Eden Prairie, MN

Data Jobs in Eden Prairie, MN

6 jobs found

Include remote jobs

10d ago

Principal AI / Machine Learning Data Engineer

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

10d ago

$113k - $193k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

The Principal AI / Machine Learning Data Engineer role at UnitedHealth Group focuses on designing and building end-to-end AI pipelines for large-scale unstructured data to enable advanced analytics and Generative AI. Located in Eden Prairie, MN with remote work options, this position sits at the crossroads of data engineering and AI, delivering production-grade data platforms and scalable AI capabilities.

Responsibilities

Design, implement, and sustain scalable data pipelines and platforms that support analytics, machine learning, and AI initiatives
Develop and optimize ingestion frameworks for both structured and unstructured data, including streaming and event-driven sources
Collaborate with cross-functional partners to understand evolving data and AI needs and define long-term technical roadmaps
Support and enable ML and AI workflows, including feature engineering, data preparation, and model deployment assistance
Lead strategic programs around Generative AI, data quality, observability, lineage, and governance
Create and maintain frameworks that enable rapid experimentation and deployment of AI/ML solutions
Promote and evolve best practices in data modeling, orchestration, testing, and monitoring
Identify opportunities to improve platform scalability, performance, and cost efficiency
Partner with product, analytics, and infrastructure teams to deliver impactful data and AI solutions
Develop reusable parsing, enrichment, analytics, and service libraries to accelerate delivery across teams
Operate effectively under time-sensitive conditions while ensuring thoroughness and accuracy
Maintain high ethical standards, objectivity, and confidentiality in all work
Build and operate production data platforms and pipelines across batch and streaming workloads
Hands-on engineering in Python and SQL, with experience in JVM languages (Java/Scala) within Spark ecosystems
Work with distributed processing and lakehouse/warehouse patterns (for example Spark/PySpark, Databricks, Snowflake)
Develop pipelines for OCR, document parsing, and text extraction from image-based or scanned data
Enable production Generative AI solutions, including retrieval patterns and evaluation/monitoring practices
Adopt knowledge-centric data approaches (metadata-driven systems, entity resolution, graph concepts) to improve discoverability
Maintain a data quality, observability, and monitoring mindset with profiling, validation, alerting, and reliability improvements
Orchestrate, implement CI/CD, containerization, and infrastructure-as-code with tools such as Airflow, GitHub Actions, Docker, Terraform, and Kubernetes
Work in cloud environments (AWS, Azure, or GCP), ensuring secure handling of sensitive data (PII/PHI) and collaboration with compliance teams
Provide leadership through influence, mentor engineers, and translate ambiguous problems into scalable technical roadmaps

Requirements

Bachelor's degree or equivalent experience
5+ years designing, building, and operating scalable data pipelines and platforms (batch and streaming)
2+ years deploying Generative AI solutions to production (for example RAG, LLM-powered pipelines, semantic search)
Strong hands-on development experience in Python and SQL, with Spark/PySpark and Databricks or similar distributed platforms
Experience building ingestion and processing frameworks for unstructured data, including OCR, documents, and images, with parsing and enrichment
Proficiency with cloud platforms (AWS, Azure, GCP), DevOps/CI/CD, and infrastructure-as-code, including secure handling of sensitive data
Proven ability to design scalable solutions, implement data quality and observability practices, and collaborate with diverse stakeholders

Technologies

Python
SQL
Spark
PySpark
Java
Scala
Databricks
Snowflake
AWS
Azure
Google Cloud Platform (GCP)
Kafka
Kinesis
Event Hubs
Airflow
GitHub Actions
Docker
Terraform
Kubernetes
Delta Lake
Plotly
Seaborn
Chartjs
Great Expectations
Deequ

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase opportunities
401k contribution

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or Google Cloud, including managed data services
Experience with streaming and event-driven architectures (Kafka, Kinesis, Event Hubs)
Experience with data quality and validation frameworks and data observability tooling
Experience enabling MLOps practices, including feature stores, model registries, experiment tracking, and deployment automation
Experience with lakehouse architectures, Delta Lake, and Spark performance tuning
Experience with data visualization libraries such as Plotly, Seaborn, and Chartjs
Experience with machine learning and predictive analytics
Familiarity with security and privacy concepts for data platforms and collaboration with compliance partners
Strong hands-on Python and SQL skills; familiarity with Java/Scala in Spark ecosystems

Application Deadline

The posting will remain active for at least two business days or until a sufficient candidate pool is reached. The listing may be withdrawn earlier if applicant volume is high.

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20d ago

Senior Data Analytics Engineer - Remote

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

20d ago

$92k - $164k/yr Full time Senior Analytics Azure

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Job Description

This is a remote Senior Data Analytics Engineer role based in Eden Prairie, MN, supporting Optum's Fraud Retrospective Product within the Optum Payment Integrity organization. The position offers an annual salary range of USD 91,700 to 163,700, with a minimum of 1 year of relevant experience.

