Senior Data Engineer

Indianapolis, IN, United States

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Pay Philosophy

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description

  • Responsible for analysis, development, and execution of data solutions, in order to manage the information lifecycle needs of an organization.
  • Designs and develops programs and tools to support ingestion, curation, and provisioning of complex enterprise data to achieve analytics, reporting, and data science.
  • Identifies process improvements that address complex technology gaps within a single business process.
  • Builds strong knowledge of technology enablers.
  • Analyzes and prepares complex technology enabled recommendations to address gaps within a single business process.
  • Provides successful deployment and provisioning of data solutions to production or other required environments.
  • Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs and builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data.
  • Telecommuting permitted up to 60%.

Qualifications

Employer will accept a bachelor’s degree (or foreign equivalent) in Electronics Engineering or a related field and 5 years of experience in the job offered or in a Senior Data Engineer-related occupation. Position requires demonstrable experience with each of the following:

  • Working knowledge of AWS, Snowflake, Informatica, SQL.
  • Designing and building data pipelines.
  • Designing and building data provisioning workflows.
  • Data ingestion, curation & provisioning.
  • Data extracts & transformations.
  • Data Integration.
  • Data reliability & quality.
  • SQL Development.
  • Telecommuting permitted up to 60%

REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2025-70378 in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.

About Us

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.  

 

At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.  

 

We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.  

 

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits  Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.  Fair Chance Notices 

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS Data management Data pipelines Engineering Informatica Pipelines Snowflake SQL

Perks/benefits: Career development Competitive pay Salary bonus

Region: North America
Country: United States

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