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Remote Data Optimization Jobs in Minneapolis, MN

Noblesoft Technologies

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Minneapolis, MN(Remote) * Design and deploy cloud-based infrastructure on Google Cloud Platform ... Manage and monitor cloud environments, ensuring their optimal performance, availability, and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Optimize report performance through query optimization, data model refinement, and DAX tuning

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Optimize report performance through query optimization, data model refinement, and DAX tuning

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Optimize report performance through query optimization, data model refinement, and DAX tuning

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by inclusion ... Come make an impact on the communities we serve as you help us advance health optimization on a ...

Legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Optimize report performance through query optimization, data model refinement, and DAX tuning

EnthuZiastic

Growth Hacker - Remote

Minneapolis, MN · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Plymouth, MN · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Minneapolis, MN

Remote Data Optimization information

See Minneapolis, MN salary details

$17

$59

$85

How much do remote data optimization jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote data optimization in Minneapolis, MN is $59.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $70.24 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting, updating, and managing data from a home environment. These roles often require basic computer skills, attention to detail, and familiarity with spreadsheet or database software. They are commonly offered by companies seeking flexible, part-time, or freelance workers.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are popular job titles related to Remote Data Optimization jobs in Minneapolis, MN? For Remote Data Optimization jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Minneapolis, MN look for? The top searched job categories for Remote Data Optimization jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Remote Data Optimization jobs? Cities near Minneapolis, MN with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Minneapolis, MN as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,346 per year, or $59.3 per hour.

GCP Data Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$117K - $140K/yr

Contractor

Re-posted 5 days ago

Job description

Job Title: GCP Data Engineer
Location: Minneapolis, MN(Remote)
Job Description:    
•     Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, etc.).
•    Manage and monitor cloud environments, ensuring their optimal performance, availability, and security.
•    Collaborate with development teams to create efficient and scalable cloud architectures.
•    Automate cloud operations using Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, etc.
•    Implement cloud security best practices to ensure data and application security.
•    Troubleshoot and resolve issues related to GCP services, applications, and infrastructure.
•    Provide cost optimization strategies and monitoring to ensure effective use of resources.
•    Stay up-to-date with the latest GCP technologies and recommend improvements based on emerging trends.
Perform regular backups, patching, and updates for cloud-based systems