Data Engineer

Posted Yesterday
San Diego, CA, USA
In-Office
85K-100K Annually
Mid level
Information Technology • Consulting • Cybersecurity • Defense
The Role
Designs, builds, and maintains scalable Databricks and PySpark data pipelines; develops Python and SQL transformations; identifies insights from ambiguous datasets; and ensures data quality, governance, documentation, and reliable delivery. Collaborates with stakeholders and cross-functional teams to integrate data into applications and dashboards, troubleshoot pipeline issues, and support a Department of Defense Navy client.
Summary Generated by Built In

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

Skills Required

  • Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent professional experience
  • 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
  • Ability to define valuable analytics from datasets without established analytic requirements
  • Strong written and verbal communication skills
  • Ability to analyze technical challenges and contribute to team solutions
  • Must be a US citizen
  • Ability to obtain and maintain a Secret security clearance
  • Experience with React for front-end development
  • Experience with Palantir Foundry
  • Prior experience supporting Department of Defense programs
  • Active security clearance
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
71 Employees
Year Founded: 2002

What We Do

The Marlin Alliance, Inc. is a woman-owned business and digital transformation consulting firm. Its mission is to ensure clients compete and win in tomorrow's digital world by providing integrated services in digitization, automation, and software solutions. The company serves both commercial clients in sectors like healthcare and energy, as well as military and government agencies within the Department of Defense.

Similar Jobs

Centerfield Logo Centerfield

Data Engineer

AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • SEO
Hybrid
Los Angeles, CA, USA
890 Employees
100K-130K Annually

Applied Systems Logo Applied Systems

Data Engineer

Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Remote or Hybrid
United States
3116 Employees
160K-260K Annually

Federal Reserve Bank of Boston Logo Federal Reserve Bank of Boston

Data Engineer

Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
In-Office
12 Locations
1200 Employees
140K-210K Annually

Superhuman Logo Superhuman

Data Engineer

Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Hybrid
2 Locations
1500 Employees
157K-245K Annually

Similar Companies Hiring

NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Outpost Space Thumbnail
Aerospace • Defense
US
24 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account