[Remote] Analytics Engineer

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

• 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
• Paid holidays
• Paid parental leave
• Military leave
• Bereavement leave
• Jury duty leave
• 15 days of paid leave per calendar year for vacations, personal business, and illness, typically provided to new employees
• An additional 10 paid holidays per year
• Up to 160 hours of paid leave in a rolling 12-month period through the GDIT Paid Family Leave program 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