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Remote Data Optimization Jobs (NOW HIRING)

EyeUniversal LLC

SEO Specialist (Remote)

San Diego, CA · Remote

Remote SEO Specialist at EyeUniversal LLC EyeUniversal is a Digital Agency based out of Southern ... Collect data and report on traffic, rankings and other SEO aspects * Work with social media and PPC ...

CSS, Inc

Geospatial Analyst

Charleston, SC · On-site +1

Locations vary, but typically allow for fully remote work within a defined geographic jurisdiction ... Ability to implement effective data quality assurance process, data optimization, and documentation ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Optimizing data systems and building them from the ground up. In your role, you will work with our ...

Intersect

Optimization Engineer

$217K - $237K/yr

Intersect develops, constructs, and operates the most ambitious power and data center ... our flexible remote culture. About This Role Intersect is building the integrated energy ...

Intersect

Optimization Engineer

Charleston, WV · Remote

$217K - $237K/yr

Intersect develops, constructs, and operates the most ambitious power and data center ... our flexible remote culture. About This Role Intersect is building the integrated energy ...

Pavago

SEO Specialist

Hours Position Type: Full-Time, Remote Working Hours: U.S. business hours (flexible for audits ... Implement schema markup (structured data) * Ensure content is: * SEO-friendly * High-quality and ...

Belami eCommerce

SEO & AI Discoverability Analyst

$85K - $100K/yr

Sacramento, CA 95826 Remote Status: Hybrid (2 days a week in office) Role Description: We are ... The ideal candidate should understand how enterprise ecommerce architecture, product data ...

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter SEO ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL ...

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL ...

BD&J

SEO Specialist (Remote)

Los Angeles, CA · Remote

$35 - $50/hr

SEO Specialist - REMOTE Based in Los Angeles, BD&J is California's leading personal injury law firm ... data across the web. Responsibilities include: * Take full ownership of the directory management ...

Tinuiti

SEO Strategist

$80K - $90K/yr

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Data Analysis & Reporting: Conduct thorough analysis of SEO performance data to generate insightful ...

Tinuiti

SEO Senior Specialist

OR · Remote

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Data Analysis & Reporting: Deliver comprehensive and insightful SEO reports to clients and internal ...

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All JobsRemote Data Optimization Jobs

Remote Data Optimization information

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$81

How much do remote data optimization jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote data optimization in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 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, 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.

More about Remote Data Optimization jobs
What cities are hiring for Remote Data Optimization jobs? Cities with the most Remote Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Remote Data Optimization jobs? States with the most job openings for Remote Data Optimization jobs include:
What job categories do people searching Remote Data Optimization jobs look for? The top searched job categories for Remote Data Optimization jobs are:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Snowflake Data Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 27 days ago

Job description

Key skills: Snowflake, Netezza, Datastage, Healthcare
Project role : Snowflake Data Engineer
Location: REMOTE
Duration: Full-Time
Job Summary:
We are seeking a Data Engineer with deep expertise in Data Warehousing, Cloud Technologies, and Snowflake, along with extensive experience in the Healthcare domain, particularly in Payer and Provider systems.
This role requires a combination of technical leadership, solution design, and hands-on expertise to develop scalable and compliant data architectures for enterprise healthcare solutions. Experience with IBM data warehousing technologies, including IBM NPS (Netezza Performance Server), IBM DataStage, and IBM Workload Scheduler (IWS) Jobs, is highly desirable.
Key Responsibilities:
Solution Architecture & Design:
Design and implement enterprise-scale data warehouse solutions using Snowflake and IBM Netezza (NPS) for healthcare data processing and analytics.
Develop secure, scalable, and HIPAA-compliant cloud-based architectures.
Define best practices, frameworks, and governance for healthcare data integration, interoperability, and analytics.
Architect solutions for payer and provider data management, including claims processing, eligibility verification, risk adjustment, and quality reporting.
Healthcare Data & Cloud Technologies Expertise:
Deep understanding of payer-provider ecosystems, including claims, billing, member enrollment, care management, and EDI transactions (837, 835, 270/271, etc.).
Design and optimize large-scale ETL/ELT pipelines using IBM DataStage and Snowflake for structured and unstructured healthcare data.
Implement FHIR, HL7, EDI, HIPAA, and SOC2-compliant data architectures.
Expertise in Snowflake's features like Snowpipe, Streams, Secure Data Sharing, and Data Cloning.
Experience in cloud migration strategies (AWS, Azure, GCP) and performance tuning of cloud-based healthcare data platforms.
Experience with IBM Workload Scheduler (IWS) Jobs for automating and orchestrating healthcare data workflows.
Collaboration & Leadership:
Work closely with healthcare business leaders, product managers, and IT teams to translate complex business needs into scalable solutions. Lead technical discussions, architectural reviews, and strategic roadmaps for payer and provider data ecosystems.
Mentor and guide junior architects, engineers, and data professionals in healthcare-specific data management best practices.
Onsite Client Engagement:
To engage with healthcare clients, payers, providers, and IT teams. Act as a trusted advisor to clients, driving value-based care initiatives, population health analytics, and claims data modernization.
Bridge communication gaps between business, compliance, and technical teams.
Required Skills & Qualifications:
10+ years of experience in Data Architecture, Cloud Technologies, and Solution Design.
Expert in Snowflake and IBM NPS (Netezza), including performance tuning, security, and healthcare data optimization.
Strong experience in cloud platforms - AWS, Azure, or GCP.
Extensive hands-on experience in IBM DataStage and IBM Workload Scheduler (IWS) Jobs for ETL and job automation.
Extensive experience in US healthcare, payer-provider data models, and regulatory frameworks (HIPAA, CMS, NCQA, ONC). Proficiency in SQL, Python, ETL/ELT tools (e.g., IBM DataStage, Matillion, Talend, Informatica).
Experience with healthcare analytics, predictive modeling, and reporting solutions.
Strong understanding of value-based care models, HEDIS, risk adjustment, and quality reporting.
Preferred Qualifications:
Snowflake Architect Certification.
Experience with FHIR, HL7, EDI transactions, and interoperability solutions.
Knowledge of IBM Netezza (NPS), DataStage, and IWS Job scheduling in a healthcare data environment.
Experience with real-time data streaming (Kafka, Spark Streaming, Databricks) in healthcare.
Experience in AI/ML-driven healthcare analytics.

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