Technical Lead - Data Engineering

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.

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By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams., 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. Share

• 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

Analytica LLC fully complies with all local and state regulations regarding the display of salary ranges. If required, the URL below is specifically for potential hires. The salary offered for a position is determined based on various factors, including applicants’ skills, job responsibilities, relevant experience, degrees, certifications, market considerations, and project financials. Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions.

Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

Review our open positions and apply to the positions that match your qualifications: Search All Openings, Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match., Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A “disabled veteran” is one of the following:
• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.
• A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) 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.