Senior Data Engineer

Join to apply for the Senior Data Engineer role at The Hartford

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

• Design, develop, and implement complex ETL/ELT processes using various data integration tools and programming language Python, SQL.
• Build and optimize data pipelines from diverse sources, including relational databases, No
  
  SQL databases, APIs, and streaming data platforms.
• Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
• Develop and maintain data warehouses and data lakes, ensuring data integrity, security, and performance.
• Implement data governance policies and best practices, including data quality checks, metadata management, and data lineage tracking.
• Automate data workflows, monitoring, and alerting systems to ensure data pipeline reliability and efficiency.
• Troubleshoot and resolve data-related issues, performing root cause analysis and implementing corrective actions.
• Participate in code reviews, mentor junior data engineers, and contribute to the continuous improvement of our data engineering practices.
• Evaluate and recommend new data technologies and tools to enhance our data platform capabilities.
• Ensure compliance with data privacy regulations and company security policies.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Master's degree preferred.
• 3+ years of experience in data engineering, software development, or a related role with a strong focus on data.
• Proven expertise in designing, building, and maintaining scalable data pipelines and ETL/ELT processes.
• Strong proficiency in SQL and Python; experience with JavaScript.
• Experience with Python packages FastAPI, Spa Cy, Pydantic, DBduck.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and their respective data services (e.g., S3, Redshift, Snowflake, Databricks).
• Solid understanding of data warehousing concepts, dimensional and relational modeling, and database design.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem‑solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a fast‑paced, agile environment.
• Experience in the insurance or financial services industry is a plus.

Hybrid work schedule: 3 days a week in an office location (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC).

Must be authorized to work in the US without company sponsorship.

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age