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Associate Data Engineering Jobs in Minnesota (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Pwc

Data Engineer - Manager

Minneapolis, MN

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Strategy-Manager

Minneapolis, MN

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Braun Intertec

Data Engineer

Bloomington, MN · On-site

$115.10K - $138.20K/yr

The Data Engineer will ensure the efficient flow, management, and consumption of data across our ... Associate or bachelor's degree in computer science, software engineering or 5+ years equivalent ...

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Associate Data Engineering information

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Associate Data Engineering jobs? Cities in Minnesota with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Manager, Data Engineering

Manager, Data Engineering

Post Consumer Brands

Lakeville, MN • On-site

Full-time

Posted 21 days ago

Post Consumer Brands rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

76th of 378 rated food and drinks producers

Job description

Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Manager, Data Engineering
Location: Hybrid in Lakeville, MN
About the Role
At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, self-service reporting, and AI-ready data products across the enterprise.
You'll lead a team of data engineers responsible for building high-quality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you'll balance delivery speed, reliability, and forward-looking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.
This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, product-oriented data ecosystem.
Key Responsibilities
Data Engineering Foundation & Delivery
  • Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards
  • Deliver curated, durable, and reusable data assets aligned to priority business decision domains
  • Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases

Technical Design & Scalability
  • Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices
  • Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable
  • Make informed tradeoff decisions across performance, cost, and delivery speed

Modern Data Ecosystem Enablement
  • Build AI/ML-ready and product-oriented data engineering capabilities
  • Engineer low-latency and real-time data pipelines for operational analytics and intelligent applications
  • Develop ingestion and processing frameworks for structured and unstructured data

Data Trust, Reliability & Operational Readiness
  • Embed data quality, documentation, lineage, and observability into data assets
  • Ensure production-grade reliability and operational readiness in partnership with Governance and D&A Operations

Enablement of Analytics & Self-Service
  • Partner with Analytics Solutions to enable BI, advanced analytics, and data science
  • Deliver trusted, well-modeled semantic layers that empower self-service analytics

Team Leadership & Capability Development
  • Lead, mentor, and develop a team of on-shore data engineers and coordinate with off-shore partners
  • Foster a culture of engineering excellence, accountability, and continuous improvement
  • Drive adoption of modern tools, practices, and AI-enabled engineering workflows

Operational Excellence & Continuous Improvement
  • Translate enterprise priorities into executable delivery plans
  • Balance speed, quality, and sustainability across delivery and operations
  • Leverage automation and AI tools to improve efficiency and code quality

Qualifications
What We're Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprise-scale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domain-oriented/semantic models
  • Experience building production-grade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholder-management skills
  • Bachelor's Degree REQUIRED in a technical or quantitative field (advanced degree preferred)

Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or product-oriented data operating models
  • Exposure to real-time streaming, generative AI, LLM-enabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity

Why You'll Love This Role
At Post Consumer Brands, you'll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprise-scale data, while still having the autonomy to make meaningful impact. You'll help shape a modern, AI-ready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You'll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growth-oriented culture that respects work-life balance and personal development.
Ready to Make an Impact?
If you're excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we'd love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
The pay range for this position is $102,931 - $152,338 per year.

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