Sr. Staff Data Engineer - GenAI (Tech Lead)

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

Job summary

Join a leading insurance company where you will become a Sr. Staff Data Engineer in the Data, AI, and Analytics Office. This role involves leading the development of data solutions, working with cutting-edge technology like AWS and Python to implement AI initiatives and improve data systems. Candidates need a bachelor's degree and at least two years of data engineering experience, with a competitive salary range reflecting the skills and expertise required.

Benefits

Short-term or annual bonuses

Long-term incentives

On-the-spot recognition

Qualifications

• Minimum 2 years experience as a Data Engineer required.
• Strong track record in qualitative and quantitative analysis.
• Familiarity with Agile Scrum/SAFE methodology preferred.

Responsibilities

• Lead team in developing data domains and data products.
• Implement end-to-end generative AI pipelines.
• Integrate complex data from various sources.

Skills

Data manipulation

Analytical skills

Quantitative skills

Education

Bachelor’s degree in computer science, Data Engineering, or related field

Tools

AWS

Snowflake

ETL tools

SQL

Python

Job description

Sr. Staff Data Engineer - GenAI (Tech Lead)

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.

Data, AI and Analytics Office (DAO) - Customer Data Ecosystem Operations Business Intelligence - is looking for a seasoned Sr. Staff Data Engineer/Technical Lead with GenAI experience to join the team. As a Tech Lead, you will work on leading the team in the development of Data Domains, Data Products along with analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will develop and implement Proof of Concepts (PoCs), generic frameworks, and real-time pipelines using SQL, Amazon Web Services (AWS), ETL tools, Snowflake, and Python. You will use automation of software application development using Continuous Integration/Continuous Delivery (CI/CD) methodologies. Additionally, you will get opportunities to work on Machine learning & Artificial Intelligence initiatives.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.

Responsibilities:

• Modernize and implement the transformation roadmap for Enterprise Business Operations Billing Team using a new data reference architecture leveraging AWS cloud, Python and Snowflake. Transformation will focus on addressing challenges across legacy tech stack, data freshness issues, speed of deliver and quality.
• Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture.
• Implement end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
• Develop and optimize RAG architectures and pipelines, Agentic Workflows and unstructured data processing
• Incorporate core data management competencies, including data governance, data security, and data quality.
• Develop and deploy analytical solutions leveraging machine learning technologies.
• Develop and support the migration activities of reporting assets from legacy sources to Snowflake.
• Collaborate with the Enterprise Data teams to provide user acceptance testing, maintain data quality, and advance the technical toolset.
• Develop and maintain data analytics tools and frameworks to support Artificial Intelligence & Machine Learning use cases.
• Stay up to date with emerging data technologies and industry best practices.
  Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs.
• Confident, self-starter capable of independently driving multiple concurrent projects to completion.

Qualifications:

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

• Bachelor’s degree in computer science, Data Engineering, or a related field
• Minimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skills
• Experience with ETL tools (Informatica, IDMC etc.)
• Unit, interface and end user testing concepts and tooling (functional & non-functional)
• Knowledge on any Cloud tech stack AWS, Azure etc.
• Advanced knowledge of SQL as it pertains to data, analytics, and reporting on any relational database Oracle, SQL Server, Snowflake etc.
• Experience with Test automation & DevOps tools
• Knowledge of Agile Scrum/SAFE methodology
• Effectively use collaboration tools like Rally, Jira etc.
• Implement end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
• Develop complex AI systems, adhering to best practices in software engineering and AI development.
• Work with cross-functional teams to integrate GenAI solutions into existing products and services.
• Keep up-to-date with GenAI advancements and apply new technologies and methodologies to our systems.
• Implement and optimize RAG architectures and pipelines.
• Develop solutions for handling unstructured data in AI pipelines.
• Implement agentic workflows for autonomous AI systems.
• Develop graph database solutions for complex data relationships in AI systems.
• Integrate AI pipelines with Snowflake data warehouse for efficient data processing and storage.
• Apply GenAI solutions to insurance-specific use cases and challenges.

