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Data Engineer (ETL) 

About the Organization MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.

MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to for more about diversity, equity, and inclusion at MOBE.  


MOBE guides people to better health and more happiness. Behind our innovative health solutions is uniquely human philosophy. We believe that person-to-person connections and understanding can make a difference in a world where self-care can be complicated, and health care is ever-evolving and complex.

MOBE works with health plans and large employers to identify individuals who are frequent users of health care but aren't finding resolutions for their underlying health issues. We use a whole-person approach and guidance to impact health outcomes positively.

Supporting people is at the core of our business, employees included. MOBE is a high-growth organization with a culture built on trust and collaboration. Consistent across our teams and offerings is a belief in the power of people doing good together. We genuinely care about people and consider our workforce the most significant asset.

Your Role at MOBE

This is an exciting time at MOBE and we are growing fast. At MOBE, we have a lot of data: eligibility, medical and pharmacy claims, marketing campaign impressions, transcripts from participant interactions, etc.

This position is responsible for providing technical and project expertise to enable MOBE analytics and operations with structured and unstructured data. Responsibilities includes executing and/or leading user story development, data design and architecture, data pipeline development, testing and deployment in the Analytic Data Framework. This role will partner with internal and external business and technology teams to drive project deliverables and ensure high quality delivery of data architecture and integration.


The Data Engineer ensures the following capabilities and functions:

  • Translate high level business processes into logical data processing steps
  • Design data structures and pipelines that are flexible and scalable for MOBE analytics and operational requirements
  • Support Analytic partners through collaborative and transparent development, information delivery, problem resolution, shared insights, and training
  • Data processing definition, execution, and documentation, in a time appropriate way, to meet business priorities and requirements
  • Data quality and maintenance consistent within the Analytic Data Framework
  • Lead small to moderate sized projects and initiatives, following through on execution of chosen strategies and demonstrating the ability to work through obstacles and changing priorities.
  • Demonstrate ability and willingness to play multiple roles for different projects (e.g. planning/architecture, project development, hands-on technical resource/support for others, analysis and resolution of data issues)
  • Identify and constructively communicate the need for improvements or enhancements in MOBE technology assets
  • All other duties as assigned to help fulfill our Mission and abide by MOBE's Guiding Principles
Position Requirements



  • Bachelor’s degree in Computer Science, MIS, Applied Mathematics preferred
  • 3+ years of relevant work experience
  • Hands-on experience developing moderately complex data integration solutions using data management software tools
  • Highly proficient with SQL
  • An understanding of Software Engineering best practices and defensive coding practices
  • Experience working with and setting up code repositories, versioning, and continuous integration/continuous deployment environments
  • Demonstrates strong problem-solving skills and analytic thinking with experience in data analysis and user story development.
  • Knowledge of data management best practices, development standards and methodologies
  • Demonstrate oral/written communication and presentation skills to effectively communicate moderately complex technical information to business users and management
  • Ability and eagerness to learn new tools and applications
  • Self-starter able to work independently on defined tasks and priorities, seek out guidance/assistance when issues arise, or objectives require clarification


  • Experience working with healthcare insurance data, specifically eligibility and claims (medical and pharmacy and/or Call Center data)
  • Prior experience with writing, managing, and automating data pipelines
  • Prior experience using data warehouse methodologies, specifically Data Vault 2.0 / dimensional modeling
  • Proficient with Python and experience with supporting tools/frameworks to manage and deploy (e.g. pandas, docker)
  • Experience with quality automation processes, frameworks, and technologies/tools
  • Experience managing orchestration of data workflows and dependencies across multiple teams and technologies.
  • Demonstrated ability to work within a Linux environment and programming IDEs (VSCode, IntelliJ, PyCharm, etc.)
  • Practical and relevant experience with one or more Cloud databases and big data technical tools: AWS RedShift, Azure, Snowflake, WhereScape, Talend, DBT, Airflow or other data warehouse/ pipeline automation frameworks
  • Execution experience with Agile/Scrum project methodology
  • Working knowledge of AWS environment including shell scripting and scheduler tools
  • Experience with other RDBMS platforms (SQL Server, Postgres, MySql, ….)

Guiding Principles: We want employees who are kind, talented and committed, who live by our guiding principles and choose to work at MOBE because of these principles.

  • Care about people. We only succeed in our mission because we take good care of our own with the same energy, empathy and expertise we bring to the MOBE program. We honor who people are at work and outside of work.
  • Attitude counts. Our people believe in a friendly, human approach to helping people with their health and enjoy a culture built on trust, positivity, and well-being.
  • Do good together. As a mission-based organization, we need people who like to collaborate and are energized by doing good things.
  • Believe in the power of human potential. We need people who want opportunities for personal growth and believe in making a difference in the health care space, person by person.
  • Embrace new ideas. As a high-growth organization, we need people who have the energy and flexibility to innovate and evolve with our program.
  • Apply learnings. We learn by doing, and we’re going to get better at helping people by being able to anticipate their needs. We need people who embrace continuous improvement and are dedicated to delivering results.
  • Be relentless in the pursuit of awesome. MOBE offers a unique opportunity to help others lead more fulfilling, enjoyable lives. We need people who are ready to embrace this mission.
Full-Time/Part-Time Full-Time  
EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.  
Location Minneapolis  

This position is currently not accepting applications.

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