Data Engineer

Sabre Systems LLC

5h•$146,432 - $162,270•Remote

About The Position

Sabre Systems is currently recruiting for a Data Engineer to provide support for the NAWCAD Readiness & Fleet Analytics (R&FA) Division’s Advanced Analytics and Innovation (AA&I) Branch at Patuxent River Naval Air Station in Lexington Park, MD. This Data Engineer will primarily involve migrating code for data science projects from Cloudera Data Science Workbench (CDSW) to Databricks. The candidate will design, build, and maintain robust data pipelines and architectures that support advanced analytics and decision-making across the Naval Aviation Enterprise. The candidate will focus on data engineering tasks, including data extraction, transformation, and loading (ETL), database management, and optimizing data workflows. Your work will directly support Program Management Air (PMA) offices, Air Systems Group, Command, Fleet Readiness Centers, and other Department of Defense (DoD) services. As a Data Engineer, you will leverage Python, SQL, and cloud-based platforms to ensure the seamless flow of data between systems and applications. You will play a critical role in enabling data-driven solutions by ensuring data integrity, scalability, and accessibility for analytics teams and stakeholders. This is a full-time position with telework as the standard arrangement, complemented by occasional in-office requirements.

Requirements

Education: A Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field with 5+ years of related academic or professional experience.
Technical Expertise:
Proficiency in Python and SQL, with hands-on experience in developing ETL pipelines and managing databases.
Experience with cloud platforms such as AWS, Databricks, or similar tools.
Strong understanding of relational and non-relational database systems.
Code Migration & Translation Experience:
Proven experience migrating workflows and code from legacy platforms (e.g., CDSW) to modern cloud-based environments (e.g., Databricks).
Ability to translate existing workflows to new environments while ensuring results are consistent or improved in terms of performance and data quality.
Proficiency in HiveQL and Python for data engineering tasks.
Project Management Tools:
Proficiency in GitLab and JIRA for project management and version control.
Problem-Solving & Adaptability:
High-level problem-solving and interpersonal skills.
Flexible and able to work effectively in dynamic environments.
Collaboration Skills:
Strong oral and written communication skills, including the ability to interact professionally across all levels of management.
Proven ability to work collaboratively with cross-functional teams to deliver data solutions.
Must have an active DoD Secret Clearance or higher.
Must be an U.S. Citizen.

Nice To Haves

Dashboard Development: Experience with Tableau, Qlik, or Power BI for creating advanced visualizations and interactive dashboards.
Data Modeling: Experience with schema design and data modeling.
Big Data Technologies: Familiarity with Apache Spark or Hadoop.
CI/CD Workflows: Experience implementing CI/CD pipelines for data engineering projects.
Aerospace and Defense Experience: Familiarity with aviation industry data and experience in the aerospace and/or defense industries.
Adaptability to work effectively in dynamic environments

Responsibilities

Code Migration & Translation
Migrate existing HiveQL and Python-based workflows from Cloudera Data Science Workbench (CDSW) to Databricks.
Translate existing workflows to the new environment while ensuring results are consistent or improved in terms of performance, scalability, and data quality.
Refactor and optimize code to leverage Databricks features and capabilities effectively.
Collaborate with analytics teams to validate migrated workflows and ensure functionality aligns with project requirements.
Cloud-Based Data Engineering
Leverage cloud platforms such as AWS, Databricks, or similar tools to manage and process large-scale datasets.
Implement CI/CD workflows for data engineering projects to streamline development and deployment.
Data Pipeline Development
Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into centralized databases or data warehouses.
Automate data workflows and processes to ensure efficient and reliable data delivery.
Optimize data pipelines for scalability, performance, and fault tolerance.
Database Management
Build and manage relational and non-relational databases to support analytics and reporting needs.
Write and optimize complex SQL queries for data extraction and manipulation.
Ensure data integrity, security, and accessibility across all systems.
Collaboration & Support
Work closely with stakeholders, including product owners and analytics teams, to understand data requirements and deliver solutions that meet business needs.
Provide technical guidance and support to team members on data engineering best practices.