The Hartford
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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.
Senior Data Engineer The Hartford's Data Science Organization is seeking a Senior Data Engineer - Developer to directly support its patented NLP data asset. The Senior Data Engineer will source unstructured data from a variety of disparate sources and formats into its core NLP asset to support predictive models and operational processes.
Job Responsibilities
Design, develop, and implement complex ETL/ELT processes using data integration tools and programming languages Python and SQL.
Build and optimize data pipelines from diverse sources, including relational databases, NoSQL databases, APIs, and streaming 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 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 continuous improvement of data engineering practices.
Evaluate and recommend new data technologies and tools to enhance platform capabilities.
Ensure compliance with data privacy regulations and company security policies.
Job Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (Master's preferred).
3+ years of experience in data engineering or 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; knowledge of JavaScript is a plus.
Experience with Python packages FastAPI, SpaCy, Pydantic, DuckDB.
Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and services (e.g., S3, Redshift, Snowflake, Databricks).
Solid understanding of data warehousing concepts, data 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 an agile environment.
Experience in insurance or financial services industry is a plus.
Work Schedule & Location This role will have a hybrid schedule, with the expectation of working in an office 3 days a week (Tuesday through Thursday) at one of the following locations: Columbus, OH; Chicago, IL; Hartford, CT; Charlotte, NC.
Candidates must be authorized to work in the US without company sponsorship.
Compensation The base pay is part of a total compensation package that may include bonuses and incentives. The posted salary range is provided for reference; actual pay may vary based on performance and experience.
Equal Opportunity Employer Sex, Race, Color, Veterans, Disability, Sexual Orientation, Gender Identity or Expression, Religion, Age.
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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.
Senior Data Engineer The Hartford's Data Science Organization is seeking a Senior Data Engineer - Developer to directly support its patented NLP data asset. The Senior Data Engineer will source unstructured data from a variety of disparate sources and formats into its core NLP asset to support predictive models and operational processes.
Job Responsibilities
Design, develop, and implement complex ETL/ELT processes using data integration tools and programming languages Python and SQL.
Build and optimize data pipelines from diverse sources, including relational databases, NoSQL databases, APIs, and streaming 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 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 continuous improvement of data engineering practices.
Evaluate and recommend new data technologies and tools to enhance platform capabilities.
Ensure compliance with data privacy regulations and company security policies.
Job Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (Master's preferred).
3+ years of experience in data engineering or 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; knowledge of JavaScript is a plus.
Experience with Python packages FastAPI, SpaCy, Pydantic, DuckDB.
Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and services (e.g., S3, Redshift, Snowflake, Databricks).
Solid understanding of data warehousing concepts, data 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 an agile environment.
Experience in insurance or financial services industry is a plus.
Work Schedule & Location This role will have a hybrid schedule, with the expectation of working in an office 3 days a week (Tuesday through Thursday) at one of the following locations: Columbus, OH; Chicago, IL; Hartford, CT; Charlotte, NC.
Candidates must be authorized to work in the US without company sponsorship.
Compensation The base pay is part of a total compensation package that may include bonuses and incentives. The posted salary range is provided for reference; actual pay may vary based on performance and experience.
Equal Opportunity Employer Sex, Race, Color, Veterans, Disability, Sexual Orientation, Gender Identity or Expression, Religion, Age.
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