The Associate Data Engineer will develop and maintain data solutions, assist in data analysis, and improve data quality and efficiency.
Description
Under direct supervision, responsible for the analysis, development, and execution of data solutions of low to moderate complexity that assists with the information lifecycle needs of an organization. Assists with collecting, integrating, and analyzing organizational data with the purpose of drawing conclusions from that information. Develops, constructs, tests, and maintains data architectures for data platform, database, analytical/reporting, or data science systems. Recognizes opportunities to improve data reliability, quality, and efficiency and may make recommendations where appropriate.
Responsibilities
Designs and develops low complexity programs and tools to support ingestion, curation and provisioning of enterprise data to achieve analytics or reporting. Builds and designs data models and data architecture that improve accessibility, efficiency, governance and quality of data. Recognizes opportunities to improve data quality. Assists with aspects of deployment of data solutions. Helps identify possible process improvements that address technology gaps within a single business process of low to moderate complexity. Analyzes and prepare low to moderately complex technology enabled recommendations to address gaps within a single business process. Performs other projects and duties as assigned.
Qualifications
About Us
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.
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 dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.
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
USD $74000.00 - $139000.00
Under direct supervision, responsible for the analysis, development, and execution of data solutions of low to moderate complexity that assists with the information lifecycle needs of an organization. Assists with collecting, integrating, and analyzing organizational data with the purpose of drawing conclusions from that information. Develops, constructs, tests, and maintains data architectures for data platform, database, analytical/reporting, or data science systems. Recognizes opportunities to improve data reliability, quality, and efficiency and may make recommendations where appropriate.
Responsibilities
Designs and develops low complexity programs and tools to support ingestion, curation and provisioning of enterprise data to achieve analytics or reporting. Builds and designs data models and data architecture that improve accessibility, efficiency, governance and quality of data. Recognizes opportunities to improve data quality. Assists with aspects of deployment of data solutions. Helps identify possible process improvements that address technology gaps within a single business process of low to moderate complexity. Analyzes and prepare low to moderately complex technology enabled recommendations to address gaps within a single business process. Performs other projects and duties as assigned.
Qualifications
- Bachelor`s degree in technical or business discipline or equivalent experience
- Generally, 1+ years of professional experience
- General knowledge in new and emerging technologies
- Negotiation skills; oral and written communication skills
- General knowledge of the following: IT concepts, strategies and methodologies
- IT architectures and technical standards
- General knowledge of a business function(s) and business operations
- Design and development tools
- General knowledge of layered systems architectures
- General understanding of shared data engineering concepts
- General knowledge of architectures and technical standards
- General knowledge of agile data engineering concepts and processes Must be proactive, demonstrate initiative and be a logical thinker
- Consultative skills, including the ability to understand and assist in applying customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
- Collaboration, prioritization, and adaptability skills required
About Us
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.
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 dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.
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
USD $74000.00 - $139000.00
Top Skills
Analytical/Reporting
Data Architectures
Data Platform
Data Science Systems
Database
Design And Development Tools
Similar Jobs at Liberty Mutual Insurance
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Associate Data Engineer assists in developing and executing data solutions, improving data quality, and analyzing data architectures under supervision.
Top Skills:
Data AnalysisData ArchitectureData IntegrationData Models
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Associate Data Engineer assists in developing and executing data solutions, improving data quality, and analyzing data architectures under supervision.
Top Skills:
Data AnalysisData ArchitectureData IntegrationData Models
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Lead the Small Commercial underwriting transformation by managing Product Owners and aligning technology with business strategies to achieve profit goals and improve customer journeys.
Top Skills:
Agile Development Methodologies
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus