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Senior Amazon Data Engineer Jobs in Minnesota (NOW HIRING)

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization with ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

ENIN SYSTEMS INC

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data Engineer - 10+ Years Experience Job Title: Senior Data Engineer Experience: 10+ Years Job Summary We are looking for a highly experienced Senior Data Engineer with 10+ years of experience ...

Conch Technologies Inc

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote? Hybrid in Minneapolis MN or Madison WI - must already be local and living within 50 miles 3-5 Must ...

UnitedHealth Group

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with crossfunctional teams (analytics, product, engineering, business ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN

$110K - $150K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

Accenture

Google Senior Data Engineer

Minneapolis, MN · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Kobie Marketing

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Pwc

Data Engineer - Manager

Minneapolis, MN · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Omnicom

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data Science and Analytics Summary of Job: As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing ...

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Senior Amazon Data Engineer information

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

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 Senior Amazon Data Engineer jobs in Minnesota?

For Senior Amazon Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Minnesota look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Amazon Data Engineer jobs?

Cities in Minnesota with the most Senior Amazon Data Engineer job openings:

Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Data Engineer

IP Corporation

Saint Paul, MN • On-site

$115K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Sr. Data Engineer, Microsoft Fabric & Power BI

Location: Vadnais Heights, MN (Hybrid)

What is IP Corporation?

IP Corporation is a privately held, family-owned chemical manufacturing organization with more than 70 years of stability, innovation, and growth. Headquartered in Minnesota, IP Corporation supports a portfolio of operating companies that manufacture and distribute resins, gel coats, composite materials, and specialty polymer solutions used across a wide range of industrial applications.

Our operating companies, Interplastic Corporation, North American Composites, HK Research, and Molding Products, work together to deliver technical expertise, high-quality products, and long-term partnerships to customers around the world. We are known for our customer-first mindset, strong technical capabilities, and collaborative culture built on trust and continuous improvement.

What is a Sr. Data Engineer, Microsoft Fabric & Power BI?

The Sr. Data Engineer, Microsoft Fabric & Power BI is responsible for designing, building, and optimizing the enterprise data infrastructure that powers business intelligence across IP Corporation. This role combines data engineering, analytics, and business intelligence development to transform operational and manufacturing data into trusted, actionable insights.

Working closely with the Data Architect and business stakeholders, this individual will develop scalable data pipelines, manage Microsoft Fabric data environments, and create impactful Power BI dashboards that support informed decision-making across the organization. The ideal candidate is passionate about modern data platforms, industrial data integration, and building enterprise solutions that enable data-driven business outcomes.

What You Can Expect to Do as a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Design, develop, and maintain scalable data pipelines that extract data from operational technology (OT) systems, including historians, SCADA systems, PLCs, and OPC UA sources.
  • Build robust ingestion pipelines that support both batch and near real-time data processing into Microsoft Fabric.
  • Land, transform, cleanse, and model enterprise data within OneLake, Lakehouse, and Warehouse environments.
  • Optimize data pipelines for reliability, scalability, performance, and cost efficiency, monitoring and troubleshooting pipeline performance while proactively identifying opportunities for improvement.
  • Design, develop, and maintain Power BI semantic models, dashboards, and enterprise reporting solutions, including optimized DAX measures and data models that support self-service analytics.
  • Establish reporting standards, visualization best practices, and reusable reporting assets.
  • Partner with business stakeholders to understand reporting needs, translate business questions into actionable analytics, and continuously improve reporting capabilities that support strategic and operational decision-making.
  • Develop and maintain Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Dataflows, and Pipelines, working closely with the Data Architect to expand the ecosystem and ensure solutions follow Microsoft Fabric best practices and architectural standards.
  • Support enterprise data governance initiatives, including metadata management, security, lineage, and access controls, and assist with implementation of Microsoft Purview and other governance tools as needed.
  • Collaborate with IT, manufacturing, operations, engineering, and business teams, participate in Agile/Scrum ceremonies, support data integration projects across manufacturing and ERP platforms, and document technical solutions, data models, and pipeline architecture.

What We Are Looking For in a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field (or equivalent experience).
  • Five (5) or more years of experience designing and supporting enterprise data solutions.
  • Expertise with Microsoft Fabric, including Data Factory, OneLake, Lakehouse, Warehouse, and related platform components.
  • Advanced experience developing Power BI semantic models, dashboards, reports, and DAX calculations.
  • Strong SQL skills and experience designing relational and dimensional data models.
  • Experience building ETL/ELT data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Synapse, or similar technologies.
  • Experience integrating data from operational technology (OT) systems including historians, SCADA systems, PLCs, OPC UA, or similar industrial data sources.
  • Strong understanding of Agile/Scrum software development methodologies.
  • Strong understanding of modern cloud-based data engineering principles, data architecture, data governance, and business intelligence best practices.
  • Ability to design scalable, maintainable, and secure enterprise data solutions.
  • Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and data quality.
  • Strong communication skills with the ability to collaborate across technical and business teams and communicate technical concepts to non-technical stakeholders.
  • Strong organizational skills with the ability to manage multiple projects and priorities, working independently while collaborating across cross-functional teams.
  • Proficiency with Microsoft Office applications including Outlook, Word, Excel, Teams, and PowerPoint.
  • Experience working within manufacturing, industrial automation, or process manufacturing environments, including ERP integrations and enterprise business applications, preferred.
  • Experience with Microsoft Purview or other enterprise data governance platforms, Microsoft Azure, enterprise security, lineage, metadata and access management strategies, real-time or streaming data architectures, and Microsoft Fabric, Azure Data Engineering, or Power BI certifications preferred.

Why Join IP Corporation?

  • Be part of a stable, privately held organization with more than 70 years of success and industry leadership.
  • Competitive benefits including medical, dental, vision, generous PTO, and a 401(k) with company match.
  • Opportunity to make a meaningful impact in a collaborative, values-driven organization where your contributions matter.
  • Work alongside experienced professionals in an environment that encourages continuous learning, development, and career growth.
  • Join a culture built on teamwork, integrity, innovation, and long-term customer partnerships.
  • Contribute to products and solutions that support a wide range of industries across North America and beyond.
  • Enjoy the benefits of a company that combines the stability of an established organization with the agility and entrepreneurial spirit to drive innovation and continuous improvement.

IP Corporation is an Equal Opportunity Employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic in accordance with applicable laws.

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