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Data Engineer (Hybrid) (Tampa)

Data Engineer (Hybrid) (Tampa)

ClearanceJobsTampa, FL, United States
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Data Engineer

Elder Research is seeking Data Engineers to support a U.S. national security client at MacDill AFB in Tampa, FL. In this mission-focused role, you will apply advanced data engineering techniques to enable intelligence analysts to uncover hidden patterns, enhance decision-making, and drive intelligence innovation in support of national security. This hybrid role offers the opportunity to work at the cutting edge of analytics and defense, directly impacting military operations across the U.S. Intelligence and Defense community. Our team integrates expertise in data science, AI / ML, and intelligence operations to deliver data-driven solutions for the U.S. National Security enterprise. The work directly contributes to decision-making, mission readiness, and the ability of operators to succeed in a complex global battlespace.

Position Requirements :

  • Bachelors degree in a technical field (e.g., Engineering, Mathematics, Statistics, Physics, Computer Science, IT, or related discipline).
  • Active Top Secret (TS) clearance.
  • 3+ years of experience.
  • Experience with Python, SQL, noSQL, Cypher, POSTGRES, SQLAlchemy, Swagger, Spark, Hadoop, Kafka, Hive, R, Apache Storm, Neo4J, MongoDB, and Cloud platforms (AWS, Azure, GCP, or similar).
  • Ability to work independently as well as within cross-functional teams.
  • Strong communication, problem-solving, and critical-thinking skills.

Preferred Skills and Qualifications :

  • Active TS / SCI clearance.
  • Experience supporting the intelligence domain, particularly Intelligence, Surveillance, and Reconnaissance (ISR).
  • Previous work supporting Special Operations Forces (SOF) missions or U.S. national security customers.
  • Why apply to this position at Elder Research?

  • Competitive Salary and Benefits
  • Important Work - Make a Difference supporting U.S. national security.
  • Job Stability : Elder Research is not a typical government contractor, we hire you for a career not just a contract.
  • People-Focused Culture : we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.
  • Company Stock Ownership : all employees are provided with shares of the company each year based on company value and profits.
  • About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

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    Data Engineer Hybrid • Tampa, FL, United States

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