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# Data Engineer-Sr

- **Company:** IEX, LLC
- **Location:** Tampa, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,350.0 - $196,650.0
- **Contract:** Internship / Graduate position
- **Skills:** Testing (Software), Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Database, Information Systems, Databases, Information Engineering, 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, Google Cloud, 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
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/d3b36e81-6f24-4893-a152-1911ce6adbca

## About the Role

API Integration, Data Engineering, Data ETL, Git, People Management, 10 + years of related experience, 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 Google Cloud Platform).

 * 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.

## 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.