Responsibilities

Provide realistic effort estimates and project timelines for development and support initiatives.
Translate business requirements and functional specifications into technical designs and documentation.
Build analytics processes aligned with established standard structures and macros.
Develop solutions suitable for production deployment.
Perform data extraction and research studies, including analysis, review, trend assessment, and presentation of findings to support ad hoc data requests per specifications.
Collaborate with business engagement leaders and technical analysts to create new or update existing process documentation and templates.
Analyze data elements within current source data mart schemas.
Examine healthcare claim data from multiple sources to identify data integrity issues.
Conduct unit, system, and regression testing to ensure quality.
Tune performance of existing applications and analytic workflows.
Provide guidance to developers to enhance efficiency and coding practices.
Share knowledge on technologies and serve as a technical expert within the team.
Lead and mentor both new and existing team members.
Continuously identify production process deficiencies, propose improvements, and implement enhancements to boost productivity or reduce manual effort.

Requirements

At least three years of experience with SAS.
Three or more years of relational database experience with Oracle, Teradata, MySQL, or Snowflake.
Three or more years of experience in analysis, process improvement, problem solving, and critical thinking.

Technologies

SAS
SAS Grid
UNIX
Azure
Python
Scala
Spark
Databricks
SQL
VS Code
GitHub Copilot

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase plan
401(k) contribution

Application Deadline

This job posting will remain active for a minimum of two business days or until a sufficient candidate pool has been collected. The posting may be closed earlier if there is a high volume of applicants.

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28d ago

Treasury Data Analyst

UnitedHealth Group Eden Prairie, MN

Eden Prairie, MN

28d ago

$73k - $130k/yr Full time Analyst Analytics Business Analytics

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Job Description

UnitedHealth Group offers a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and 401(k) contributions, all supporting a collaborative, data-driven culture. This hybrid role in Eden Prairie, MN focuses on building forward-looking cash flow forecasting analytics, ML-powered modeling, dashboards, and data quality controls to support Treasury decision-making. The position requires an undergraduate degree and at least two years of relevant experience, with a salary range of USD 72,800 - 130,000 per year.

Benefits

comprehensive benefits package
incentive and recognition programs
equity stock purchase
401k contribution

Responsibilities

Collaborate with data analysts, scientists, and Treasury teammates to deploy machine learning based predictive data models for cash flow forecasting
Leverage Power BI to craft reports and dashboards that yield actionable insights for measuring, forecasting, investing, borrowing, and risk management
Develop SQL queries and automated workflows to extract and manipulate data for analytical needs
Partner with other departments to gather forward-looking business data to enhance forecasting models
Design, validate, and run data quality and integrity checks to ensure reliable analytical outputs
Translate business questions and requirements into technical logic and analytical solutions
Present insights, assumptions, and limitations clearly through visuals and dialogue to audiences ranging from operators to senior leadership

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field
2+ years of data analytics or financial analysis within treasury, finance or related business function
High attention to detail with a strong focus on accuracy, quality, and data integrity
Ability to synthesize large datasets, interpret financial statements, analyze cash flow projections, and understand financial ratios
Analytical mindset with comfort navigating ambiguity and managing multiple priorities
Effective communication skills to convey insights and recommendations to stakeholders across all levels

Technologies

Power BI
SQL
Microsoft Excel
Snowflake

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1mo ago

Senior Data Engineer

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$92k - $164k/yr Full time Senior Azure Data Engineer

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Optum, part of UnitedHealth Group, is seeking a Senior Data Engineer to design and scale ETL pipelines and data enrichment capabilities within UHG Trend Analytics. This role focuses on delivering dependable data applications that meet business requirements, with remote work options across the United States and in-office requirements in Minneapolis, MN or Washington, DC.

Location: Eden Prairie, MN (remote)

Salary: USD 91,700 - 163,700 per year

Responsibilities

Provide accurate and timely estimates for tasks
Offer support and leadership in critical production support issue resolution
Lead root-cause analysis on in-scope incidents with recommended corrective action plans
Collaborate with the team to resolve production issues within SLA targets
Perform code reviews to ensure high-quality deliverables
Prioritize production issue resolution with business stakeholders
Develops innovative approaches
Data Engineering

Requirements

6+ years of data engineering work experience
6+ years of ETL development experience
6+ years of SDLC experience
6+ years of experience writing advanced complex queries, code optimization with SQL

Technologies

Python
Snowflake
Azure
Databricks
SSIS
.Net
Oracle
SQL Server
Teradata
SQL

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

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1mo ago

Treasury Data Analyst

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$35 - $62/hr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

The Treasury Data Analyst role, based in Eden Prairie, MN (remote), translates data into forward-looking analytics to support cash management, automated reporting, and forecasting.

