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Full Time Remote Big Data Jobs in Reston, VA (NOW HIRING)

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Identify trends and problems through complex big data analysis. Maintain current in emerging tools ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

VTG

Software Engineer

Chantilly, VA · Remote

Design, build, and operate large-scale Big Data systems, including persistence, partitioning ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

ICF

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

Big Data Technologies - Experience beyond Spark with distributed systems * Experience with ... The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 ...

Forterra

Staff Data Engineer

Arlington, VA · On-site +1

$145K - $175K/yr

Big Data/IoT Data experience. * Experience working with unstructured data. * Experience working ... Equity in Forterra is included in most of our full-time, high-demand roles and is therefore ...

NT Concepts

Data Scientist

Herndon, VA · On-site

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

... big data analytics, and all-source research and analysis. Our technical capabilities directly ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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All JobsFull Time Remote Big Data JobsFull Time Remote Big Data Jobs in Reston, VA

Full Time Remote Big Data information

See Reston, VA salary details

$16

$65

$91

How much do full time remote big data jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for full time remote big data in Reston, VA is $65.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $73.80 per hour, depending on experience, location, and employer.

What is the difference between Full Time Remote Big Data vs Full Time Remote Data Engineer?

AspectFull Time Remote Big DataFull Time Remote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's in CS, Software Engineering; experience with ETL, cloud platforms
Work EnvironmentRemote, collaborative teams, data analysis focusRemote, development-focused, infrastructure setup
Industry UsageTech, finance, healthcare, retailTech, finance, consulting, e-commerce

Full Time Remote Big Data roles focus on managing and analyzing large datasets using tools like Hadoop and Spark, often emphasizing data processing and analytics. Full Time Remote Data Engineers build and maintain data pipelines, focusing on infrastructure, ETL processes, and cloud platforms. While both roles require similar technical credentials and often operate remotely, their core responsibilities differ: Big Data roles analyze data, whereas Data Engineers develop the systems that enable data analysis.

How can I make 2000 a week working from home?

A full-time remote Big Data professional can earn $2,000 or more weekly by leveraging high-demand skills such as data engineering, analytics, and proficiency with tools like Hadoop or Spark. Achieving this income typically requires extensive experience, specialized certifications, and working on complex projects for clients or employers who pay competitive rates.

How can I make $100,000 a year working from home?

A full-time remote Big Data professional can reach a $100,000 annual salary by gaining expertise in data engineering, analytics, or machine learning, often requiring skills in SQL, Python, and cloud platforms like AWS or Azure. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand areas can help achieve this income level while working remotely.

Is 30 too late for data science?

For a full-time remote big data role, age is generally not a barrier; many professionals transition into data science or big data roles at various ages. Success depends on skills, experience, and continuous learning in tools like Hadoop, Spark, and Python. Age should not deter pursuing a career in data science or big data fields.

What jobs can I do 100% remotely?

Full Time Remote Big Data roles typically involve data analysis, data engineering, or data science positions that can be performed entirely online. These jobs often require skills in programming, cloud platforms, and data management tools, and they allow employees to work from any location with internet access.
What are popular job titles related to Full Time Remote Big Data jobs in Reston, VA? For Full Time Remote Big Data jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Full Time Remote Big Data jobs in Reston, VA look for? The top searched job categories for Full Time Remote Big Data jobs in Reston, VA are:
What cities near Reston, VA are hiring for Full Time Remote Big Data jobs? Cities near Reston, VA with the most Full Time Remote Big Data job openings:
Full Time Remote Big Data jobs near you
Infographic showing various Full Time Remote Big Data job openings in Reston, VA as of June 2026, with employment types broken down into 2% As Needed, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,287 per year, or $65.5 per hour.
Big Data Engineer Senior

Big Data Engineer Senior

SAIC

Arlington, VA • Remote

$64.25 - $84.75/hr

Full-time

Posted 20 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services

Job description

Job ID: 2613397

Location: Arlington, VA, US

Date Posted: 2026-06-05

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI platform. Roles include managing customer relationships, service portfolio and catalog management, software engineering & development, data/AI engineering, IT systems operations, and use case intake and analytics for DoW enterprise-scale mission objectives expected in Spring/Summer 2026. 

