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Remote Data Optimization Jobs in New York (NOW HIRING)

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117K - $140K/yr

NYC, NY & Canada (Remote) Job Type: Contract Note: Need minimum 10+ years experience and recent ... This role focuses on data optimization, workflow automation, and ensuring reliable data operations ...

Collaborate with our technical and solutions partners as needed on data optimization and onboarding ... Eager to learn new technologies and adapt to evolving customer needs #LI-Remote Compensation The ...

Optimization Analyst

Brooklyn, NY · Remote

$85K - $105K/yr

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Identify opportunities to maximize data usage, applying modeling and optimization methods to ...

Strong analytical skills and ability to interpret data. * Proficient in SEO tools and software ... Screaming Frog or similar site audit tools Additional Information LOCATION Global (Remote) ROLE ...

Senior Data Analyst

New York, NY · On-site +1

$94K - $118K/yr

... database optimization Knowledge and Experience - Mastery of relational databases and SQL ... fully remote. * Communal transport facilities inside Dhaka and free catered lunch when we return.

Regional Sales Director

New York, NY · Remote

$350K - $380K/yr

Remote - New York Metro (Travel Required) Territory: New York City, Long Island, Westchester (to ... security data optimization. * Lead technical evaluations and proof-of-concepts alongside Sales ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

This role involves developing and optimizing data pipelines, implementing big data solutions, and ... remote team environment. Proficiency in English is essential for effective communication with ...

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... Proficiency in SQL -- window functions, CTEs, query optimization, execution plan analysis

... optimization, and other utility program offerings. * Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis ...

... optimization, and other utility program offerings. * Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis ...

This is a REMOTE position, candidates must be located in the US and will be required to work EST or ... Analyze performance data and help develop key insights for quarterly and annual business reviews ...

This is a REMOTE position, candidates must be located in the US and will be required to work EST or ... Analyze performance data and help develop key insights for quarterly and annual business reviews ...

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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 the most commonly searched types of Data Optimization jobs in New York?

The most popular types of Data Optimization jobs in New York are:

What cities in New York are hiring for Remote Data Optimization jobs?

Cities in New York with the most Remote Data Optimization job openings:

Infographic showing various Remote Data Optimization job openings in New York as of August 2026, with employment types broken down into 10% Internship, 79% Full Time, and 11% Contract. Highlights an 100% Remote job distribution.

EDI Data Engineer (Healthcare Domain)

Saransh Inc

New York, NY • Remote

$117K - $140K/yr

Contractor

Re-posted yesterday


Job description

Role: EDI Data Engineer – Healthcare Domain
Location: NYC, NY & Canada (Remote)
Job Type: Contract
 
Note: Need minimum 10+ years experience and recent lead expertise  
 
 
 
Summary:
  • The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence.
  • This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment
 
 
 
Minimum Qualifications:
  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
 
Responsibilities:
  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Optimize data systems for analytics and reporting
  • Ensure data quality and system reliability in production environments