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Data Science Jobs in Austin, MN (NOW HIRING)

Mastech Digital

Senior Data Engineer

Austin, MN · On-site

$117K - $164K/yr

We are currently seeking a Senior Data Engineer for our client in the Manufacturing domain. We ... Bachelor's degree in Computer Science, Electrical/Electronic Engineering, Information Technology or ...

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WM

Gas Operations Supervisor

Lake Mills, IA · On-site

On a routine basis, collect and manage data entry from wellfield extraction and environmental ... Bachelor's degree in Environmental Science, Physical Science, Biology, or Chemistry (or related ...

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All JobsData Science JobsData Science Jobs in Austin, MN

Data Science information

See Austin, MN salary details

$36.5K

$119.5K

$191.3K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Austin, MN is $119,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $132,400.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What cities near Austin, MN are hiring for Data Science jobs? Cities near Austin, MN with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Austin, MN as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $119,513 per year, or $57.5 per hour.
Staff Data Engineer/Data Engineer - IT (Sales & Marketing) Hormel Foods (Austin, MN, Willmar, MN,...

Staff Data Engineer/Data Engineer - IT (Sales & Marketing) Hormel Foods (Austin, MN, Willmar, MN,...

Columbus Craft Meats

Austin, MN • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

STAFF DATA ENGINEER/DATA ENGINEER - IT (Sales & Marketing) - HORMEL FOODS (AUSTIN, MN, WILLMAR, MN, EDEN PRAIRIE, MN)

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.

Hormel Foods Corporation 

ABOUT HORMEL FOODS - Inspired People. Inspired Food.

Hormel Foods Corporation, based in Austin, Minn., is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include SKIPPY, SPAM, Hormel Natural Choice, Applegate, Wholly, Hormel Black Label, Columbus and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named on the "Global 2000 World's Best Employers" list by Forbes magazine for three straight years, is one of Fortune magazine's most admired companies, has appeared on Corporate Responsibility Magazine's "The 100 Best Corporate Citizens" list for the 12th year in a row, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement - Inspired People. Inspired Food. - to bring some of the world's most trusted and iconic brands to tables across the globe. For more information, visit www.hormelfoods.com and http://csr.hormelfoods.com/.

Summary: 

We are looking for a Staff Data Engineer within the Sales and Marketing domain as part of our Data and Analytics team.  This is an exciting opportunity to help grow and modernize analytics at Hormel Foods!  The ideal candidate will have strong communication skills and the ability to collaborate across multiple levels of the organization. You will manage multiple initiatives that require creative problem-solving. 

You will use tools such as Google Cloud Platform, SQL, Python, Incorta, Oracle Business Intelligence, and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics. Additionally, you will engineer reports, dashboards and visualizations using enterprise business intelligence tools (Oracle, Power BI and Tableau).

Specific competencies include:

  • Data Structures and Models - Develops the overall database/data warehouse structure based on functional and technical requirements. Develops data collection frameworks for mainly structured and sometimes unstructured data. 
  • Data Pipelines and ELT - Applies data extraction, loading and transformation techniques in order to connect medium to large data sets from a variety of sources.
  • Data Performance - With minimal guidance, troubleshoots and fixes for data performance issues that come with querying and combining medium to large volumes of data. Tests for scenarios affecting performance during initial development.
  • Visualizations and Dashboards - Designs and develops reports and dashboards that meet business needs. Leverages visualizations when possible to increase speed to identifying an insight.

Responsibilities:

  • Collaborate with Sales & Marketing team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.
  • Develop the overall database/data warehouse structure based on functional and technical requirements.
  • Engineer physical and logical data models for dimensions and facts within the staging, warehouse, and semantic layers of enterprise data warehouses and platforms.
  • Performance tune SQL, Python, Incorta, or Informatica ETL pipelines, as well as Google BigQuery Dataprocs to move data from various source systems and file types into dimensional data models.
  • Utilize SQL within Google BigQuery, Informatica ETLs, Incorta pipelines, or Oracle SQL Views to achieve proper metric calculations or derive dimension attributes.
  • Engineer schedule and orchestration for batch and mini-batch data loads into enterprise data warehouses and platforms.
  • Provide issue resolution and maintenance for various business unit solutions existing in enterprise data warehouses and platforms.
  • Use tools such as SQL, Oracle Business Intelligence, Power BI, Tableau, Google Cloud Platform, Python, Incorta, and Informatica ETL to engineer data pipelines and models to enhance enterprise reporting and analytics.
  • Engineer dashboards within enterprise business intelligence platforms containing reports and visualizations with intelligent user interface design and flow for the business, ensuring adequate performance.

Required Qualifications:

  • Bachelor's degree in Computer Science, MIS, or related area with experience in business intelligence, data engineering, and data modeling.
  • 4+ years of experience with reading and writing SQL.
  • 3+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.
  • 3+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.
  • 3+ years of experience with data enablement for a Point of Sale or Syndicated Consumption platforms. Preferably, Circana. 
  • Ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.
  • Excellent written and verbal communication skills.
  • Excellent organizational and time management skills.
  • Tested problem-solving and decision-making skills.
  • Strong pattern of initiative.
  • Strong interpersonal skills.
  • Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.
  • Applicants must be authorized to work in the United States for any employer. 

Preferred Qualifications:

  • Advanced SQL reading and writing skills.
  • Experience developing data pipelines and queries within Google Cloud Platform (Google BigQuery) and/or Oracle Databases.
  • Experience engineering within a data warehouse or related experience with dimensional data modeling.
  • Experience tuning SQL and ETLs.
  • Proven ability to gather detailed technical requirements to design and develop business intelligence report solutions from beginning to end.
  • Experience with Sales/Marketing/Consumption data.
  • Experience with syndicated consumption providers or retailer-focused Point of Sale platforms.
  • Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage.
  • Experience with Oracle SQL including advanced functions like analytical functions.
  • Experience tuning complex SQL and ETLs.
  • Experience within a core metadata model (RPD) including the physical, logical, and presentation layers for the enterprise business intelligence platform (OBIEE - Oracle Business Intelligence Enterprise Edition).

LOCATION: Austin, MN - Global Headquarters (Preferred). Secondary locations: Willmar, MN and Eden Prairie, MN 

TRAVEL REQUIREMENTS: Travel may be necessary 10% of the time.

BENEFITS: Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, 401(k) immediate eligible, stock purchase plan, relocation assistance, paid personal time (PTO), FREE two-year community/technical college tuition for children of employees, and more.

At Hormel Foods, base pay is one part of our total compensation package and is determined within a range.  The base hiring pay range for this role is between $86,500-$137,300 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.  

At Hormel we invite difference and diversity in all aspects.  We offer a space of support, understanding, and community.  We are committed to the journey!  Learn more about our progress here: https://www.hormelfoods.com/about/diversity-and-inclusion/

Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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