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Data Optimization Jobs in Minnesota (NOW HIRING)

RICEFW Technologies, Inc.

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 ...

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

The Sr. Data Engineer, Microsoft Fabric & Power BI is responsible for designing, building, and optimizing the enterprise data infrastructure that powers business intelligence across IP Corporation.

Lorven Technologies

Data Analyst

Minneapolis, MN · On-site

Data Analyst Notes: Onsite Interview Required • 6 years of experience in Data Analysis • Strong ... optimizing queries for performance. • Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from disparate data sources for data analytics 3 years of experience ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Reviews existing data systems and architectures to identify areas for improvement and optimization. * Stakeholder Management: Collaborates with multi-functional data and advanced analytic teams to ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Reviews existing data systems and architectures to identify areas for improvement and optimization. * Stakeholder Management: Collaborates with multi-functional data and advanced analytic teams to ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Reviews existing data systems and architectures to identify areas for improvement and optimization. * Stakeholder Management: Collaborates with multi-functional data and advanced analytic teams to ...

Entegris

Senior Data Scientist

Chaska, MN · On-site

Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization ... Data Engineering & Data Architecture * Design, develop, and maintain analytical data models, views ...

3M

Sr Industrial Engineer, Optimization

Maplewood, MN · Hybrid

$43.75 - $60/hr

Your ability to analyze complex data, develop innovative solutions, and manage large scale projects ... Supply Chain Network Optimization : Lead and model network optimization scenarios, redesign ...

CYNET SYSTEMS

Business Data Analyst

Minneapolis, MN · On-site

$60/hr

Knowledge of data models and cloud platforms (SaaS/PaaS/IaaS). * Strong documentation ... Support database design and optimization across systems. * Act as liaison between business, IT, and ...

Syntricate Technologies

Azure Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

The role involves developing ETL processes and working with various relational databases while ensuring data quality and optimizing data pipelines. Qualifications : Required : • 5+ years of Data ...

KAPITAL

Power BI Data Analyst

Minneapolis, MN · On-site

... optimizing models for performance • Advanced T-SQL skills for query design, tuning, and data validation • Demonstrated success delivering real-time or streaming Power BI solutions (DirectQuery ...

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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 Architect

RICEFW Technologies, Inc.

Saint Paul, MN • On-site

$64.50 - $83/hr

Contractor

Re-posted 3 days ago

Job description

Hello,
A job with the title Database Developer is shared with you. Please find the below job details and to view the complete details, click on this URL -> Click here .
Job Code JOB ID - 46656 Job Title Data Architect Location Saint Paul, MN (Hybrid) Client State of MN Client Job ID
MNSITE-3831
Job Description
Description of Project
The Minnesota Department of Information Technology Services ("MNIT") partnering with the Department of Children, Youth, and Families ("DCYF") (collectively "State") is seeking one full-time Database Architect. The State has an initiative to modernize the child welfare information system environment through the implementation of a Comprehensive Child Welfare Information System ("CCWIS"). For additional background, the State plans to hire a DDI vendor to implement a solution. In preparation for the DDI solution, the State is planning to consolidate the data from the 87 county databases into a centralized data lake that the new solution will utilize.
As an Azure Database Architect, this position will participate in the analysis and design, and support development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves. The responsibilities will include designing, administering, maintaining, and securing data to ensure efficient and reliable data storage solutions. The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments. This position also will provide mentorship to other architects and database engineers.
Sample Tasks
  • Support design and implementation to improve, modernize, and transform data-driven service delivery.
  • Ensure data assets are structured, accessible, secure, and align with DCYF, MNIT, and Enterprise goals.
  • Recommend data platforms and tools to support enterprise data architecture.
  • Develop data models.
  • Ensure data access patterns are optimized.
  • Maintain necessary documentation.
  • Coordinate with necessary teams to meet security standards.
  • Support design and development of disaster recovery solutions.
  • Provide knowledge transfer.

Desired Qualifications
  • Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
  • Strong experience with Databricks.
  • Strong experience with Oracle databases.
  • Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
  • Experience coding and testing programs and scripts to load data using Azure data load utilities.
  • Experience with CI/CD pipelines.
  • Experience with cloud computing concepts.
  • Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
  • Experience in mentoring others in the needed technologies.
  • Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
  • Experience with role-based access control, encryption, and network security.
  • Strong organizational and time management skills.
  • Desired 10 years' experience in data architecture or data management.
  • Knowledge of data concepts, data modeling, schema design, and indexing strategies.
  • Knowledge of Azure SQL instances, managed instances, and elastic pools.
  • Knowledge of Data Warehouse Administration and Teradata Data Warehouse.

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