Data Engineer Lead
Analytica
- Bethesda, Maryland, United States
- Bethesda, Maryland, United States
Über
Technical Lead – Data Engineering
to support the design, development, and delivery of modern data and analytics solutions in a cloud‑based environment. This role is best suited for a senior engineer who has grown into a leadership role and enjoys mentoring teams while remaining deeply involved in technical execution.
This role follows a hybrid schedule; candidates should be located in the DMV area to support in‑person collaboration as needed.
The Technical Lead will be a contributor who can lead by example—guiding engineers, coordinating technical delivery, and helping teams solve complex engineering challenges. The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments.
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
Assist with 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 is 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
Certifications:
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
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
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Sprachkenntnisse
- English
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