Nice to Have:

• Experience with any of the reporting tools –Tableau, Business Objects, Micro-Strategy
• Insurance & Financial services domain knowledge
• Knowledge of AWS cloud technology – Code Build, Code Pipeline, Containers
• Awareness of AI, ML, Data science practice

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. 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. The annualized base pay range for this role is:

$135,040 - $202,560

Sr Staff Data Engineer - GE07DE

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.

Data, AI and Analytics Office (DAO) - Customer Data Ecosystem Operations Business Intelligence - is looking for a seasoned Sr. Staff Data Engineer/Technical Lead with GenAI experience to join the team. As a Tech Lead, you will work on leading the team in the development of Data Domains, Data Products along with analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will develop and implement Proof of Concepts (PoCs), generic frameworks, and real-time pipelines using SQL, Amazon Web Services (AWS), ETL tools, Snowflake, and Python. You will use automation of software application development using Continuous Integration/Continuous Delivery (CI/CD) methodologies. Additionally, you will get opportunities to work on Machine learning & Artificial Intelligence initiatives.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.

Responsibilities:

• Modernize and implement the transformation roadmap for Enterprise Business Operations Billing Team using a new data reference architecture leveraging AWS cloud, Python and Snowflake. Transformation will focus on addressing challenges across legacy tech stack, data freshness issues, speed of deliver and quality.
• Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture.
• Implement end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
• Develop and optimize RAG architectures and pipelines, Agentic Workflows and unstructured data processing
• Incorporate core data management competencies, including data governance, data security, and data quality.
• Develop and deploy analytical solutions leveraging machine learning technologies.
• Develop and support the migration activities of reporting assets from legacy sources to Snowflake.
• Collaborate with the Enterprise Data teams to provide user acceptance testing, maintain data quality, and advance the technical toolset.
• Develop and maintain data analytics tools and frameworks to support Artificial Intelligence & Machine Learning use cases.
• Stay up to date with emerging data technologies and industry best practices.
  Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs.
• Confident, self-starter capable of independently driving multiple concurrent projects to completion.

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

• Bachelor’s degree in computer science, Data Engineering, or a related field
• Minimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skills
• Experience with ETL tools (Informatica, IDMC etc.)
• Unit, interface and end user testing concepts and tooling (functional & non-functional)
• Knowledge on any Cloud tech stack AWS, Azure etc.
• Advanced knowledge of SQL as it pertains to data, analytics, and reporting on any relational database Oracle, SQL Server, Snowflake etc.
• Experience with any scripting or programing language – Python, JavaScript etc.
• Experience with Test automation & DevOps tools
• Knowledge of Agile Scrum/SAFE methodology
• Effectively use collaboration tools like Rally, Jira etc.
• Implement end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
• Develop complex AI systems, adhering to best practices in software engineering and AI development.
• Work with cross-functional teams to integrate GenAI solutions into existing products and services.
• Keep up-to-date with GenAI advancements and apply new technologies and methodologies to our systems.
• Assist in mentoring junior AI/data engineers in GenAI development best practices.
• Implement and optimize RAG architectures and pipelines.
• Develop solutions for handling unstructured data in AI pipelines.
• Implement agentic workflows for autonomous AI systems.
• Develop graph database solutions for complex data relationships in AI systems.
• Integrate AI pipelines with Snowflake data warehouse for efficient data processing and storage.
• Apply GenAI solutions to insurance-specific use cases and challenges.

Nice to Have:

• Experience with any of the reporting tools –Tableau, Business Objects, Micro-Strategy
• Insurance & Financial services domain knowledge
• Knowledge of AWS cloud technology – Code Build, Code Pipeline, Containers
• Awareness of AI, ML, Data science practice

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. 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. The annualized base pay range for this role is:

$135,040 - $202,560

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

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

The Hartford Financial Services Group, Inc., usually known as The Hartford, is a United States-based investment and insurance company.

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