Senior Data Engineer

Lifespark is a complete senior health company headquartered in St. Louis Park, Minnesota. Since 2004, we’ve been helping seniors stay healthy, navigate their health care options with confidence, and live fuller, more independent lives as they age. That’s where our people come in – from accounting and health technology to front-line nurses, advanced practice professionals, caregivers and everything in between, we are all invested entrepreneurs focused on helping people age magnificently.

Our Lifespark culture has created not only an award-winning workplace — earning Star Tribune Top Workplace 11 times, Minneapolis Business Journal Best Places to Work three times, and Top USA #1 in Healthcare — but a place where you have the room to be creative, make a difference, and have a purposeful, direct impact on how people age. Lifespark’s full continuum of services offers a breadth of roles with the support to grow your career. To see the experience we are creating, watch our award-winning video Going South – this is the experience you will help create at Lifespark! Changing the age-old story starts with you – let’s get you hired.

 

Position: Senior Data Engineer 

Wage Range: $140,000K+ annually, depending on experience 

Service Area: Remote (occasional visits to the office for meetings, 6-12 times/year) - candidate must be Minnesota based

Schedule: Full-time, 1.0 FTE, Monday – Friday 8:00am-5:00pm

 

Lifespark Benefits Include:     

• Annual Reviews/Raises {Shift differentials if applicable} 
• Paid Time Off – Vacation Time 
• Mileage reimbursement
• Medical, Dental, Vision benefits for Full Time Hires 
• Short-Term Disability & Long-Term Disability Insurance 
• Life Insurances 
• 401k + Company Match for full-time and part-time employees 
• Referral bonuses 
• Career path to other positions within our growing company! 

 

As a Senior Data Engineer at Lifespark, you will provide leadership across our data engineering team and drive solutions that support our overall analytics efforts. With your expertise, we will use data insights to support Lifespark Complete, our unique approach to holistic senior health. In partnership with Director of Data and Analytics, you will help define our strategies around data governance, security, and analytics. You will bring your passion for how data can transform lives. This hands-on role will require the development of solid processes around ETL, data cleanliness, data wrangling as well as thorough knowledge around SQL, Python and other data-oriented languages.  We are users of dbt, Dagster, and Snowflake, and are biased towards building data products using software engineering best practices. We hope you’re eager to dive in!

Come use your superpowers for good and join us in Sparking Lives.  

 

Position Functions & Responsibilities:

• Lead the design, development, and maintenance of scalable data pipelines and ETL processes to support data integration, interoperability and analytics.
• Collaborate with data engineers, data scientists, analysts, vendors and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize and improve existing data infrastructure for performance, reliability, and scalability.
• Implement data quality and validation processes to ensure data accuracy and consistency.
• Develop and maintain documentation for data engineering processes and systems.
• Stay up-to-date with the latest industry trends and technologies in data engineering and analytics.
• Build and manage APIs to ensure that data exchanged is available and reliable between disparate systems and is reflected accurately in our foundational data repositories.
• Work as part of our agile engineering team, cranking through stories and providing value.
• Maintain and build infrastructure in our cloud environment to support ongoing technological changes and development requirements.

 

Qualifications:

• Over 5 years of professional experience as a software developer, preferably in a data engineering role
• At least 3 years of experience with SQL, Python and data orchestration
• Proficiency in working with ETL data pipeline and workflow management tools such as Dagster and Snowpipes
• Experience with cloud platforms like AWS, Google Cloud, or Azure and big data technologies.