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Data Optimization Jobs in Minnesota (NOW HIRING)

Fair State Capital LP

Data Engineer

Minneapolis, MN · On-site

$75K - $105K/yr

Day-to-day tasks include developing and optimizing ETL processes, managing data models and data warehouses, and ensuring data quality and reliability across multiple internal and external data ...

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

You will participate in the full software development lifecycle, including design, implementation, testing, deployment, and ongoing optimization of data and measurement systems. This role is hybrid ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies. * Assesses the effectiveness and accuracy of new data sources and ...

OP Consulting Group LLC

Data Architect

Saint Paul, MN · On-site

$64.50 - $83/hr

Ensure data access patterns are optimized. * Maintain necessary documentation. * Coordinate with necessary teams to meet security standards. * Support design and development of disaster recovery ...

Stantec

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Lead the enhancement, tuning, retraining, and optimization of production machine learning models ... Partner closely with Data Engineers to support data pipelines, feature engineering, and model ...

Maurices

Markdown Optimization Analyst

Duluth, MN · Hybrid

$55K - $65K/yr

The Markdown Optimization Analyst is responsible for analysis and execution support of markdown ... Mines and translates data into meaningful insights and recommendations Promotion Support * Supports ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Optimize report performance through query optimization, data model refinement, and DAX tuning * Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Optimize report performance through query optimization, data model refinement, and DAX tuning * Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Optimize report performance through query optimization, data model refinement, and DAX tuning * Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and ...

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All JobsData Optimization JobsData Optimization Jobs in Minnesota

Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are the most commonly searched types of Data Optimization jobs in Minnesota?

The most popular types of Data Optimization jobs in Minnesota are:

What are popular job titles related to Data Optimization jobs in Minnesota?

For Data Optimization jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Optimization jobs in Minnesota look for?

The top searched job categories for Data Optimization jobs in Minnesota are:

What cities in Minnesota are hiring for Data Optimization jobs?

Cities in Minnesota with the most Data Optimization job openings:

Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Fair State Capital LP

Minneapolis, MN • On-site

$75K - $105K/yr

Other

PTO

Posted 4 days ago

Job description

Company Description

Fair State Capital LP (“Fair State Capital”) is a Minneapolis-based alternative investment manager specializing in mortgage-related investments. Fair State Capital utilizes analytical expertise and operational capabilities to capture value and produce attractive risk-adjusted returns to investors.


Position Overview

The Data Engineer is a full-time, on-site role based in Minneapolis, MN. This role is responsible for designing, building, and maintaining data pipelines that support investment research, portfolio monitoring, and business operations. Day-to-day tasks include developing and optimizing ETL processes, managing data models and data warehouses, and ensuring data quality and reliability across multiple internal and external data sources. The Data Engineer collaborates with investment, analytics, and operations teams to understand data requirements and deliver scalable solutions, while continuously improving performance, security, and documentation of the data infrastructure.


Responsibilities

  • Develop and deploy a complex data warehouse platform to process and analyze large volumes of data.
  • Design, develop, and deploy reports and GUI applications using Power BI and SQL Server Reporting Services (SSRS).
  • Build and manage server administration and a Cloud-based infrastructure. Build and manage multiple database environments for progressive development, testing, and production of analytical data solutions.
  • Create solutions with event-based technologies to ingest and process data; build and operationalize data solutions, identify data anomalies, apply transformations, and recommend data cleansing/quality solutions.
  • Work with structured and/or unstructured data; optimize jobs for performance and scalability to handle big data workloads.
  • Monitor and troubleshoot jobs, identify and resolve issues or bottlenecks.
  • Implement best practices for data management, security, and governance within the environment.
  • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
  • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
  • Perform other duties and special projects as assigned.


Required Qualifications

  • Bachelor’s degree in computer science, information systems, data engineering, or a related technical field.
  • 1-3 years of experience in data engineering, database development, or a related field.
  • Proficient in developing programs Python, MySQL/SQL, C++, or Java; SQL Server based development of large datasets as well as developing/deploying ETL programs.
  • Experience in building sustainable solutions using multiple data sources from various entities on a daily, weekly and monthly basis.
  • Must be presently legally authorized to work in the United States for any U.S. employer now or in the future.
  • This position is not eligible for employment-based visa sponsorship.


Compensation & Benefits

The expected annual base salary range for this position is USD $75,000 - $105,000. Within the range, individual pay is determined by job-related factors, including but not limited to education and skills, and is commensurate with experience. Additional compensation and benefits include a discretionary bonus and flexible paid time off.


Proterra is an equal employment opportunity employer


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