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

Associate Software Engineer Arizona On-Site Role $30 - $35 per hour ABOUT THE ROLE Our client is ... Exposure to complex healthcare systems and data, with opportunities to work on innovative AI and ...

DevOps Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by diversity ... Associate * In-depth knowledge of Azure Cost Management & Billing, tagging strategies, and cloud ...

AI Engineer (Hybrid)

Saint Paul, MN · On-site

$105K - $145K/yr

The Senior AI Engineer is a key member of Securian Financials' Enterprise Data and Analytics team ... Your work ensures associates across Securian have the right platforms and guardrails to develop ...

Azure Database Architect

Saint Paul, MN · Remote

$63.50 - $83/hr

Azure Data Engineer Associate What We Offer At Trissential, we value expertise, innovation, collaboration, and continuous growth. By joining our client's team, you'll have the opportunity to work on ...

Showing results 41-60

Associate Data Engineer information

See Rosemount, MN salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for associate data engineer in Rosemount, MN is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.38 per hour, depending on experience, location, and employer.

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 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.

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

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

What job categories do people searching Associate Data Engineer jobs in Rosemount, MN look for?

The top searched job categories for Associate Data Engineer jobs in Rosemount, MN are:

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

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

Senior Data Business Analyst

Hollstadt & Associates

Bloomington, MN • On-site

$96.43 - $107.45/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you’ll work with a refreshingly real company led and staffed by seasoned experts who are also down-to‑earth, good people. We’re committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.

Job Description

Role: Senior Data Business Analyst

Location: Hybrid in Bloomington, MN preferred; approximately 1‑2 days onsite per week

Employment Type: Six‑month contract-to-hire

Citizenship Requirement: Must be a U.S. citizen

Target Start: Around 9/7/2026

Rate: $70-$78/hour W2

Position Overview

The Senior Data Business Analyst will join a growing IT data, analytics, and AI organization within a highly technical semiconductor manufacturing company. The organization is building out its business intelligence, data, and integration capabilities while also navigating a major acquisition and increasingly complex data‑separation, security, and access requirements.

This individual will serve as a critical bridge between business stakeholders, manufacturing teams, data engineering, enterprise IT, AI teams, and technical leadership. The immediate focus will be understanding the company’s legacy data environment, documenting how information is used and owned, defining security and access requirements, and helping prioritize the systems and datasets that must be remediated, migrated, integrated, or replaced.

This is not a narrowly defined requirements‑gathering position. The successful candidate will be expected to investigate ambiguous problems, challenge outdated assumptions, facilitate decisions, and help establish a more mature and scalable data operating model.

Key Responsibilities
  • Partner with business, manufacturing, enterprise IT, AI, and data stakeholders to understand business processes, systems, data usage, and reporting needs.
  • Conduct discovery across legacy applications, databases, data warehouses, data marts, and manufacturing systems.
  • Document data sources, definitions, ownership, business purpose, sensitivity, security requirements, and downstream dependencies.
  • Help identify data that belongs to customers or other external parties and define appropriate access and segregation requirements.
  • Translate business, regulatory, customer, and security needs into clear data requirements and actionable technical work.
  • Facilitate discussions to determine who should have access to specific systems and datasets and under what conditions.
  • Help classify data into appropriate categories, such as public, internal, private, confidential, or restricted.
  • Support the assessment and prioritization of legacy systems to determine which can be remediated, which require migration, and which should ultimately be replaced.
  • Create current‑state and future‑state process flows, data mappings, requirements, user stories, acceptance criteria, and decision documentation.
  • Partner with data engineers and architects on the evolution of the company’s data lakes, warehouses, marts, and reporting environment.
  • Support initiatives to bring currently disconnected data into the enterprise data ecosystem.
  • Help ensure data is appropriately structured and governed so technical teams can implement row‑level security and access‑management controls.
  • Provide light project coordination by tracking decisions, dependencies, risks, action items, and progress across stakeholders.
  • Help establish repeatable business‑analysis and data‑governance practices as the team continues to grow.
Required Qualifications
  • Strong experience as a Business Analyst working on data, analytics, business intelligence, data‑governance, data‑conversion, or enterprise data initiatives.
  • Demonstrated ability to investigate complex data environments and translate business needs into technical requirements.
  • Experience documenting data sources, ownership, lineage, definitions, classifications, integrations, or access requirements.
  • Ability to communicate effectively with technical engineers, business leaders, manufacturing stakeholders, and senior leadership.
  • Strong analytical skills and the ability to determine root causes rather than accepting incomplete or outdated explanations.
  • Experience working in environments where processes, requirements, and ownership are not yet fully defined.
  • Ability to independently drive discovery, decisions, and follow‑through.
  • Willingness to work at both the strategic and detailed execution levels.
  • U.S. citizenship, including the ability to enter the federally governed Bloomington facility.
Preferred Qualifications
  • Semiconductor, high‑tech manufacturing, precision manufacturing, medical‑device, aerospace, automotive, or another highly regulated manufacturing background.
  • Experience with legacy‑system modernization, data classification, data security, access management, or data segregation.
  • Familiarity with SQL databases, data lakes, data warehouses, data marts, business intelligence, or AI/analytics environments.
  • Experience supporting mergers, acquisitions, divestitures, or environments requiring strict separation of customer and company data.
  • Experience working in a lean organization where individuals must operate across traditional role boundaries.
Success Profile

The strongest candidate will be hungry, curious, assertive, and comfortable asking difficult questions while remaining collaborative and professional. This person should know how to keep momentum moving, take sensitive conversations offline when appropriate, and continue pursuing answers until decisions are made. Candidates accustomed to highly specialized roles within very large, heavily staffed organizations may find the environment challenging; success will require rolling up one’s sleeves and personally driving the work.

Why This Opportunity

The organization operates at the forefront of semiconductor manufacturing, including quantum computing, military and commercial space technology, autonomous‑vehicle components, and medical‑device applications. The Data Business Analyst will help establish foundational data capabilities while supporting initiatives tied directly to manufacturing performance, customer protection, advanced analytics, and potentially significant business value.

Remarketing Process

Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6‑8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.

Benefits
  • Hollstadt offers medical, dental, vision, life insurance, short‑term disability, long‑term disability, paid sick leave, and retirement benefits to eligible employees.
  • Hollstadt offers on‑demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).
  • One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long‑term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.
  • We appreciate and reward loyalty. Join Hollstadt, stay for 5 years, and we’ll give you a $5,000 Longevity Award bonus! Additionally, we know great talent knows other great talent. If you are on contract with Hollstadt and refer one of your connections who gets placed, we’ll pay you $1,000!
  • We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a 'work buddy' to provide a safe ear for questions or concerns at your client site.
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