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Remote Data Optimization Jobs in Washington (NOW HIRING)

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113.50K - $136.30K/yr

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

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122.60K - $147.20K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122.60K - $147.20K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments ... for optimal business operations and services, ensuring efficiency and increased productivity.

Harmonia Holdings Group, LLC.

Data Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Remote Terms: Full-time Travel: 0% Project Description This position supports Revolutional ... optimizing data pipelines and data services that support cybersecurity operations. This is an ...

Revolutional, LLC

Data Engineer

Mclean, VA · Remote

$115.70K - $139K/yr

Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to ... optimizing data pipelines and data services that support cybersecurity operations. This is an ...

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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 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 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 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 May 2026, with employment types broken down into 61% Full Time, 15% Part Time, 8% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.
Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Advantech GS Enterprises, Inc.

Fort George G Meade, MD • Remote

$127K - $152.50K/yr

Contractor

Posted yesterday

Job description

Data Cloud Engineer Location: Fort Meade, MD (remote)
Company: Advantech GS Enterprises Program: DISA NEXUS
Clearance Required: Active Secret Clearance
Employment Type: Full-Time
Bonus: $1,000 Sign-On Bonus Position Overview Advantech GS Enterprises is seeking a highly skilled Data Cloud Engineer to support the DISA NEXUS program at Fort Meade. This role will focus on designing, building, and maintaining scalable cloud-based data solutions supporting enterprise modernization and mission-critical analytics within secure DoD environments. The ideal candidate will have strong experience developing production-grade data pipelines within Azure and/or AWS cloud environments, with expertise in PySpark, Spark SQL, Python, and modern data engineering best practices. This position offers the opportunity to contribute to a long-term federal modernization effort centered around multi-cloud integration, secure data architecture, and advanced analytics capabilities. Key Responsibilities
Design, develop, and maintain scalable cloud-based ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related technologies
Build and optimize large-scale data transformations using PySpark and Spark SQL, applying best practices for partitioning, query optimization, and performance tuning
Develop and support data ingestion frameworks for both structured data (relational tables, CSV files) and unstructured data (JSON, nested structures, REST API integrations)
Implement full and incremental data loading strategies, including change data capture (CDC), late-arriving record handling, and rerunnable pipelines
Design and maintain cloud-based data lakes, warehouses, and analytics-ready datasets supporting enterprise reporting and operational decision-making
Implement data quality and governance controls including schema validation, schema enforcement, schema drift handling, RBAC, lineage, cataloging, and credential management
Monitor and troubleshoot pipelines for latency, failures, logging, alerting, and operational reliability
Support CI/CD pipeline implementation for automated deployments, rollback strategies, and environment promotion processes
Collaborate with cybersecurity and cloud engineering teams to ensure compliance with RMF, STIG, FedRAMP, and DoD security standards
Utilize Oracle databases and cloud-native tools to support data migration, integration, and modernization initiatives
Support Agile development efforts and collaborate with DevOps and software engineering teams across the program lifecycle
Required Qualifications
Active Secret Clearance required
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical field
5+ years of recent experience designing and operating scalable, production-grade data pipelines using Azure Synapse Analytics and/or Databricks
Strong hands-on experience with PySpark and Spark SQL for large-scale transformations and optimization
Advanced proficiency in Python and SQL for data querying, automation, and analysis
Experience ingesting and integrating structured and unstructured datasets from databases, flat files, REST APIs, and external systems
Experience implementing full and incremental load strategies including CDC concepts and rerunnable pipeline architectures
Experience with data quality controls including schema validation, enforcement, and schema drift handling
Experience with pipeline monitoring, logging, alerting, and operational support
Experience implementing CI/CD pipelines and automated deployment processes
Knowledge of data governance and secure access management concepts including RBAC and credential management
Hands-on experience with Azure and/or AWS cloud data services such as Azure Synapse, Azure Data Factory, Databricks, AWS Glue, Redshift, and S3

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