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Associate Data Engineer Jobs in Bloomington, MN (NOW HIRING)

Pwc

AI Engineer

Minneapolis, MN · On-site

$55K - $187K/yr

... Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Andersen Windows, Inc.

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ... May provide work direction to associate analyst or cross functional support team members.**Minimum ...

Renewal-By-Andersen

Data Analyst II

Cottage Grove, MN · On-site

Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ... May provide work direction to associate analyst or cross functional support team members.Minimum ...

Andersen Corporation

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ... May provide work direction to associate analyst or cross functional support team members. Minimum ...

Andersen

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

Programming Basics:Exposure toscripting languagessuch asSQLfor data manipulation and automation ... May provide work direction to associate analyst or cross functional support team members. Minimum ...

U.S. Bank

Data Product Engineer Associate

Minneapolis, MN · On-site

$16.75 - $21.75/hr

Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for ...

US Bank

Data Product Engineer Associate

Minneapolis, MN · On-site

$92K - $109K/yr

Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Bloomington, MN

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for associate data engineer in Bloomington, MN is $18.83, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.05 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Bloomington, MN?

The most popular types of Data Engineer jobs in Bloomington, MN are:

What are popular job titles related to Associate Data Engineer jobs in Bloomington, MN?

For Associate Data Engineer jobs in Bloomington, MN, the most frequently searched job titles are:

What cities near Bloomington, MN are hiring for Associate Data Engineer jobs?

Cities near Bloomington, MN with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Bloomington, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,162 per year, or $18.8 per hour.

Managing Consultant, Databricks Engineer - Minneapolis

Bloomington, MN • On-site

Thought Logic Consulting
11 - 50 employees
Learn more about Thought Logic Consultingexternal

Other

Posted 8 days ago

Job description

Managing Consultant, Databricks Engineer/Architect - Minneapolis

Department: Data Analytics

Employment Type: Full Time

Location: Minneapolis

Description

Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems through a combination of deep functional expertise, modern technology, and practical execution. Our highly collaborative, local-market approach gives clients senior-level attention while giving our consultants room to grow, lead, and build.

***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****

The Role

We are looking for a technically skilled and motivated Databricks Engineer/Architect with 7+ years of experience and strong hands-on Databricks expertise to join our growing Data & Analytics team.

In this role, you'll design and build modern data solutions for clients, with a focus on Databricks Lakehouse architecture, scalable data pipelines, cloud data platforms, data quality, and emerging AI-enabled engineering practices. You'll work alongside experienced architects and consultants while taking ownership of technical delivery and developing your client-facing and consulting skills.

What You'll Do
  • Design and build scalable data engineering solutions using Databricks Lakehouse, including Delta Lake, Unity Catalog, Delta Live Tables/Lakeflow Declarative Pipelines, Delta Sharing, and Uniform (Iceberg) where appropriate.
  • Develop and optimize batch, micro-batch, and streaming data pipelines using Auto Loader, Apache Spark, PySpark, SQL, and Python.
  • Build robust ETL/ELT processes, data models, and orchestration workflows using Databricks Jobs/Workflows, Airflow, dbt, and modern data engineering patterns.
  • Implement data quality, observability, governance, auditability, and performance optimization capabilities across enterprise data platforms.
  • Establish modern CI/CD and DevOps practices for data engineering, including Databricks Asset Bundles, automated testing, deployment automation, and Infrastructure as Code with tools such as Terraform.
Who You'll Work With
  • Experienced consultants, architects, and engineers focused on solving complex business and technology challenges through data.
  • Clients across industries looking to modernize data platforms, improve data accessibility and quality, and create greater value from their data.
  • Cross-functional stakeholders across technology, analytics, business operations, and leadership, requiring both technical depth and strong communication.
  • A collaborative team that values curiosity, humility, technical excellence, hands-on problem-solving, and client impact.
What You'll Bring
  • 7+ years of data engineering/architecture, analytics, or related technical experience, including at least 2 years of hands-on Databricks and strong experience with Lakehouse technologies.
  • Strong hands-on skills with Databricks, Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Apache Spark, PySpark, SQL, and Python, including scalable batch and streaming pipelines.
  • Experience with Databricks Workflows/Jobs, Auto Loader, Airflow, dbt, and/or similar orchestration and transformation technologies, plus experience with cloud data platforms such as Snowflake, Redshift, or BigQuery.
  • Understanding of enterprise data quality, governance, observability, auditability, performance optimization, CI/CD, and automated testing, with exposure to Databricks Asset Bundles and Terraform.
  • Strong consulting, communication, and problem-solving skills, with the ability to work directly with technical and non-technical stakeholders and translate business requirements into practical data solutions.
Bonus Points if You Have
  • Databricks Data Engineer Associate or Professional certification and multiple Databricks project delivery experiences.
  • Experience with modern data and cloud technologies such as Snowflake, Redshift, BigQuery, Kafka, Amazon EMR, Docker, Kubernetes, or Terraform.
  • Experience implementing enterprise data quality and governance using Great Expectations, Collibra, dbt, or Databricks-native capabilities.
  • Exposure to agentic AI and AI-powered development tools, including LangGraph, autonomous agents, GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, or similar technologies.
  • Previous consulting or client-facing technical delivery experience, along with cloud or additional data engineering certifications.
Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that’s scaling thoughtfully and intentionally, not just chasing growth for growth’s sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space
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