Sr. Staff Data Engineer - GenAI (Tech Lead) - Hybrid

The Hartford; Hartford (CT); Hybrid; USD 135,000 - 203,000; Full time

Job summary

Join a forward-thinking insurance company as a Sr. Staff Data Engineer, where you will lead initiatives in Data Engineering and AI. This role offers a unique opportunity to work on cutting-edge technologies, developing data products and pipelines that drive insights across multiple platforms. Collaborate with cross-functional teams to modernize data practices and implement innovative solutions, all while fostering a data-driven culture. With a hybrid work environment, you will have the flexibility to balance in-office collaboration with remote work. This position not only supports your professional growth but also contributes to meaningful projects that impact the future of the industry.

Qualifications

• 2+ years of experience in Data Engineering with strong analytical skills.
• Proficient in SQL and scripting languages like Python.

Responsibilities

• Modernize data operations using AWS, Python, and Snowflake.
• Implement generative AI pipelines and ensure data quality.

Skills

Data Engineering

SQL

Python

AWS

ETL Tools

Machine Learning

Data Governance

DevOps

Education

Bachelor's degree in Computer Science

Degree in Data Engineering

Tools

Snowflake

Informatica

Tableau

Business Objects

Job description

Sr. Staff Data Engineer - GenAI (Tech Lead) - Hybrid

We’re committed to making a difference and are proud to be an insurance company that goes beyond coverages and policies. Working here offers opportunities to achieve your goals and help others do the same. Join us as we shape the future.

Data, AI and Analytics Office (DAO) - Customer Data Ecosystem Operations Business Intelligence - seeks an experienced Sr. Staff Data Engineer/Technical Lead with GenAI expertise. As a Tech Lead, you will guide the team in developing Data Domains and Data Products, analyzing, and visualizing large datasets to generate insights across multiple platforms. Your responsibilities include developing Proof of Concepts (PoCs), frameworks, and real-time pipelines using SQL, AWS, ETL tools, Snowflake, and Python, with an emphasis on automation via CI/CD methodologies. You will also have opportunities to work on Machine Learning and AI initiatives.

This role requires a hybrid work schedule, with in-office presence (Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NC) three days a week (Tuesday-Thursday).

Responsibilities:

1. Modernize and execute the transformation roadmap for the Enterprise Business Operations Billing Team, leveraging AWS, Python, and Snowflake, addressing legacy tech challenges, data freshness, and quality.
2. Integrate and aggregate complex data from diverse sources to improve customer access and foster a data-driven culture.
3. Implement end-to-end generative AI pipelines, from data ingestion to deployment and monitoring.
4. Develop and optimize RAG architectures, agentic workflows, and unstructured data processing.
5. Ensure data governance, security, and quality are incorporated into all data management practices.
6. Develop and deploy analytical solutions using machine learning technologies.
7. Support migration of reporting assets from legacy systems to Snowflake.
8. Collaborate with Enterprise Data teams for UAT, data quality, and toolset enhancement.
9. Maintain data analytics tools and frameworks supporting AI/ML use cases.
10. Stay current with emerging data technologies and industry best practices, exploring new tools as needed.
11. Drive multiple projects independently, demonstrating confidence and initiative.

Qualifications:

• Authorized to work in the US without sponsorship; no STEM OPT I-983 endorsement supported.
• Bachelor’s degree in Computer Science, Data Engineering, or related field.
• At least 2 years of experience as a Data Engineer with strong analytical and data manipulation skills.
• Experience with ETL tools (Informatica, IDMC, etc.), cloud platforms (AWS, Azure), and SQL (Oracle, SQL Server, Snowflake).
• Proficiency in scripting/programming languages like Python or JavaScript.
• Experience with test automation, DevOps tools, and Agile methodologies.
• Ability to work with cross-functional teams and mentoring junior engineers in GenAI best practices.

Nice to Have:

• Experience with reporting tools such as Tableau, Business Objects, MicroStrategy.
• Knowledge of insurance and financial services domains.
• Familiarity with AWS services like CodeBuild, CodePipeline, and Containers.
• Understanding of AI, ML, and data science practices.

Compensation:

The annual base pay range is $135,040 - $202,560, based on market analysis and individual factors such as performance and competencies. Compensation may include bonuses, incentives, and recognition awards.

We are an Equal Opportunity Employer supporting diversity and inclusion in the workplace.