Job description

Data Engineer The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data pipelines that transform raw operational data into governed, analytics-ready datasets. This role plays a key part in enabling the client's mission systems to make effective use of complex, evolving data sources, often in the absence of pre-defined analytic requirements. The position sits within a cross-disciplinary technical team delivering practical, results-driven data solutions. Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients. Location: San Diego, CA, Hybrid Clearance: Ability to obtain a Secret security clearance required Travel: Minimal travel may be required Responsibilities: • Design, build, and maintain scalable data pipelines using Databricks and PySpark • Develop and optimize Python and SQL based data transformation workflows • Analyze datasets that may lack predefined analytic requirements and independently identify valuable, actionable insights • Collaborate with stakeholders to translate ambiguous data problems into clear analytic solutions • Ensure data quality, governance, and consistency across pipelines and outputs • Document data engineering processes, pipeline architecture, and analytic approaches • Partner with cross-functional team members to integrate data outputs into downstream applications and dashboards • Troubleshoot and resolve data pipeline issues to maintain reliable, timely data delivery Required Qualifications: • Bachelor's degree in Computer Science, Data Science, or a related field; equivalent professional experience may be considered in lieu of a degree • 3 to 5 years of experience in data engineering or a related field • Demonstrated experience with Databricks and PySpark for large scale data processing • Strong programming ability in Python • Experience writing, optimizing, and troubleshooting SQL queries • Demonstrated ability to infer and define valuable analytics from datasets without established analytic requirements • Strong written and verbal communication skills, with the ability to convey technical concepts to diverse audiences • Ability to analyze technical challenges and contribute to effective solutions in a team environment • Must be a US citizen and able to obtain and maintain a Secret security clearance Preferred Qualifications: • Experience with React for front end development • Experience with Palantir Foundry • Prior experience supporting Department of Defense programs • Active security clearance Work Environment and Mental/Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. • Typical office environment with no unusual hazards • The noise level in the work environment is usually moderate • Constant sitting while using the computer terminal • Constant use of sight abilities while reviewing documents • Constant use of speech/hearing abilities for communication • Occasional reaching, stooping, kneeling, or crouching may be required • Occasional lifting up to 20 pounds • Constant use of mental alertness • Frequent work under deadlines Job Classification: Associate $85,000 to $100,000 (recommended estimate, pending internal validation) Disclaimer: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job related instructions and to perform any other job related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. • Seniority Level Entry level • Employment Type Full-time • Job Functions • Information Technology • Skills • Business Process • Computer Science • Communication • Data Transformation • Data Science • Communication Training • Enhanced Data Rates for GSM Evolution (EDGE) • Plays • Azure Dat

Requirements

Must-haves

Data Engineer
Location: San Diego, CA, Hybrid
Clearance: Ability to obtain a Secret security clearance required
Travel: Minimal travel may be required
Design, build, and maintain scalable data pipelines using Databricks and PySpark
Develop and optimize Python and SQL based data transformation workflows
Analyze datasets that may lack predefined analytic requirements and independently identify valuable, actionable insights
Collaborate with stakeholders to translate ambiguous data problems into clear analytic solutions
Ensure data quality, governance, and consistency across pipelines and outputs
Document data engineering processes, pipeline architecture, and analytic approaches
Partner with cross-functional team members to integrate data outputs into downstream applications and dashboards
Troubleshoot and resolve data pipeline issues to maintain reliable, timely data delivery
Bachelor's degree in Computer Science, Data Science, or a related field; equivalent professional experience may be considered in lieu of a degree
3 to 5 years of experience in data engineering or a related field
Demonstrated experience with Databricks and PySpark for large scale data processing
Strong programming ability in Python
Experience writing, optimizing, and troubleshooting SQL queries
Demonstrated ability to infer and define valuable analytics from datasets without established analytic requirements
Strong written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
Ability to analyze technical challenges and contribute to effective solutions in a team environment

Nice-to-haves

Experience with React for front end development
Experience with Palantir Foundry
Prior experience supporting Department of Defense programs
Active security clearance

Application prep

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Keywords to mirror

agilepythonsqlreactazure

Platform: clearcompany
Effort: medium