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Remote Startup Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer (MedInsight)

Eden Prairie, MN · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Azure Data Engineer Location US # Positions 1 Experience (Years) 8 Category Information Technology ... This is a remote position. Lead the design, development, and optimization of enterprise data ...

Data Engineer x2

Rochester, MN · Remote

$116K - $139K/yr

Rochester, Minnesota (Remote) Role Overview We are seeking a Data Engineer to gain access to data across the organization and provide ongoing analysis by monitoring, profiling, and analyzing ...

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Rochester, Minnesota (Remote) Role Overview We are seeking a Software Engineer to design and build back-end services for a portfolio of data-centric clinical and analytic applications. This role ...

Process Engineer

Plymouth, MN · On-site +1

$100K - $120K/yr

Supports remote or on-site startup of solutions design. * Other duties as assigned by the direct ... Expert user in Excel for data management and analysis. * Experience with BioWin or other biological ...

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Showing results 1-20

Remote Startup Data Engineer information

What engineer makes $500,000 a year?

A senior data engineer at a high-growth startup or large tech company can earn $500,000 or more annually, often including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, and proficiency with tools like cloud platforms and distributed systems.

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

Can I work remotely as a data engineer?

Yes, remote work is common for data engineers, especially in startups and tech companies. Many roles require skills in SQL, Python, and cloud platforms like AWS or GCP, and often offer flexible schedules and remote collaboration tools.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data pipelines. Data engineers are essential for building scalable data infrastructure, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

Is a data engineer need coding?

Yes, data engineers typically need coding skills to build and maintain data pipelines, work with databases, and automate data workflows. Common programming languages include Python, SQL, and Java, and familiarity with tools like Spark or Hadoop is also important.
What are the most commonly searched types of Startup Data Engineer jobs in Minnesota? The most popular types of Startup Data Engineer jobs in Minnesota are:
What are popular job titles related to Remote Startup Data Engineer jobs in Minnesota? For Remote Startup Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Minnesota look for? The top searched job categories for Remote Startup Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Startup Data Engineer jobs? Cities in Minnesota with the most Remote Startup Data Engineer job openings:
Principal Data Engineer - Remote

Principal Data Engineer - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Posted 13 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

189th of 872 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

 

The Principal Data Engineer will join the Surest/Optum Data Engineering Enablement organization, a team responsible for developing shared frameworks, architectural patterns, standards, and cross plan data capabilities used by all Data Engineering delivery teams. This role requires deep expertise in cloud native engineering, distributed data processing, and healthcare data domains. You will design, build, and optimize scalable data solutions that span the full health plan ecosystem-including eligibility, claims, provider, pharmacy, utilization, pricing, and member experience data.

This role plays a critical part in advancing enterprise data modernization, improving platform efficiency, and enabling teams across the organization to develop high quality, governed, secure data solutions.
Principal Data Engineers include broad engineering responsibilities across analysis, design, development, testing, standards, tooling, and influencing organizational data strategy.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

 

Primary Responsibilities:

  • Partner in the design, development and communication of technology patterns and standards needed to manage Surest healthcare data
  • Provide technical leadership, guidance and training to team of data engineers on individual and group levels
  • Implement data processes and pipelines which incorporate product requirements with data storage, lifecycle, accessibility, performance, and security standards
  • Solve complex data development issues within data development software
  • Support Agile development practices, including refining user stories and collaborating with product owners and stakeholders
  • Develop large scale, flexible data pipelines to efficiently process health care data supporting all aspects of a health plan
  • Work with peers across Surest to ensure alignment on data capabilities and software development lifecycle (SDLC)

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Undergraduate degree in engineering, mathematics, computer science, software development, or related technical field, or equivalent experience
  • 10 years of solid SQL or NoSQL query experience
  • 5 years designing and implementing efficient, end-to-end, flexible data pipelines
  • 5 years with both batch and near real-time data architectures
  • 3 years of PySpark & Python data development experience
  • Experience implementing parallel processing data strategies
  • Experience integrating strategies for data pipeline introspection at sca
  • Experience working with Data Lake or Delta Lake architecture
  • Proven solid analytical thinking, creativity, and willingness to be hands-on
  • Proven solid drive to evolve development efficiency, data quality, and pipeline improvements
  • Demonstrated excellent problem-solving, documentation, teamwork, and communication skills
  • Proven superior attention to detail
  • Experience working in Agile Development Framework

 

Preferred Qualifications: 

  • Post-graduate degree in engineering, mathematics, computer science, software development, or other technical field
  • Experience working with healthcare data
  • Experience developing and operating Databricks jobs as data pipelines using pyspark

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

 

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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