Senior Engineer – Data Analytics

Primary Job Title Senior Engineer – Data Analytics Alternate / Related Job Titles Data Analytics Engineer Senior Data Engineer (Snowflake / Power BI) ETL / BI Systems Engineer Location Chevy Chase, MD Onsite Flexibility Remote Contract Details Position Type : Contract Contract Duration : 2.5 months (approx.) Start : As Soon As Possible Pay Rate : $67–$77 / hr Job Summary The Senior Engineer – Data Analytics will design, develop, and optimize high-performance data analytics solutions to support enterprise-scale insurance operations. This role is part of the Data Analytics Center of Excellence (CoE) and focuses on building robust, scalable, and automated data models and reports using modern technologies like Snowflake, dbt, SQL, and Power BI. The ideal candidate brings both deep technical knowledge and a passion for innovation, collaboration, and engineering excellence. Key Responsibilities Develop scalable data models and reports leveraging SQL, dbt, and Python to transform multi-terabyte datasets into actionable insights. Utilize Power BI and Apache Superset for advanced data visualization and reporting across business domains. Lead design sessions, code reviews, and peer collaborations to promote engineering best practices. Support ETL / ELT architecture and ensure optimized data pipelines within the analytics ecosystem. Oversee data deployment pipelines and maintain consistent data availability. Mentor and guide junior engineers, fostering a culture of continuous learning. Share knowledge and best practices across cross-functional analytics and engineering teams. Contribute to DevOps and CI / CD initiatives using tools within the Azure DevOps framework. Collaborate with internal stakeholders to understand business requirements and translate them into technical deliverables. Required Experience & Qualifications 4+ years of experience in professional data analytics development using SQL-based technologies. 3+ years of experience in data architecture and data warehousing (Snowflake preferred). 3+ years of experience with ETL and/or BI tools (dbt, Power BI, Apache Superset). Proven expertise in dimensional data modeling, data quality monitoring, and automated testing. Experience with Python scripting and Airflow orchestration (preferred). Strong understanding of DevOps concepts and tools within the Azure DevOps ecosystem. Familiarity with Power Platform (Power Apps, Power Automate) is a plus. Ability to manage multiple priorities and deliver high-quality solutions in dynamic environments. Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, or related field. Required Skills SQL / dbt / Snowflake Development Power BI & Data Visualization ETL / ELT Architecture & Automation Preferred Skills Python Scripting Airflow or Other Orchestration Tools Azure DevOps & CI / CD Pipelines Additional Skills Dimensional Modeling Data Quality Monitoring Claims, Product, or Customer Data Analysis Benefits Medical, Vision, and Dental Insurance Plans Retirement Fund About the Company A national auto insurance provider offering affordable and reliable coverage across the United States. The organization also provides homeowners, renters, and boat insurance while maintaining a strong commitment to customer satisfaction, innovation, and continuous improvement. Employees enjoy a collaborative and technology-forward environment focused on excellence and growth. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the U.S. and Canada. Job Number : #LI-Remote#LI-GTT #J-18808-Ljbffr