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Remote Data Optimization Jobs in Minnesota (NOW HIRING)

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... to be optimized and delivered in a series of personalized and programmable experiences. Our ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... to be optimized and delivered in a series of personalized and programmable experiences. Our ...

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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 organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

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 Minnesota? The most popular types of Data Optimization jobs in Minnesota are:
What job categories do people searching Remote Data Optimization jobs in Minnesota look for? The top searched job categories for Remote Data Optimization jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Optimization jobs? Cities in Minnesota with the most Remote Data Optimization job openings:
Senior Software Engineer (data engineering)

Senior Software Engineer (data engineering)

UnitedHealth Group

Eden Prairie, MN • Remote

$89K - $160K/yr

Full-time

Retirement

Posted 15 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

If you reside in the states of Minnesota and District of Columbia, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges. 

Primary Responsibilities:

  • Design and implement scalable ETL/ELT pipelines to ingest structured and unstructured data from various sources (e.g., APIs, logs, databases, user interactions)
  • Ensure data quality, consistency, and availability for bot training and real-time decision-making
  • Bot Data Integration:
    • Collaborate with bot developers to integrate data sources into conversational AI platforms (e.g., Amazon Lex, Dialogflow, Azure Bot Framework)
    • Enable bots to access contextual and personalized data during interactions
  • SRE/IT Support:
    • Monitor and maintain voice bot systems (e.g., Amazon Lex, Google Dialogflow, Azure Bot Service, Genesys,)
    • Troubleshoot issues related to bot performance, voice recognition, call routing, and backend integrations
  • Monitoring & Optimization:
    • Implement data logging and monitoring systems to track bot performance, user engagement, and data drift
    • Optimize data flows for latency, throughput, and cost efficiency
  • Collaboration & Governance:
    • Work closely with AI/ML, DevOps, and compliance teams to ensure secure and compliant data handling
    • Maintain documentation and data lineage for transparency and auditability
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making

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: 

  • Bachelor's degree
  • 8 years of experience in data engineering, preferably in AI environment
  • 5 years of experience in Python, SQL, and data pipeline tools (e.g., Apache Airflow, Spark or Kafka)
  • 5 years of experience with cloud platforms (AWS, GCP or Azure) and data warehousing solutions

Preferred Qualifications:     

  • Master's degree
  • Familiarity with NLP concepts and conversational AI technologies

*All Telecommuters 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 $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

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.

   

    

#RPO #YELLOW


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