Note: The job is a remote job and is open to candidates in USA. GDIT is a global technology and professional services company delivering technology solutions and mission services across the U.S. government, defense, and intelligence community. The Senior Analytics Engineer designs scalable data pipelines, analytics-ready datasets, dashboards, and analytical models while collaborating with cross-functional teams to support data-informed decisions and operational efficiency.
Responsibilities
- Design, build, and maintain automated, scalable ETL/ELT data pipelines using Python, SQL, and cloud-based tools to integrate, transform, and validate structured and unstructured data from diverse sources
- Develop and manage analytics-ready data models and workflows (e.g., in Databricks or similar platforms) to support reporting, self-service analytics, and advanced data science use cases
- Implement CI/CD practices using GitLab for data workflows, ensuring reliable, versioned, and repeatable analytics and data engineering processes
- Design, develop, and deploy interactive dashboards and reports using Tableau, Power BI, or similar tools to deliver complex analysis and actionable insights to business and technical stakeholders
- Perform data mining, cleaning, and manipulation using SQL and Python (e.g., Pandas, NumPy) to support statistical analyses, visualizations, and decision-support tools
- Conduct end-to-end analytical and modeling work, including exploratory data analysis, feature preparation, model validation, and documentation; experience with AI or predictive modeling is a plus
- Collaborate with cross-functional teams (data engineers, analysts, software developers, and stakeholders) to translate business requirements into effective data models, pipelines, and visualizations
- Compile and maintain metadata, data dictionaries, and technical documentation; produce recurring and ad-hoc reports for leadership
- Respond to urgent and ad-hoc data requests and support collaborative research and analysis projects across program areas
- Provide technical guidance and mentorship on analytics best practices, Python scripting, data modeling, and workflow automation
Skills
- * Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, with 5+ years of experience (or 3+ years with a Master's) in analytics engineering, data engineering, or data analysis
- * Strong proficiency in Python, SQL, Git/GitLab, and experience building ETL/ELT pipelines with CI/CD and data engineering best practices
- * Experience working with relational and non-relational databases (e.g., Oracle, PostgreSQL) and creating executive-ready dashboards using Tableau or Power BI
- * Strong analytical and problem-solving skills, attention to detail, and the ability to analyze large, complex datasets and communicate insights to technical and non-technical stakeholders
- * Ability to work independently and collaboratively in fast-paced, agile environments with excellent written and verbal communication skills
- * Experience with Databricks, cloud platforms (especially AWS), and modern data infrastructure
- * Exposure to AI/ML, advanced data modeling (classification, forecasting, NLP), and MLOps practices
- * Familiarity with workflow orchestration and automation tools such as Airflow, MLflow, or similar platforms
- * Experience working with government or regulated data environments, Agile/Scrum methodologies, and project management tools like Jira
- * Experience mentoring junior data professionals and contributing to analytics standards, best practices, and team development
Benefits
- Fully remote work arrangement
- Medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 401(k) plan with the ability to contribute both pre- and post-tax dollars up to IRS annual limits and receive a company match
- Full flex work weeks where possible
- Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- 15 days of paid leave per calendar year for vacations, personal business, and illness for new employees
- 10 paid holidays per year
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
- Short- and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
Company Overview