Senior Engineer – Data Analytics

Global Technical Talent; Elundini Local Municipality; Remote; ZAR 300 000 - 400 000; Full time

Job summary

A national auto insurance provider is seeking a Senior Engineer – Data Analytics to design and optimize data analytics solutions supporting enterprise-scale operations. This role requires expertise in SQL, Snowflake, and Power BI, as well as a passion for engineering excellence. Ideal candidates possess robust experience in data modeling and DevOps concepts. Join a collaborative and innovative work environment that prioritizes customer satisfaction and technological advancement.

Benefits

Medical, Vision, and Dental Insurance Plans

401(k) Retirement Fund

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).
• Strong understanding of DevOps concepts and tools within the Azure DevOps ecosystem.

Responsibilities

• Develop scalable data models and reports leveraging SQL, dbt, and Python.
• Utilize Power BI and Apache Superset for advanced data visualization.
• Support ETL / ELT architecture and ensure optimized data pipelines.

Skills

SQL / dbt / Snowflake Development

Power BI & Data Visualization

ETL / ELT Architecture & Automation

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, or related field

Tools

Python

Airflow

Azure DevOps

Job description

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
• 401(k) 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 500 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. We look forward to helping you land your next great career opportunity!

Job Number: 25-28099 #LI-Remote#LI-GTT