Pay
In line with similar jobs
$150K–$185K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Staff Data Engineer
Hartford, CT
Open 4 months, first seen by us 146 days ago- Pay
$149,568–184,920/year · Base — pay source
Qualifications: Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field of study and 5 years of experience in a software development or data engineering-related occupation. In addition, position requires 5 years of experience in each of the following: Programming; SDLC practices; Distributed systems; Data warehousing solutions, including SQL and NoSQL; and ETL tools; AND 3 years of experience in each of the following: CICD; Bigdata; Cloud Technologies, including AWS and Azure; Python or Spark; Datamesh; Datalake; Snowflake; AWS; Developing and operating production workloads in cloud infrastructure; and Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets Salary Range: $149,568.00 to $184,920.00 per year. Contact: Apply online at https://thehartford.wd5.myworkdayjobs.com/Careers_Restricted/job/Hartford-CT/Sr-Staff-Data-Engineer_R2625806
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: $149,568 to $184,920 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead end-to-end delivery of large-scale data products across multiple platforms
Build ELT solutions to acquire, integrate, and operationalize data
Own physical solution designs for pipelines and data products across teams
Evaluate open source tools and frameworks and recommend technology choices
Explain risks and tradeoffs of technology solutions to senior and business leaders
From the employer’s posting
Drive End-to-End solution delivery involving multiple platforms and technologies
leveraging ELT solutions to acquire, integrate, and operationalize data
Maintain accountability for data pipeline and product physical solution designs across teams
Evaluate and assess open source tools and frameworks.
Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 146 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 11, 2026146 days ago
- Recorded sightings
- 307
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 146
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
The Hartford is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Hadoop
- Kafka
- NoSQL
- Snowflake
- Spark
Where the posting names them
Summary of Duties: Serve as the subject matter expert and/or technical lead for large scale data products. Drive End-to-End solution delivery involving multiple platforms and technologies with medium-to-large complexity or oversee certain parts of very large complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture while safeguarding the integrity and scalability of the environment. Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders. Maintain accountability for data pipeline and product physical solution designs across teams as well as tool recommendations. Evaluate and assess open source tools and frameworks. Maintain accountability for Data Engineering Practices across all involved teams. Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. Regularly conduct market research to maintain understanding and awareness of emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence all technology-based decisions for tools and frameworks for effective delivery. Telecommuting available. Qualifications: Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field of study and 5 years of experience in a software development or data engineering-related occupation. In addition, position requires 5 years of experience in each of the following: Programming; SDLC practices; Distributed systems; Data warehousing solutions, including SQL and NoSQL; and ETL tools; AND 3 years of experience in each of the following: CICD; Bigdata; Cloud Technologies, including AWS and Azure; Python or Spark; Datamesh; Datalake; Snowflake; AWS; Developing and operating production workloads in cloud infrastructure; and Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets Salary Range: $149,568.00 to $184,920.00 per year.
Hartford Fire Insurance Company in Hartford, CT has the following opening for a Sr. Staff Data Engineer. Summary of Duties: Serve as the subject matter expert and/or technical lead for large scale data products. Drive End-to-End solution delivery involving multiple platforms and technologies with medium-to-large complexity or oversee certain parts of very large complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture while safeguarding the integrity and scalability of the environment. Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders. Maintain accountability for data pipeline and product physical solution designs across teams as well as tool recommendations. Evaluate and assess open source tools and frameworks. Maintain accountability for Data Engineering Practices across all involved teams. Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. Regularly conduct market research to maintain understanding and awareness of emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence all technology-based decisions for tools and frameworks for effective delivery. Telecommuting available. Qualifications: Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field of study and 5 years of experience in a software development or data engineering-related occupation. In addition, position requires 5 years of experience in each of the following: Programming; SDLC practices; Distributed systems; Data warehousing solutions, including SQL and NoSQL; and ETL tools; AND 3 years of experience in each of the following: CICD; Bigdata; Cloud Technologies, including AWS and Azure; Python or Spark; Datamesh; Datalake; Snowflake; AWS; Developing and operating production workloads in cloud infrastructure; and Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets
Your next step
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Hartford Fire Insurance Company in Hartford, CT has the following opening for a Sr. Staff Data Engineer.
Summary of Duties: Serve as the subject matter expert and/or technical lead for large scale data products. Drive End-to-End solution delivery involving multiple platforms and technologies with medium-to-large complexity or oversee certain parts of very large complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture while safeguarding the integrity and scalability of the environment. Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders. Maintain accountability for data pipeline and product physical solution designs across teams as well as tool recommendations. Evaluate and assess open source tools and frameworks. Maintain accountability for Data Engineering Practices across all involved teams. Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. Regularly conduct market research to maintain understanding and awareness of emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence all technology-based decisions for tools and frameworks for effective delivery. Telecommuting available.
Qualifications: Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field of study and 5 years of experience in a software development or data engineering-related occupation. In addition, position requires 5 years of experience in each of the following: Programming; SDLC practices; Distributed systems; Data warehousing solutions, including SQL and NoSQL; and ETL tools; AND 3 years of experience in each of the following: CICD; Bigdata; Cloud Technologies, including AWS and Azure; Python or Spark; Datamesh; Datalake; Snowflake; AWS; Developing and operating production workloads in cloud infrastructure; and Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets
Salary Range: $149,568.00 to $184,920.00 per year.
Contact: Apply online at https://thehartford.wd5.myworkdayjobs.com/Careers_Restricted/job/Hartford-CT/Sr-Staff-Data-Engineer_R2625806
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:
$149,568 to $184,920Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Qualifications: Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field of study and 5 years of experience in a software development or data engineering-related occupation. In addition, position requires 5 years of experience in each of the following: Programming; SDLC practices; Distributed systems; Data warehousing solutions, including SQL and NoSQL; and ETL tools; AND 3 years of experience in each of the following: CICD; Bigdata; Cloud Technologies, including AWS and Azure; Python or Spark; Datamesh; Datalake; Snowflake; AWS; Developing and operating production workloads in cloud infrastructure; and Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets Salary Range: $149,568.00 to $184,920.00 per year. Contact: Apply online at https://thehartford.wd5.myworkdayjobs.com/Careers_Restricted/job/Hartford-CT/Sr-Staff-Data-Engineer_R2625806
More source context
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: $149,568 to $184,920 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
- Location & working pattern
Hartford, CT
This passage needs a closer read in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.