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Remote Data Optimization Jobs in Washington (NOW HIRING)

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 ... Advanced SQL skills including complex JOINs, CTEs, window functions, query optimization, and ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... optimizing storage solutions, including schemas, partitioning, indexing, and data modeling to ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience working with SEO tools or keyword platforms * Experience collaborating in remote or ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience working with SEO tools or keyword platforms * Experience collaborating in remote or ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience working with SEO tools or keyword platforms * Experience collaborating in remote or ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience working with SEO tools or keyword platforms * Experience collaborating in remote or ...

Comcast

Principal Data Modeler Architect

Reston, VA · On-site +1

$167K - $251K/yr

... remote option.) Job Summary This job entails leading the development of software and web ... Snowflake Architecture - Strong knowledge of Snowflake data modeling, performance optimization ...

New

Comcast

Principal Data Modeler Architect

Reston, VA · On-site +1

$167K - $251K/yr

... remote option.) Job Summary This job entails leading the development of software and web ... Snowflake Architecture - Strong knowledge of Snowflake data modeling, performance optimization ...

New

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Data Management & Optimization * Collect, clean, and validate large volumes of structured and ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$100K/mo

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

System One

Technical Data Steward

Merrifield, VA · Remote

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract The Technical ... and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Washington

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 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?

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.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting, updating, and managing data from a home environment. These roles often require basic computer skills, attention to detail, and familiarity with spreadsheet or database software. They are commonly offered by companies seeking flexible, part-time, or freelance workers.

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 Washington?

The most popular types of Data Optimization jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Remote Data Optimization jobs?

Cities in Washington with the most Remote Data Optimization job openings:

Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Graph Data Scientist

Magnus Management Group LLC

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

We are seeking a Graph Data Scientist to develop advanced graph analytics supporting fraud investigations across complex federal programs. The successful candidate will leverage Neo4j, graph algorithms, and machine learning to identify hidden relationships, organized fraud rings, and emerging fraud patterns.
Responsibilities:
  • Shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices. 
  • Must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. 
  • Must have three (3) or more years of hands-on experience in statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. 
  • Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. 
  • Should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support large‑scale, high‑complexity networks, preferably within large federal benefit programs. 
  • Should have strong Python skills using standard machine learning libraries are required. 
Minimum Qualifications
  • Minimum 3 years using Neo4j or similar graph database. 
  • Minimum 3 years developing graph analytics for fraud detection. 
  • Experience with Cypher query language. 
  • Strong Python programming skills. 
  • Experience with graph algorithms including: 
    • Community Detection 
    • Centrality Measures 
    • Shortest Path 
    • Link Analysis 
    • Network Topology 
  • Experience with machine learning applied to graph data. 

This is a remote position.