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Remote Data Optimization Jobs in Wisconsin (NOW HIRING)

Sr Data Engineer - Remote

La Crosse, WI · Remote

$112K - $135K/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 ...

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets ...

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... including performance optimization and troubleshooting • Strong understanding of data ...

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to ... optimization and troubleshooting * Strong understanding of data visualization best practices ...

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... optimization and troubleshooting * Strong understanding of data visualization best practices ...

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

Knowledge of SEO best practices and how they are evolving. Responsibilities: This is an individual ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

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Remote Data Optimization information

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 is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps ensure faster data retrieval and better 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 is remote optimization?

Remote optimization in a data optimization role involves analyzing and improving data processes, storage, and workflows from a remote location. It often requires skills in data analysis tools, programming, and cloud-based platforms to enhance efficiency and accuracy without being on-site.

How can I make 2000 a week working from home?

A remote data optimization professional can earn $2,000 or more weekly by working on high-demand projects, optimizing large datasets, and utilizing skills in data analysis, SQL, and automation tools. Achieving this income level often requires experience, a strong portfolio, and the ability to handle multiple clients or projects simultaneously.

Is remote data entry a real job?

Remote data entry is a legitimate job that involves inputting, updating, and managing data from a remote location using computers and data management software. It often requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or database systems.

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

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.

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 the most commonly searched types of Data Optimization jobs in Wisconsin? The most popular types of Data Optimization jobs in Wisconsin are:
What are popular job titles related to Remote Data Optimization jobs in Wisconsin? For Remote Data Optimization jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Data Optimization jobs? Cities in Wisconsin with the most Remote Data Optimization job openings:
Sr Data Engineer - Remote

Sr Data Engineer - Remote

UnitedHealth Group

La Crosse, WI • Remote

$112K - $135K/yr

Full-time

Retirement

Posted 6 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 875 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

As a Sr Data Engineer on the Optum Serve team, you will be accountable for the entire data engineering lifecycle-including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. You will design, develop, and implement cross-domain, scalable, and secure data solutions that support critical health services for our federal, military, and state partners. This is an exciting remote opportunity to drive technical transformations, adopt modern cloud infrastructures, and deliver high-performance data systems that improve health service outcomes.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.     

Primary Responsibilities:

  • Take accountability for the entire data engineering lifecycle, including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance
  • Design, develop, implement, and run cross-domain, modular, flexible, scalable, secure, reliable, and high-quality data solutions that transform data for meaningful analyses and analytics while ensuring operability
  • Design, develop, implement, and run data solutions that improve data efficiency, reliability, and quality, ensuring they are performant by design
  • Layer in instrumentation in the development process so that data pipelines can be monitored, using measurements to detect internal problems before they result in user-visible outages or data quality issues
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize solutions, and rapidly respond to customer and production issues
  • Embrace continuous learning of engineering practices to ensure industry-best practices and technology adoption, including DevOps, Cloud, and Agile methodologies
  • Drive technical debt reduction and technical transformations, including open source adoption, cloud adoption, and HCP assessment and adoption
  • Contribute to enterprise inner-source and industry communities, striving to reuse and share components wherever possible across the organization
  • Maintain high-quality documentation of data definitions, transformations, and processes to ensure robust data governance and security

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 8 years of overall experience in software engineering and data engineering roles, with significant experience designing and delivering large-scale data platforms in enterprise environments
  • 5 years of experience with SQL Server, Oracle, or PostgreSQL database administration
  • 3 years of experience with database performance tuning and/or pipelines
  • 3 years of experience with database and/or enterprise monitoring software
  • 1 years of experience with Public Cloud Engineering (Azure preferred)
  • Solid hands-on experience with cloud-based data platforms (Azure and/or GCP), including data storage, processing, orchestration, and monitoring services
  • United States Citizenship

  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Engineering, or a related technical field, OR equivalent practical experience
  • Experience working within the healthcare industry or supporting government/military health programs (Optum Serve)
  • Experience contributing to internal or external open-source engineering communities
  • Excellent technical writing skills with experience documenting complex data definitions and governance standards
  • Proven track record of successful cloud migration (specifically to Azure or GCP)
  • Familiarity with DevOps principles, CI/CD pipelines, and Agile development thinking

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy 

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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