Data Engineer

Expression is seeking an experienced Data Engineer to support the design development and operational deployment of scalable AI-enabled data solutions for the Department of Defense CDAO ADA IR program.

The Data Engineer will work as part of a multidisciplinary team integrating data engineering advanced analytics machine learning and software engineering capabilities into mission-critical environments supporting Combatant Commands. This role will design and deploy data pipelines preprocessing workflows feature-engineering strategies reusable data services and machine learning capabilities within secure containerized environments.

The successful candidate will collaborate with product managers full-stack developers platform and DevSecOps engineers data scientists and mission stakeholders to transform structured and unstructured data into operational insights and decision-support capabilities. The role combines data engineering applied data science and production ML responsibilities and emphasizes reproducibility testing secure deployment technical communication and continuous delivery.

Clearance: Secret clearance required ability to obtain TS/SCI clearance
Location: Onsite Washington DC

Key Responsibilities

• Design develop and maintain reusable services for data ingestion transformation preprocessing and feature engineering supporting AI/ML workflows.
• Build scalable data pipelines and workflows supporting structured and unstructured mission data.
• Implement data science capabilities such as entity resolution classification clustering prediction anomaly detection pattern recognition and decision-support functions.
• Develop services within secure containerized environments using established CI/CD version-control testing and documentation standards.
• Collaborate with DevSecOps engineers to integrate data and ML services into secure production environments using technologies such as Databricks Docker and Terraform.
• Ensure production services meet applicable performance reliability security and architectural requirements for DoD enterprise and cloud-native environments.
• Develop and deploy standalone and embedded machine learning models supporting mission decision-making automation anomaly detection and pattern recognition.
• Select and implement appropriate modeling approaches using Python Spark and cloud-native ML frameworks such as SageMaker and MLflow.
• Maintain reproducibility and interpretability of model outputs to support mission transparency and audit requirements.
• Package model-inference services using documented APIs for integration with end-user applications operational dashboards and other mission capabilities.
• Conduct exploratory data analysis to identify patterns trends data gaps and opportunities across structured and unstructured datasets.
• Develop data visualizations analytical outputs and interpretive summaries supporting stakeholder understanding and product-team decisions.
• Translate analytical findings into actionable recommendations using visual narrative and quantitative communication methods.
• Develop and contribute reusable analysis templates queries and analytical workflows to improve delivery efficiency.
• Engage product managers and mission users to define data analytical and model requirements aligned with operational objectives.
• Collaborate with software platform and DevSecOps engineers to ensure data science components align with technical constraints architecture and deployment patterns.
• Participate in Agile sprint planning retrospectives demonstrations and related delivery activities.
• Maintain documentation supporting technical accountability reproducibility operational handoff and sustainment.

Required Qualifications

• One of the following combinations of education certification and recent specialized experience:
  • Bachelors degree plus 3 years of recent specialized experience; or
  • Associates degree plus 7 years of recent specialized experience; or
  • Major certification plus 7 years of recent specialized experience; or
  • 11 years of recent specialized experience.
• Experience with data visualization and data storytelling using tools such as Palantir MSS Workshop and Slate applications.
• Proficiency with Python SQL and distributed data frameworks including technologies such as Spark Databricks and PySpark.
• Experience developing machine learning models from training through deployment using industry-standard tools and libraries such as scikit-learn TensorFlow and XGBoost.
• Strong technical communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications

• 4 years of experience in applied data science Palantir Foundry development or data-pipeline development.
• Familiarity with MLOps API development and secure cloud-based environments including AWS Azure or Palantir Foundry.
• Strong understanding of data validation model testing and performance-evaluation techniques.

Benefits:

Expression offers competitive salaries and benefits such as:

• 401k matching
• PPO and HDHP medical/dental/vision insurance
• Education reimbursement up to $10000/yr
• Complimentary life insurance
• Generous PTO and 11 days of holiday leave
• Onsite gym facility and trainer
• Commuter Benefits Plan
• In-office Cold Brew Coffee

About Expression:

Founded in 1997 and headquartered in Washington DC Expression provides data fusion data analytics AI/ML software engineering information technology and electromagnetic spectrum management solutions to the U.S. Department of Defense Department of State and national security community. Expressions culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018s Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals milestones accomplishments promotions overcoming challenges and many other aspects that make an engaging collaborative environment.

Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process please submit your request to our Human Resources department through the application portal.