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Sobre esta vaga de Data Engineer-Sr na GDIT

GDIT · Presencial · USA FL MacDill AFB

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

API Integration, Data Engineering, Data ETL, Git, People Management

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job Description:

YOUR IMPACT

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure.


OUR COMPANY

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. 


JOB DESCRIPTION

The Data Engineer-Sr will lead the backend data engineering team on the Intelligence Data Science Team (IDST) supporting the J2 Intelligence Enterprise at SOCOM HQ located at MacDill AFB, Florida.


The Data Engineer-Sr position will lead a small team focused on managing data infrastructure through various advanced technologies and methodologies. Additionally, the Data Engineer is expected to handle containerization by deploying applications with Docker and demonstrate a proficiency with navigating AWS cloud environments.


Preferred candidates will have a strong background in Apache Airflow, familiarity with both Postgres and Elasticsearch, and advanced skills in Docker, Kubernetes, and Helm charts. Experience using GitLab, proficiency in software testing with Python, setting up CI/CD pipelines on GitHub or GitLab, and knowledge of AI/ML technologies such as HuggingFace, PyTorch, Transformers, and the SQL Alchemy library are highly desirable.


JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)

  • Design, implement, and maintain reliable and scalable SQL databases.
  • Collaborate with cross-functional teams to translate client requirements into solutions using programming languages like Python, Java, Kafka, Hive, R, or Storm.
  • Oversee cloud-based database platforms and maintain security controls.
  • Develop and maintain basic ETL/ELT pipelines to support mission-critical analytics.
  • Assist in integrating, cleaning, and validating data from structured and unstructured sources.
  • Contribute to data modeling, documentation, and process improvement initiatives.
  • Creating API endpoints using Flask or FastAPI for accessing diverse sources like Commercially Available Information (CAI), Publicly Available Information (PAI), and classified datasets.
  • Developing data pipelines using Apache Airflow to perform ETL operations into Postgres or Elasticsearch databases, utilizing languages such as Python, Bash, and SQL.
  • Lead complex data engineering projects, mentor junior staff, contribute to strategic initiatives, and leverage advanced technical expertise in Python, SQL, and Spark to solve intricate data challenges.
  • Demonstrated experience managing small techincally focused teams delivering value to a globally distributed enterprise.

REQUIRED SKILLS:

  • Proficiency in Python, Bash, and SQL, as well as experience with Postgres or Elasticsearch databases.
  • Skilled in setting up Flask or FastAPI applications, Docker containerization, and Git version control, along with software testing expertise in Python.
  • Understanding of data warehousing concepts and cloud technologies (AWS, Azure, or GCP).
  • Familiarity with Databricks, Spark, or similar distributed data tools (academic/project experience accepted).

WHAT YOU’LL NEED TO SUCCEED

  • Clearance: Current DoW TS/SCI Clearance is required.
  • Experience: 10+ years of related experience (internship or academic project experience accepted).
  • Education: Bachelor’s degree in Data Engineering, Computer Science, Information Systems, or a related field.
  • Certifications: None required; cloud foundational certifications preferred.
  • Role requirements: On-site 5 days.
  • Due to US Government Contract Requirements, only US Citizens are eligible for this role 

IEX/GDIT IS YOUR PLACE 
At IEX/GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
  • Community: Award-winning culture of innovation and a military-friendly workplace

 
OWN YOUR OPPORTUNITY 
Explore a career at IEX/GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. #iexjobs


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans 


The likely salary range for this position is $145,350 - $196,650. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA FL MacDill AFB

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

 


Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

 

 

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
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Como este salário de Data Engineer se compara

Esta vaga paga $171,000/yr — em linha com da faixa típica para vagas de Data Engineer.

$101,500 a mediana $163,107 $239,350

Faixa típica $129,265–$192,500/yr, com base em 1,780 vagas de Data Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Engineer →

Sobre a GDIT

Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world. For more information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT

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