Senior Data Engineer

Sr Data Engineer – GE07BE

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.

The Hartford's Data Science Organization is seeking a Senior Data Engineer – Developer to directly support its patented NLP (natural language processing) data asset. The Senior Data Engineer will be responsible for sourcing unstructured data from a variety of disparate sources and formats (free-form narratives, scanned documents, transcribed conversations, etc.) into its core NLP asset in support of predictive models and operational processes.

The successful candidate will bring to this role an intellectually curious mindset, a talent for creative problem solving using a variety of technologies, and the strategic vision to propose and execute technical solutions to business problems in the context of cost versus benefit. S/He will work with NLP developers, business partners and IT staff to maintain and enhance the existing asset as well as develop new data flows using existing and new technologies.

Leadership skills are required to 1.) independently drive solutions to success, 2.) recommend strategic designs, and 3.) mentor and direct junior data engineers.

We are looking for a collaborative member of a small, highly effective team who can work independently to remove impediments and execute technical solutions to business problems.

We are seeking a highly skilled and experienced Senior Data Engineer – Developer to design, develop, and maintain robust and scalable data pipelines and solutions. This role will play a critical part in shaping our data architecture and ensuring the availability and quality of data for analytics and business intelligence.

• 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, 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, data modeling (dimensional and relational), 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…