Data Engineer-Sr

General Dynamics Information Technology
Tampa, FL, United States
14 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,350.0 - $196,650.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Java (Programming Language) Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Cloud Database Information Systems Databases Information Engineering
+31 more
Data Infrastructure Extract Transform Load (ETL) Data Warehousing Distributed Data Store Elasticsearch Github R (Programming Language) Apache Hive Data Intelligence Python (Programming Language) PostgreSQL Machine Learning Software Deployment SQL Databases Pytorch Flask (Web Framework) Apache Spark Kubernetes Helm Charts Backend Gitlab Git Fastapi Kubernetes Information Technology HuggingFace Apache Kafka Data Pipelines Docker Databricks Web Api Programming Languages

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., * 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.

Requirements

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., * 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., 10 + years of related experience
  • may vary based on technical training, certification(s), or degree

Benefits & conditions

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.

About the company

Iron EagleX, a GDIT company, contributes to the U.S. government’s mission of protecting our nation and enables our customers to make quicker decisions and act faster than our adversaries., Own your opportunity to support our nation’s defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure., 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., 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.

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