Positions are contingent pending contract award.

Place of Performance: The work will be performed in Arlington, Virginia. Some work may be performed remotely, subject to Government approval.

Job Responsibilities:  

  • Design, build, and maintain the core WDP data infrastructure and pipelines using agentic workflows to streamline operations and enhance automation.  
  • Ensure the scalability, reliability, and security of the platform to support data ingestion, processing, storage, and transformation for various consumers, including data tooling teams.
  • Build and operate data pipelines and Lakehouse solutions leveraging AWS (e.g., S3, Glue, Lake Formation, EMR, Kinesis, Redshift, Athena, Lambda, IAM) and Databricks (e.g., Delta Lake, Unity Catalog, Delta Live Tables, Apache Spark) within an AWS GovCloud environment.
  • Develop enterprise data products accessible via a modern data marketplace, implement a medallion architecture for data storage (bronze, silver, gold zones), and establish self-service inbound and outbound data connection methods.
  • Implement data quality monitoring tools, proactive alerting for pipeline issues, and data drift detection mechanisms.
  • Enforce data security policies, optimize infrastructure for performance and scalability, ensure data backup and recovery, and implement robust data governance policies.
  • Document pipelines, models, and governance standards while ensuring compliance with data privacy and security regulations.
  • Design and develop solutions to complex applications problems, system administration issues, or network concerns.  
  • Perform systems management and integration functions. 

Qualifications

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • TS/SCI Clearance is required.
  • Required Certification: CompTIA Security+ (CE).

Knowledge, Skills, Abilities, and Competencies:

  • Data Architecture & Engineering
    • Expertise in data architecture and medallion data storage frameworks (bronze, silver, gold zones).
    • Proficiency in developing and managing enterprise data products and marketplaces.
    • Hands-on experience designing and operating enterprise data platforms using AWS (S3, Glue, Lake Formation, EMR, Redshift, Kinesis, Athena, Lambda, IAM) for data lake/medallion storage, ingestion, ETL, and governance.
    • Proven experience building and managing data pipelines on the Databricks Lakehouse Platform, including Delta Lake (medallion architecture), Unity Catalog (governance, lineage, access control), and Delta Live Tables for declarative pipeline development and data quality enforcement.
    • Proficiency with Apache Spark (PySpark/Scala/SQL) for large-scale data processing and transformation.
  • Data Quality & Governance
    • Ability to implement and maintain data quality monitoring tools, including proactive alerting and data drift detection (e.g., DLT expectations, Lakehouse Monitoring).
    • Knowledge of data backup, recovery, and robust governance protocols.
    • Skill in documenting data pipelines, models, and governance standards.
    • Familiarity with compliance requirements for data privacy and security regulations.
  • Security & Infrastructure
    • Strong understanding of data security policies and practices, including encryption (KMS), least-privilege IAM, and secure networking constructs.  
    • Familiarity with deploying and operating workloads within AWS GovCloud (US) and DoD security boundaries (IL4–IL6).
    • Experience optimizing infrastructure for performance and scalability.
    • Familiarity with Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation for repeatable, secure provisioning.
  • Soft Skills
    • Effective communication and collaboration skills for cross-functional teamwork.
    • Analytical and problem-solving abilities for troubleshooting and resolving technical challenges.
  • Preferred Certifications
    • The following certifications are considered a plus:
    • AWS
      • AWS Certified Data Engineer – Associate.
      • AWS Certified Solutions Architect – Associate or Professional.
      • AWS Certified Security – Specialty.
    • Databricks
      • Databricks Certified Data Engineer Associate.
      • Databricks Certified Data Engineer Professional.
      • Databricks Certified Apache Spark Developer. 

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