Posted today
Secret
$87,600 - $146,000
Unspecified
IT - Database
naval air station patuxent river, MD (On-Site/Office)
SMX is seeking 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.
Essential Duties & Responsibilities
Required Skills & Experience
Desired Skills/Experience:
Application Deadline: 3/23/2026
#cjpost #LI-HYBRID
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$87,600 - $146,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Essential Duties & 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.
Required Skills & Experience
- Clearance Required: Secret
- US Citizenship is required for work on DoD contract
- A Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
- 5+ years of related academic or professional experience
- 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.
- 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.
- Proficiency in GitLab and JIRA for project management and version control.
- High-level problem-solving and interpersonal skills.
- Flexible and able to work effectively in dynamic environments.
- 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.
Desired Skills/Experience:
- Experience with Tableau, Qlik, or Power BI for creating advanced visualizations and interactive dashboards.
- Experience with schema design and data modeling.
- Familiarity with Apache Spark or Hadoop.
- Experience implementing CI/CD pipelines for data engineering projects.
- Familiarity with aviation industry data and experience in the aerospace and/or defense industries.
- Adaptability to work effectively in dynamic environments
Application Deadline: 3/23/2026
#cjpost #LI-HYBRID
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$87,600 - $146,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
group id: 10102108
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