Experienced Data Engineer - Enterprise Data and Analytics, Workforce Data

at  Principal Financial Group

What You’ll Do:

We’re looking for an Experienced Data Engineer to join our Enterprise Data & Analytics department. In this role, you’ll be a part of the Workforce Data Team and help bring modern engineering capabilities to drive enterprise strategy across the business!

• Own technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data.
• Work directly or in support of data science/analytics to design, develop, test and integrate data from various source systems into large-scale, easily consumable data platforms used for providing insights that promotes business growth and efficiency.
• Build data solution designs, models and infrastructure by applying architectural patterns and principles, data governance and security, researching new technologies and approaches, understanding requirements, all phases of testing, debugging, documenting, quality assurance practices, implementation and maintenance.
• Demonstrate knowledge of industry trends, create optimized data components and systems that use appropriate development environment. Employ technology (i.e., scripting languages, data movement tools) for efficient system integration.
• Recommend ways to improve data reliability, efficiency and quality.

Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.
As Principal continues to modernize its systems, this role will offer you an exciting opportunity to build solutions that will directly impact our long-term strategy and tech stack, all while ensuring that our products are robust, scalable, and secure!

Who You Are:

• Bachelor’s degree plus 2 + years related work experience or a Master’s in a related field.
• Experience building/operating systems for data extraction, ingestion and processing of large data sets.
• Experience with relational database concepts and table structures and are proficient in writing queries using SQL.
• Experience building data products incrementally and integrating and managing datasets from multiple sources.
• Ability to work directly with data and datastores through programming language such as SQL, Python, Java, etc.
• Skilled in collaborating with a variety of partners, including external consultants and vendors.
• Ability to effectively communicate strategies and designs to all levels of the company.

SKILLS THAT WILL HELP YOU STAND OUT

• Cloud technologies (i.e, AWS, CD/CI pipelines)
• Snowflake
• Python scripting
• Data warehouse experience
• Experience supporting HR Systems such as ICIMS, Oracle human Capital Management, Peoplesoft or other similar environments
• Data Security
• Test automation
  Salary Range Information: Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salary Range: $63750 - $147600 / year Time Off Program: Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don’t accrue a bank of time off under FTO and there is no set number of days provided. Pension Eligible: Yes Additional Information:

EXPERIENCE PRINCIPAL

While our expertise spans the globe, we’re bound by one common purpose: to foster a world where financial security is accessible to all. And our success depends on the unique experiences, backgrounds, and talents of our employees – individually and all of us together. Explore our core values, benefits and why we’re an exceptional place to grow your career.

• Own technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data.
• Work directly or in support of data science/analytics to design, develop, test and integrate data from various source systems into large-scale, easily consumable data platforms used for providing insights that promotes business growth and efficiency.
• Build data solution designs, models and infrastructure by applying architectural patterns and principles, data governance and security, researching new technologies and approaches, understanding requirements, all phases of testing, debugging, documenting, quality assurance practices, implementation and maintenance.
• Demonstrate knowledge of industry trends, create optimized data components and systems that use appropriate development environment. Employ technology (i.e., scripting languages, data movement tools) for efficient system integration.
• Recommend ways to improve data reliability, efficiency and quality