Data Engineer

Responsibilities

• Design, build and optimize data pipelines and transformations enabling Artificial Intelligence, advanced analytics, and other enterprise use cases
• Research, recommend, implement, and drive changes to evolve architecture and patterns to meet quickly changing data requirements
• Collaborate with product managers, data scientists, machine learning engineers, technology teams and other stakeholders to understand requirements, prioritize tasks, and deliver data solutions that excite stakeholders and deliver business value
• Mentor and consult with team members and other areas to ensure best practices and optimal data solutions are implemented
• Leverage data governance and data security tooling, processes, and principles to ensure data is secure, easy to find, trusted, and accessible
• Devise technical solutions to drive business outcomes based on an understanding of customers, business processes and technical requirements

Preferred

• Cloud knowledge and experience – AWS and Snowflake preferred
• Programming experience - Python or Java preferred
• AI Concepts
• Data Analysis
• Data Engineering
• Data Pipelines
• Growth Mindset
• Python (Programming Language)
• Snowflake (Platform)
• Structured Query Language (SQL)

Benefits

• Flexible PTO, with additional PTO the longer you stay at Securian.
• Flexible leave programs for parental leave, caregiver leave for family members, bereavement, and military leave.
• Nine company-paid holidays.
• Company-funded pension plan.
• 401(k) company contribution tied to company performance, up to 10 percent of eligible earnings, with a target of 5 percent.
• From the first day of employment, associates and eligible family members—including spouses, domestic partners, and children—are eligible for medical, dental, and vision coverage.
• Company-sponsored volunteer events, volunteer paid time off, and a dollar-for-dollar matching gift program.
• Associate Resource Groups: associate-led groups to build connections and develop relationships at work.
• Hybrid working arrangement: work in-office a minimum of 3 days a week; associates within a commutable distance (90 minutes) join the office 3 days each week, with flexibility for business and personal schedules.
• Glassdoor
• 3.4
• To be confident in your financial future, you need to trust the strength and commitment of your financial organization.
• Saint Paul, Minnesota, USA
• https://www.securian.com/
• Late Stage
• Leadership Team
• Christopher Hilger
• Chairman, President and Chief Executive Officer
• Darrin Hebert
• SVP & Chief Information Officer
• Recent News
• Morningstar.com
• Securian Financial Increases Individual Life Retention to $10 Million, Strengthening Support for High-Net-Worth Life Insurance Market
• 2026-08-17
• Coverager - Insurance news and insights
• VIVA Finance adds embedded loan protection from Securian
• 2026-06-03
• Business Wire
• Pradip Patiath Joins Securian Financial Board of Directors
• Company data provided by

Qualifications

• 4 year degree in Computer Science, related field, or equivalent industry experience
• 2+ years of hands-on, professional experience working in Data Engineering
• Experience with tools and concepts related to data and analytics, such as ETL, data storage options, data quality, working with structured and unstructured data
• ANSI SQL Skills/Experience
• Strong problem solving and analytical abilities
• Solid communication skills
• Curiosity and willingness to learn
• Flexibly and adaptability
• Cloud knowledge and experience – AWS and Snowflake preferred
• Programming experience - Python or Java preferred
• AI Concepts
• Data Analysis
• Data Engineering
• Data Pipelines
• Growth Mindset
• Python (Programming Language)
• Snowflake (Platform)
• Structured Query Language (SQL)
• 2+ years of hands-on, professional experience working in Data Engineering.

Required skills

• ANSI SQL, AWS, Artificial Intelligence, Data Engineering, Data Pipelines, Data Quality, ETL, Java, Python, Snowflake, Structured and Unstructured Data

Preferred skills

• AI Concepts, Cloud knowledge and experience – AWS and Snowflake preferred, Data Analysis, Data Engineering, Data Pipelines, Growth Mindset, Programming experience - Python or Java preferred, Python (Programming Language), Snowflake (Platform), Structured Query Language (SQL)

Experience

• 2+ years