Data Engineer Top Secret or DHS clearance

Position Title
:
Data Engineer with active Top Secret or DHS clearance

Location
:
Hybrid with occasional travel to Washington, DC

Clearance
: U.S. Citizen;
Must have an active DoD Top Secret clearance or DHS Public Trust

Employment Type
:
Full-Time

Indev is seeking a Data Engineer with 6+ years of experience to join our team in designing, implementing, and optimizing data architectures and pipelines. You will work closely with our Department of Homeland Security (DHS) client to build and manage data infrastructure that supports advanced data analytics, AI, machine learning, and automation initiatives aimed at enhancing operations, reducing costs, and improving efficiency.

This role specifically involves hands‑on configuration (e.g., AWS tools, Airflow) and development (e.g., Python, R) for data that supports our Chief Financial Officer customer. In addition, you will work directly with senior executives and leaders to provide architecture, design, and technical advice for new initiatives (e.g., chatbots, automations, analytics).

• Design, develop, and optimize data pipelines and architectures that support data‑driven decision‑making across AI and ML initiatives
• Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and quality
• Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into centralized systems
• Design, develop and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics
• Ensure data security and compliance with federal regulations, including managing sensitive and classified data
• Monitor and maintain data pipelines to ensure continuous data flow and resolve any data‑related issues
• Collaborate with cross‑functional teams to identify and integrate new data sources and optimize data management practices
• Stay current with industry trends and emerging technologies in data engineering, cloud infrastructure, and big data processing
• Perform other related duties as required to support the mission
• Design and create interactive dashboards and reports using Tableau and Power BI
• Present findings in a clear, concise manner tailored to both technical and non‑technical audiences
• Work with relational databases (e.g., Oracle, Postgre
  
  SQL, MySQL, Redshift) to support data integrity and consistency
• Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS)
• Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval
• Guide and support cloud modernization of data processes
• Collaborate with cross‑functional teams, including engineers, analysts, and business stakeholders
• Clearly articulate analytical concepts and results to a wide range of audiences
• Contribute to and present client‑facing presentations and written reports

• Bachelor’s Degree in Mathematics, Computer Science, Information Systems, or a related discipline from an accredited institution in the United States
• 6+ years of progressive experience in data science, advanced analytics, data visualization, and reporting, with demonstrated ownership of analytical solutions from concept through delivery and operationalization
• Proven ability to lead the design, development, and deployment of data‑driven solutions, including AI/ML models, predictive analytics, and business intelligence products in production environments
• Advanced proficiency in Python for data manipulation, automation, and development of scalable analytical workflows
• Strong expertise in SQL and relational databases (e.g., Oracle, Postgre
  
  SQL, MySQL), with the ability to design efficient data models and support complex data integration needs
• Extensive experience developing automated data pipelines and analytics workflows using Python, R, SQL, and related tools, with a focus on scalability, reliability, and maintainability (e.g., Pandas, R Shiny)
• Hands‑on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions
• Demonstrated ability to design and deliver impactful data…