Data Engineer

Securian Financial

. Design, build, and optimize data pipelines and transformations for artificial intelligence, advanced analytics, and enterprise use cases .

Posted 9/30/2026full-timeSaint Paul • Minnesota • United StatesJuniorMid-Level💰 $72,000 - $134,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines for artificial intelligence and advanced analytics, with a strong foundation in data governance and security principles. Proficient in collaborating with cross-functional teams to deliver effective data solutions while mentoring others on best practices.

Highest-signal resume keywords

Data Engineering ExperienceETL ProcessesANSI SQL ProficiencyCloud Experience (AWS, Snowflake)Programming in Python or Java

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationETLData QualityStructured DataUnstructured DataANSI SQLPythonJava

Soft Skills

Problem-SolvingAnalytical AbilitiesCommunicationCuriosityFlexibility

Tools & Technologies

AWSSnowflake

Industry Keywords

Data GovernanceData SecurityData SolutionsArchitectural ChangesData Patterns

Tech Stack

Tools & technologies

AWSCloudETLJavaPythonSQL

About the role

Key responsibilities & impact

Design, build, and optimize data pipelines and transformations for artificial intelligence, advanced analytics, and enterprise use cases
Research, recommend, implement, and drive architectural and data-pattern changes
Collaborate with product managers, data scientists, machine learning engineers, technology teams, and stakeholders to understand requirements and deliver data solutions
Mentor and consult with team members and other areas on best practices and optimal data solutions
Apply data governance and security tooling, processes, and principles
Devise technical solutions based on customer, business-process, and technical requirements

Requirements

What you’ll need

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 ETL, data storage options, data quality, and structured and unstructured data
ANSI SQL skills/experience
Cloud knowledge and experience; AWS and Snowflake preferred
Programming experience in Python or Java preferred
Strong problem-solving and analytical abilities
Solid communication skills
Curiosity and willingness to learn
Flexibility and adaptability

Benefits

Comp & perks

Paid time off, with additional PTO based on tenure
Parental, caregiver, bereavement, and military leave
Nine company-paid holidays
Company-funded pension plan
401(k) retirement plan with company contributions up to 10% of eligible earnings, with a 5% target
Medical, dental, and vision coverage from the first day of employment for associates and eligible family members
Volunteer paid time off
Dollar-for-dollar matching gift program
Associate Resource Groups
Hybrid work arrangement with virtual and office work flexibility