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Remote Amazon Data Engineer Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

... 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 ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Expleo

Database Developer

Saint Paul, MN · On-site +1

$89 - $95/hr

Paul, MN) | Fully Remote Candidates Considered Employment Type: Full-Time or Contract-to-Hire Are you a seasoned Database Developer who enjoys solving complex data challenges, optimizing performance ...

New

CSAA

Collaborate with engineers and architects on hub configuration and solution design, integration ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Minnesota

Remote Amazon Data Engineer information

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 are the most commonly searched types of Amazon Data Engineer jobs in Minnesota? The most popular types of Amazon Data Engineer jobs in Minnesota are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Minnesota? For Remote Amazon Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Minnesota look for? The top searched job categories for Remote Amazon Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Amazon Data Engineer jobs? Cities in Minnesota with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you
Senior AI/ML Engineer - Remote

Senior AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$106K - $146K/yr

Full-time

Retirement

Posted 4 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 889 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.
Join the Contact Center Voice modernization journey modernizing a mission critical voice channel that supports 300M+ calls annually. You'll help migrate legacy contact center capabilities off on prem platforms and into multi cloud (AWS + Google) solutions-building scalable voice experiences, accelerating feature migrations, and strengthening reliability and governance for AI enabled customer interactions. If you enjoy solving complex, high impact engineering problems with modern cloud stacks (CI/CD, microservices, automation) and shaping "responsible AI" practices in production, this role is for you.
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:
  • Lead cloud migrations of traditional voice contact center capabilities from legacy platforms to Google Dialogflow and Amazon (Connect/Lex) solutions, partnering across engineering, platform, and business teams
  • Own solution design and delivery for cloud-based contact center components (voice bot/IVR workflows, orchestration/integrations, deployment patterns), ensuring production readiness end-to-end
  • Rapidly learn and apply new ecosystem patterns to accelerate bot + IVR modernization-adapting to evolving requirements and scaling reusable approaches across workstreams
  • Drive cross-functional execution: collaborate with Platform/Steering/CCaaS teams, SRE/Operations, QA/Perf, and business stakeholders to align dependencies and deliver outcomes
  • Establish and evolve DevOps best practices for build/release automation, observability, and environment hygiene using modern CI/CD and source control practices (e.g., GitHub-based workflows)
  • Build and enhance automation tooling, including the Bot Certification Tool, to streamline governance, compliance workflows, and developer productivity across contact center engineering
  • Engineer for reliability, scalability, and security: design with least-privilege, resilient architectures, performance considerations, and solid operational monitoring for production voice experiences
  • Partner with SI vendors and internal teams to define deliverables, execute migration plans, and ensure value realization through measurable outcomes
  • Operationalize "Responsible AI" by supporting a Machine Learning Review Board approval process-embedding governance, traceability, and risk controls into AI/LLM-enabled solutions

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:
  • 3+ years of experience building and operating cloud-native solutions with DevOps practices (CI/CD, automated testing, release management, and monitoring) in production environments
  • 3+ years of experience delivering digital contact center/channel solutions at scale (Voice Bot, Chat Bot or related orchestration/integrations) with production support accountability
  • 3+ years of experience implementing AI/ML capabilities, including practical exposure to LLM-enabled features (prompting/guardrails, evaluation, monitoring, or governance) in enterprise settings
  • 3+ years of hands-on experience with AWS and/or GCP, including cloud architecture fundamentals.
  • 3+ years of experience building modern applications and services using React and Python/JavaScript/NodeJS, including microservices or micro-app patterns
  • Demonstrated ability to quantify engineering and operational tradeoffs (cost, reliability, performance, and maintainability) and communicate those decisions to stakeholders
  • Proven track record of innovation/optimization in established bot or IVR landscapes-e.g., automation accelerators, reusable frameworks, or delivery improvements that reduce cycle time or risk
  • Proven solid cross-functional collaboration skills including experience working with platform teams, product/business partners, and SI vendors to deliver outcomes

Preferred Qualifications:
  • Direct experience with Amazon Lex / Amazon Connect and/or Google Dialogflow implementations for enterprise voice workflows
  • Experience building internal developer platforms/tools (e.g., governance workflows, certification pipelines, UI-driven tooling)
  • Experience supporting large-scale voice modernization programs (migration roadmaps, dependency management, operational readiness)
  • Experience with networking, IAM/security controls, observability, and reliability patterns

*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 $91,700 to $163,700 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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