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Remote Amazon Data Engineer Jobs in Rosemount, MN

UnitedHealth Group

Lead Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

  • Retirement

... data and resources they need to feel their best. Here, you will find a culture guided by inclusion ... This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and ...

Vervint

Director of Data Intelligence

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

  • Retirement

Apply PII redaction pipelines on ingested documents and enforce data security using Model Context ... Exposure to Amazon Connect integration with Bedrock Agents via Lex V2 for contact centre AI *All ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

  • Retirement

Apply PII redaction pipelines on ingested documents and enforce data security using Model Context ... Exposure to Amazon Connect integration with Bedrock Agents via Lex V2 for contact centre AI *All ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time / Contract-to-Hire Options ... Strong understanding of CI/CD pipelines and DevOps practices for data platforms * Solid knowledge ...

Syscom, Inc.

Azure Database Engineer

Saint Paul, MN · On-site +1

$55.50 - $69/hr

Looking for your next Azure cloud data engineering challenge? If you're an experienced Database ... Remote/Hybrid. Candidates should be available to work onsite in St. Paul, MN, as needed for ...

InstantServe LLC

Database Developer

Saint Paul, MN · On-site +1

Job Title: - Database Developer. Location: St Paul, MN (Remote) Job Responsibilities: Tasks ... Execute large-scale data migrations, including cleansing, validation, and transformation across ...

Accelint

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ... Translate Navy engineering, logistics, and lifecycle management requirements into scalable ...

Centstone

Database Developer

Minneapolis, MN · Remote

Database Developer Location: Remote (Local to Minnesota Preferred) Employment Type: Contract ... Execute large-scale data migration, cleansing, validation, and transformation across enterprise ...

Horizontal Talent

Senior AI Engineer

Minneapolis, MN · Remote

$109K - $149K/yr

This remote opportunity offers the chance to work across teams, build scalable cloud-native AI ... Develop and maintain end-to-end AI/ML pipelines covering data ingestion, training, evaluation ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Rosemount, MN

Remote Amazon Data Engineer information

See Rosemount, MN salary details

$45.5K

$132.6K

$181.5K

How much do remote amazon data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote amazon data engineer in Rosemount, MN is $132,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 per year, depending on experience, location, and employer.

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What cities near Rosemount, MN are hiring for Remote Amazon Data Engineer jobs? Cities near Rosemount, MN with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you

Lead Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 23 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks.
Working in office if based in MSP or DC
Primary Responsibilities:
  • Designing and implementing ML models
  • Creating custom embeddings
  • Building RAG pipelines
  • Implementing vector databases
  • Developing agentic workflows with LangChain
  • Integrating AI into enterprise applications for Claims Payment Integrity (PI)
  • The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
  • Contribute to experimentation with novel ML and Generative AI architectures
  • Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
  • Support Retrieval-Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
  • Help design and implement AI-powered enterprise applications
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
  • Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
  • Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
  • Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
  • Contribute to skill development for engineers and interns in AI/LLM techniques
  • Comply with company policies, procedures, and directives

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:
  • Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
  • 5+ years of experience as a Data Scientist
  • 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation)
  • 5+ years of experience with Python, Scala, SQL
  • 3+ years of Databricks, Spark
  • 2+ years of experience with LLM & GenAI Skills:
    • Creating custom embedding models
    • Building RAG pipelines
    • Vector DBs & semantic search
    • Using LangChain for agentic workflows (tools, agents, memory)
    • Experience with OpenAI/Azure OpenAI APIs
    • Experience with Azure cloud for compute, security, and resource management
    • CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
    • Excellent communication and partnership skills
  • Experience with Actuarial, Risk and Forecasting Models

Preferred Qualifications:
  • Experience with healthcare claims data
  • Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
  • Demonstrated problem-solving, and analytical thinking skills
  • Demonstrated organizational skills with ability to be flexible and work with ambiguity

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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