Analytics Engineer

Clearance Level None Category Data Science and Data Engineering Location Remote, Working from the USA Key Skills For Success Data Modeling GitLab CI/CD Programming Languages Structured Query Language (SQL) Tableau (Software) ##### **REQ\#:****RQ229758** ##### **Public Trust:****BI Full 6C (T4\)** ##### **Requisition Type:****Regular** ##### **Your Impact** Own your opportunity to work alongside federal civilian agencies. Make an impact by delivering solutions that improve citizen services millions depends on. **Job Description** ------------------- The Principal Analytics Engineer provides advanced analytics and data engineering support across multiple business and program areas. This role sits at the intersection of data engineering, analytics, and business intelligence—designing scalable data pipelines and analytics\-ready datasets while delivering dashboards and analytical models that drive data\-informed decisions and operational efficiency. This position is fully remote and requires a Public Trust (or the ability to obtain it). US citizenship required. The candidate may be required to work outside of business hours, including weekends, based on need. **Key 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. **Required Qualifications** * 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. **Preferred Qualifications** * 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. ### **Work Requirements** Years of Experience 5 \+ years of related experience * may vary based on technical training, certification(s), ***or*** degree Certification Travel Required None Citizenship U.S. Citizenship Required ### **Salary and Benefit Information** The likely salary range for this position is $127,500 \- $172,500\. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. ### **Our Identity Verification Process** As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. ### **About Our Work** We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50\+ countries worldwide, offering leading mission\-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. *Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans*