists, and business stakeholders to deliver secure, production-ready solutions.
  • Optimize platform performance through partitioning, clustering, caching, workload tuning, and query optimization techniques.
  • Support analytics enablement through semantic layers, dashboards, reporting solutions, and self-service data access capabilities.
  • Participate in architecture reviews, operational readiness activities, platform modernization initiatives, and continuous improvement efforts.
  • Create and maintain technical documentation, design artifacts, operational procedures, and engineering standards.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
  • Minimum eight (8) years of experience in cloud-based data engineering, platform development, or data architecture.
  • Minimum three (3) years of hands-on Databricks experience in production environments.
  • Experience designing, developing, and supporting large-scale ETL/ELT solutions.
  • Strong experience with AWS services including S3, IAM, Glue, Athena, Lambda, Redshift, and CloudWatch.
  • Experience implementing enterprise data governance and security controls.
  • Strong SQL and Python development skills.
  • Experience working with data lakes, data warehouses, and cloud-native analytics platforms.
  • Strong troubleshooting, performance tuning, and optimization experience.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • AWS Data Analytics Specialty certification.
  • Experience supporting federal government or highly regulated environments.
  • Experience with real-time streaming, CDC solutions, and event-driven architectures.
  • Familiarity with FedRAMP, FISMA, and NIST security frameworks.
  • Experience supporting large-scale enterprise data platforms.

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Booker DiMaio, LLC

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