Python) | Active Secret Clearance Required

Loch Harbour Group•San Diego, CA

1d•Hybrid

About The Position

Loch Harbour Group is seeking a Senior Databricks Engineer to support a high-visibility, mission-critical environment within the Navy. This role operates at the intersection of data engineering, solution architecture, and customer engagement, requiring an individual who can take ambiguous or undefined requirements and translate them into fully deployed, production-ready solutions. This is a high-impact, fast-paced Agile environment where solutions are often required within days. The ideal candidate is a technically elite problem solver who can operate independently, lead solution development end-to-end, and interface directly with government stakeholders and technical teams.

Requirements

10+ years of experience in data engineering, software development, or solution architecture
Demonstrated experience leading end-to-end solution delivery from requirements through deployment
Expert-level proficiency (non-negotiable): Databricks
Expert-level proficiency (non-negotiable): Qlik (Qlik Sense / QlikView)
Expert-level proficiency (non-negotiable): Python
Expert-level proficiency (non-negotiable): SQL
Strong experience with: Data lakes and/or data cubes
Strong experience with: Data modeling and transformation
Strong experience with: Data validation and integrity analysis
Strong experience with: Power BI
Strong experience with: PowerShell
Proven ability to: Operate in highly ambiguous environments
Proven ability to: Define requirements where none are clearly stated
Proven ability to: Work independently with minimal oversight
Proven ability to: Lead technical efforts without formal authority
Strong analytical and troubleshooting skills, particularly with complex or conflicting data
Excellent communication skills, with the ability to interface directly with government stakeholders
Experience working in Agile / rapid development environments
Active Secret Clearance Required

Nice To Haves

Experience with: Navy ERP or similar financial systems
Experience with: Replicated or synthetic data environments (e.g., Jupiter or similar)
Experience integrating with: Jira / Atlassian ecosystems
Familiarity with: Federal or DoD environments
Familiarity with: Data governance and compliance standards
Relevant certifications (preferred, not required): Databricks certification
Relevant certifications (preferred, not required): Agile /Scrum certifications
Relevant certifications (preferred, not required): Data engineering or cloud certifications

Responsibilities

Lead the end-to-end solution lifecycle: Facilitate requirements definition in ambiguous environments
Translate business needs into technical designs
Develop, test, deploy, and validate solutions with end users
Serve as the primary bridge between stakeholders and technical teams, ensuring alignment between customer needs and delivered capabilities
Design and implement data-driven solutions leveraging Databricks, Qlik, Python, and SQL
Perform data validation, integrity assessment, and troubleshooting, particularly within replicated environments (e.g., Navy ERP data in Jupiter)
Develop and maintain data pipelines, data models, and analytics solutions across data lakes and data cubes
Conduct risk assessments and mitigation planning for data, systems, and solution delivery
Work in a rapid Agile delivery model, supporting mission-critical needs with tight timelines
Collaborate with: Jira/Atlassian administrators
Collaborate with: Data scientists and visualization teams
Collaborate with: Government stakeholders and functional users
Support front-end solution development using Qlik, enabling downstream dashboarding and analytics
Ensure delivered solutions meet performance, usability, and mission requirements