Responsibilities

Collaborate with data analysts, data scientists, and Treasury colleagues to implement machine learning driven predictive models for cash flow forecasting.
Leverage Power BI to develop detailed reports and dashboards that yield actionable insights for measuring, forecasting, investing, borrowing, and risk management.
Design SQL queries and automated workflows to extract, transform, and prepare data for analysis.
Partner with cross-functional teams to gather forward-looking business data that enhances cash flow forecasting models.
Design, validate, and run data quality and integrity checks to ensure reliable analytical outputs.
Translate business questions and requirements into practical technical logic and analytical solutions.
Present insights, assumptions, and limitations clearly through visual representations.
Convey insights verbally to audiences ranging from operators to senior leadership.

Requirements

Undergraduate degree in Accounting, Finance, Economics, Analytics, or other quantitative field.
2+ years of data analytics or financial analysis within treasury, finance, or related business function.
High attention to detail with a strong emphasis on accuracy, quality, and data integrity.
Ability to synthesize large datasets, interpret financial statements, analyze cash flow projections, and understand financial ratios.
Analytical mindset with comfort navigating ambiguity and managing multiple priorities.
Effective communication skills to convey insights and recommendations to stakeholders across all levels of the organization.

Technologies

Power BI
SQL
Snowflake
Microsoft Excel

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Application deadline

This posting will remain up for a minimum of 2 business days or until a sufficient candidate pool has been collected. The job posting may be removed earlier due to higher volumes of applicants.

View full job page →

1mo ago

Principal Data Engineer

Optum Eden Prairie, MN

Eden Prairie, MN

1mo ago Closed

$113k - $193k/yr Full time Senior Big Data Cloud Operations

This position is no longer accepting applications (closed Jun 26, 2026).

Job Description

Optum is seeking a Principal Data Engineer to lead the design, construction, and operation of data‑intensive systems that scale across cloud platforms. This hybrid role in Eden Prairie, MN emphasizes delivering robust data pipelines with strong governance, CI/CD practices, and data-centric collaboration across teams. A bachelor’s degree in engineering or equivalent experience is required, with a minimum of two years of relevant experience, and the position carries a salary range of USD 112,700 to 193,200 per year.

Responsibilities

Collaborate with product owners, system analysts, and engineering teams to deliver data solutions aligned with an Agile roadmap
Work with data architects and platform engineers to translate functional and non‑functional requirements into scalable data architectures
Serve as a technical leader and primary point of contact for scrum teams, guiding and influencing solutions across teams and mentoring junior engineers
Design, build, test, and operate data‑intensive systems, including streaming and batch pipelines using Databricks, Kafka, Snowflake, and cloud‑native storage
Develop and maintain ETL/ELT pipelines, data transformations, and orchestration workflows using Python, SQL, and distributed processing frameworks
Implement and continuously improve CI/CD, DevOps, and DataOps practices to enable reliable, automated deployments of data pipelines and analytics workloads
Build and maintain configuration management, infrastructure automation, deployment strategies, and monitoring/observability tools for data platforms
Apply software and data engineering best practices, including reliability engineering, fault‑tolerant architecture, performance tuning, and automated testing
Participate in incident management processes, root‑cause analysis, and remediation using ServiceNow
Define and implement data quality, governance, security, and resilience strategies to ensure trusted and compliant data products
Support data solutions throughout the full SDLC, from design and development through production deployment and operational support
Participate in design reviews, architecture discussions, code reviews, defect triage, and performance optimization efforts
Adhere to established data modeling, coding, and platform standards, while continuously improving how data solutions are built and delivered

Requirements

Bachelor's degree in engineering or equivalent experience
5+ years of experience designing and implementing cloud‑based data solutions on Azure, Google Cloud, or AWS
5+ years of experience with modern data and platform technologies, including Azure Databricks, Apache Kafka (or equivalent streaming platforms), Snowflake, GitHub and GitHub Actions
2+ years of hands‑on experience with Python and/or Scala for data engineering workloads
Solid proficiency in SQL for data querying and transformation, plus a strong understanding of version control, CI/CD pipelines, and automated deployment practices for data platforms
Proven ability to collaborate effectively within Agile, distributed, and onshore/offshore teams

Technologies

Databricks
Apache Kafka
Snowflake
GitHub
GitHub Actions
Python
Scala
SQL
Azure
Google Cloud
AWS
ServiceNow
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
RESTful APIs

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred Qualifications

Relevant cloud certifications, particularly Microsoft Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert
Experience within the healthcare industry
Firsthand experience with AI techniques and frameworks, such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), or autonomous agents
Working knowledge of RESTful APIs and data integration patterns
Thorough understanding of data modeling techniques (conceptual, logical, and physical) and deep knowledge of data warehousing architectures and best practices
Proven excellent analytical and problem‑solving skills, with the ability to think creatively and deliver innovative data solutions in collaboration with delivery teams

Application timeline

This posting will remain live for a minimum of two business days or until a sufficient candidate pool has been collected. The job posting may be removed earlier due to the volume of applicants.

View full job page →

Data Jobs in Eden Prairie, MN

Principal AI / Machine Learning Data Engineer

Senior Data Analytics Engineer - Remote

Treasury Data Analyst

Senior Data Engineer

Treasury Data Analyst

Principal Data Engineer

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