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Remote Data Optimization Jobs in West Virginia (NOW HIRING)

Sr. Data Engineer

Charleston, WV · On-site +1

$106K - $127K/yr

Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development ... query optimization. * 5+ years of professional experience developing scalable solutions using ...

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 ...

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 ...

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 ...

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 ...

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 ...

Company Description Experian is a global data and technology company, powering opportunities for ... You will lead cross-channel demand generation efforts, guide experimentation and optimization, and ...

$58.25 - $76.75/hr

Company Description Experian is a global data and technology company, powering opportunities for ... Experience designing scalable, resilient, and cost-optimized Java architectures for high-volume ...

Company Description Experian is a global data and technology company, powering opportunities for ... optimization * Experience architecting distributed systems and services that sustain high ...

Receiving and storing data from remote devices * Optimizing data usage in protocol design * General Engineering Tools * Git, Bash, Unix, etc. * Misc * Experience working remotely, independently ...

... accurate data handling and reporting optimization. 2. Collaboration and Communication ... Ensure Reliable Remote Communication: Maintain consistent communication with the team for seamless ...

TPA core services Sr. DBA

WV · On-site +1

$107K - $109K/yr

Data Standards, Data Systems, Federal Healthcare Certifications: None Experience: 5 + years of ... Lead administration, tuning, maintenance, and optimization of databases that support ...

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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 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.

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 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 remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What are popular job titles related to Remote Data Optimization jobs in West Virginia?

For Remote Data Optimization jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Optimization jobs in West Virginia look for?

The top searched job categories for Remote Data Optimization jobs in West Virginia are:

Infographic showing various Remote Data Optimization job openings in West Virginia as of August 2026, with employment types broken down into 11% Internship, 77% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Sr. Data Engineer

Charleston, WV • On-site, Remote

OneOncology
Health Care and Social Assistance • 1 - 5K employees

$106K - $127K/yr

Full-time

Posted 16 days ago


OneOncology rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.

Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.

Job Description:

OneOncology is seeking a strong Sr.Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development team is a small group and the person filling this role will be an integral part of it. All team members are individually motivated, yet collaborative. We maintain a high degree of accountability, are extremely productive and believe in enjoying our time at work.

The ideal candidate is a hands-on platform builder with extensive experience in developing scalable software and data platforms. The Sr. Data Engineer engages directly with IT management, development teams, technical delivery teams, and vendors to ensure the successful design, development, and delivery of technology-based solutions. They thrive in an agile environment, demonstrate strong initiative, and communicate effectively across teams.

Responsibilities:

  • Design & implement robust, componentized, and scalable data processes to that enhance and expand our business intelligence platform

  • Rapidly gain proficiency with big data and cloud technologies, leveraging them to build, optimize, and analyze large-scale data solutions.

  • Translate complex business requirements into clear technical deliverables, proactively identifying dependencies, risks and potential roadblocks.

  • Deliver high-quality, maintainable code efficiently, following best practices for version control, testing and deployment.

  • Collaborate with stakeholders to gather requirements, assess technical needs, and design solutions aligned with business objectives.

  • Continuously identify & implement improvements to optimize data pipelines, system performance & overall process efficiency.

  • Mentor and teach team members on modern data engineering concepts, industry standards, and internal best practices.

  • Demonstrate adaptability in a dynamic environment, effectively prioritizing work as requirements and priorities evolve.

  • Troubleshoot and resolve complex issues, maintaining system stability and minimizing disruptions to operations.

  • Take ownership of code, architecture, and documentation, communicating implementation details clearly to technical and non-technical audiences.

  • Document processes

  • Stay current with emerging technologies and industry standards, applying best practices in healthcare data engineering & development.

  • Additionalresponsibilitiesasassigned to help drive our mission of improving the lives of everyone living with cancer.

RequiredQualifications:

  • 8+ years of hands-on experience with SQL development.

  • 8+ years of experience working with relational and non-relational databases, with a strong foundation in data modeling, schema design, and query optimization.

  • 5+ years of professional experience developing scalable solutions using Python or a similar object-oriented language.

  • Proficient in Databricks, Spark, and Delta tables; experience with large-scale distributed data processing preferred.

  • Solid understanding of Lakehouse and Medallion architectures.

  • Experience designing Data Integration/ETL pipelines using Azure Data Factory or equivalent.

  • Extensive experience deploying and managing solutions in cloud environments (preferably Microsoft Azure), including monitoring, cost optimization, and data security.

  • Strong understanding of Object-Oriented Design (OOD) principles and software engineering best practices.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent work experience.

EssentialCompetencies:

  • Demonstrated ability to design and implement scalable, reliable data ecosystems.

  • Demonstrated expertise in building and maintaining robust, automated data pipelines.

  • Skilled in implementing instrumentation, logging, and alerting strategies to ensure data reliability and observability.

  • Proactive and analytical problem-solving skills with the ability to troubleshoot and optimize complex data workflows.

  • Attendance is an essential job function.


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