2

Remote Oracle Data Engineer Jobs in Ashburn, VA (NOW HIRING)

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0248636 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

Data Engineer

Washington, DC · Remote

$120K - $160K/yr

SW Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None ... ORA_REMOTE Description SAIC is currently seeking a motivated, career and customer-oriented multi ...

New

Be Seen First

Senior Data Engineer

Washington, DC · Remote

$120K - $175K/yr

Highly preferred experience working with federal financial systems of record such as Oracle Delphi ... Company Description About YCG YCG is a fast-growing, remote-first technology company focused on ...

Be Seen First

Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Databricks Data Engineer - Databricks Certified We are seeking an experienced Databricks Data ... Work Environment This position is primarily remote , with limited onsite support required based on ...

Senior Data Engineer

VA · Remote

$140K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment  * Additional benefits like flexible hours, work travel ...

Data Migration & Conversion Specialist Job Category: Information Technology Time Type: Full time ... into Oracle Fusion Cloud HCM using HDL and HSDL. This position is primarily remote; however ...

New

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Leverage OCI GoldenGate and Azure Data Lake for data solutions * Implement monitoring, metrics, and ...

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Leverage OCI GoldenGate and Azure Data Lake for data solutions * Implement monitoring, metrics, and ...

Showing results 41-60

Remote Oracle Data Engineer information

See Ashburn, VA salary details

$22

$70

$98

How much do remote oracle data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote oracle data engineer in Ashburn, VA is $70.22, according to ZipRecruiter salary data. Most workers in this role earn between $63.17 and $78.65 per hour, depending on experience, location, and employer.

What are popular job titles related to Remote Oracle Data Engineer jobs in Ashburn, VA?

For Remote Oracle Data Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Oracle Data Engineer jobs in Ashburn, VA look for?

The top searched job categories for Remote Oracle Data Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Oracle Data Engineer jobs?

Cities near Ashburn, VA with the most Remote Oracle Data Engineer job openings:

Infographic showing various Remote Oracle Data Engineer job openings in Ashburn, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,056 per year, or $70.2 per hour.

Data Engineer II (Remote)

Arlington, VA • Remote

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees

$117K - $140K/yr

Full-time

Re-posted 5 days ago


Job description

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington

Interview: F2F

Assessment: Glider Data Engineering (Advanced)

Overview

seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse, transform and optimize it, and build reporting/dashboard solutions that deliver actionable insights to clients.

The ideal candidate will have strong hands-on experience with Spark, Hadoop, Python, and SQL, along with a background building scalable data pipelines and ETL solutions in large data environments.

Work Schedule

Monday Friday

9:00 AM 5:00 PM ET

Hybrid schedule (3 days onsite per week)

No travel required

Interview Process

Two rounds minimum

Hiring Manager

Team Interview

In-person interviews preferred

Top Required Skills

Apache Spark (PySpark, Spark SQL, Spark Streaming)

Hadoop Ecosystem (HDFS/Ozone, Hive, YARN)

Python

Level Required: Advanced

Key Responsibilities

Design, develop, and support enterprise-scale ETL processes and data pipelines.

Build scalable and efficient data processing solutions that ensure timely delivery of business-critical data.

Develop and optimize big data workflows using Apache Spark and Hadoop technologies.

Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.

Troubleshoot data issues and implement solutions that maintain data integrity and quality.

Support dashboard and reporting initiatives by delivering clean, transformed datasets.

Utilize SQL and database technologies to improve data processing performance and efficiency.

Participate in automation initiatives to streamline operational and data engineering processes.

Follow engineering best practices including code reviews, version control, testing, and data validation.

Ensure compliance with Mastercard internal policies and industry regulations.

Required Qualifications

Experience as a Data Engineer or similar data-focused role.

Strong SQL development and query optimization experience.

Hands-on experience with:

Apache Spark (PySpark, Spark SQL, Spark Streaming)

Hadoop ecosystem (HDFS/Ozone, Hive, YARN)

Python

Experience building and maintaining ETL pipelines.

Understanding of data modeling and database design principles.

Ability to troubleshoot and resolve complex data issues independently.

Experience validating and testing data for quality and consistency.

Strong written and verbal communication skills.

Bachelor's degree in Engineering, Mathematics, Finance, Business, Computer Science, or a related field (or equivalent practical experience).

Additional Details

Excellent opportunity to work on large-scale data platforms supporting global clients.

Target Profile: Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and are comfortable working in a large-scale analytics environment.