Data Engineer Lead

Key Responsibilities

• Lead day-to-day technical execution for engineering teams delivering data and analytics solutions
• Serve as a senior hands-on engineer contributing to solution design, development, troubleshooting, and optimization
• Guide and mentor engineers through technical leadership, collaboration, and code review
• Support development and maintenance of scalable data pipelines, integrations, and processing frameworks within Databricks and AWS
• Collaborate with architects and program leadership to implement technical solutions aligned with project objectives
• Help break down requirements into actionable development tasks and support sprint execution
• Partner with application engineers, QA/test teams, and business analysts to ensure successful delivery
• Promote engineering best practices around performance, maintainability, testing, and operational support
• Absorb production support, root cause analysis, and continuous improvement efforts
• Contribute to Agile delivery activities including backlog refinement, sprint planning, and technical estimation

Required Qualifications

• U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master’s degree in a plus.
• 8+ years of experience building and maintaining ETL/ELT pipelines and large-scale data processing solutions
• Hands-on expertise with Databricks and modern data engineering frameworks
• Experience working within AWS cloud environments
• Strong proficiency in Python and/or Spark-based data processing
• Familiarity with CI/CD pipelines, Git-based workflows, and Agile development practices
• Strong troubleshooting, collaboration, and communication skills
• Ability to lead technical efforts while remaining hands-on in delivery
• Certification in one or more Databricks Certified Data Engineer Associate and/or Databricks Certified Machine Learning Associate
• AWS Certified Data Analytics – Specialty and/or AWS Certified DevOps Engineer – Professional
• Experience working in client-facing or consulting environments
• Strong communication skills with the ability to bridge technical and non-technical stakeholders
• Familiarity with Agile/Scrum methodologies and tools

About ANALYTICA

Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.