Data Engineer with active Top Secret or DHS clearanceIndev • Ashburn, Virginia, United States
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Data Engineer with active Top Secret or DHS clearance
Indev
- Ashburn, Virginia, United States
- Ashburn, Virginia, United States
Über
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).
YOUR FUTURE DUTIES AND RESPONSIBILITIES
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, PostgreSQL, 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
QUALIFICATIONS
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, PostgreSQL, 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 visualizations and dashboards using Tableau and/or Power BI, with a strong emphasis on data storytelling and executive‑level communication
Experience leading or significantly contributing to the full analytics lifecycle, including problem framing, data acquisition, modeling, validation, deployment, and performance monitoring
Ability to operate independently in ambiguous environments, translating complex business challenges into structured analytical approaches and actionable insights
Strong collaboration and leadership skills, with experience guiding cross‑functional teams and influencing stakeholders at multiple levels of the organization
Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non‑technical audiences
Familiarity with modern software development practices, including version control (e.g., Git), testing, and iterative development methodologies
Experience developing prototypes and proof‑of‑concept solutions, with the ability to rapidly iterate and transition solutions into production‑ready systems
Knowledge of federal data governance standards, compliance requirements, and best practices is strongly preferred
NICE TO HAVES
Prior experience working with ETL tools like Informatica, Talend, or Airflow
Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed systems
Familiarity with automation tools (e.g., UiPath, Power Automate) and their integration into data pipelines
Experience working in environments requiring DHS Suitability Clearance is highly preferred
Strong knowledge of change management processes and technologies (e.g., GitHub)
Experience modeling and analyzing big data in cloud environments
Demonstrated experience developing prototypes and proof‑of‑concept applications or software from end‑to‑end
Knowledge of federal data governance standards and compliance frameworks
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Sprachkenntnisse
- English
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