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General Dynamics is a global aerospace and defense company offering products designed to provide safety and security to people around the world. In the past, General Dynamics has p
Senior Data Engineer
Location
United States
Posted
111 days ago
Salary
$110.5K - $149.5K / year
Seniority
Senior
Job Description
Senior Data Engineer
General Dynamics
• Provide advanced analytical, machine learning, and data engineering support. • Design, develop, and deploy machine learning models for classification, regression, time series forecasting, and natural language processing applications. • Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools. • Develop and maintain production ML systems including model deployment, monitoring, versioning, and performance tracking. • Design, develop, and deploy interactive dashboards and data visualizations. • Perform end-to-end model development including exploratory data analysis, feature engineering, hyperparameter tuning, model validation, and documentation. • Develop and maintain data pipelines and workflows using tools such as AWS services, Databricks, and GitLab CI/CD. • Conduct data mining, cleaning, and manipulation using SQL, Python (Pandas, NumPy), or R.
Job Requirements
- At least 5 years of experience in data science, machine learning, or advanced analytics; 3 years of experience with a master's degree.
- Strong proficiency in Python and SQL for data manipulation, analysis, and pipeline development.
- Experience with ETL/ELT pipeline development and data engineering best practices.
- Demonstrated knowledge of data visualization platforms (Tableau, Power BI) and ability to translate technical insights into executive-level dashboards.
- Experience with cloud platforms and modern data infrastructure.
- Knowledge of statistical analysis and modeling techniques.
- Understanding of relational and non-relational databases (Oracle SQL, PostgreSQL, etc.).
- Strong version control and collaboration skills using Git (GitHub, GitLab).
- Exceptional analytical skills with strong attention to detail.
- Strong written and verbal communication skills with ability to present complex findings to non-technical stakeholders.
- Familiarity with ML orchestration tools (e.g. Kubeflow, ML Flow, Air Flow, Sage Maker, or similar) is preferred.
- Experience with MLOps practices including model monitoring, versioning, and production deployment is preferred.
- Experience working with federal government data systems and compliance requirements is preferred.
- Background in Agile/Scrum methodologies and project management tools (Jira) is preferred.
- Experience mentoring junior data professionals and establishing analytics best practices is preferred.
Benefits
- Health insurance
- Dental plan options
- Vision plan
- 401(k) plan with company match
- Paid time off plans including vacation and sick leave
- Paid holidays
- Paid parental leave
- Military leave
- Bereavement leave
- Jury duty leave
- Flexible work weeks
- Short and long-term disability benefits
- Life and accidental death and dismemberment insurance
- Critical illness and business travel accident insurance
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