> Markdown version of [/jobs/ext/4027159-data-engineer-lead](https://www.wearedevelopers.com/jobs/ext/4027159-data-engineer-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Lead - **Company:** ANALYTICA - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Big Data, Code Review, Information Systems, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Scrum Methodology, Systems Integration, Data Processing, Apache Spark, Software Troubleshooting, Git Flow, Information Technology, Data Analytics, Data Pipelines, Databricks - **Published:** October 30, 2026 - **Apply:** https://www.juju.com/job/16_7953e5ae1 ## About the Role * 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 ## Description Analytica is seeking a hands-on 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 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., * 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, To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. * Application Review: AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.