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Data Engineer Hybrid Jobs in Virginia (NOW HIRING)

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

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 ...

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

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 ...

Data Engineer Expert

Herndon, VA · Hybrid

$117K - $141K/yr

... hybrid cloud environments • AWS Certified Security - Specialty certification preferred ... as a Data Engineer or Systems Engineer supporting data environments • Experience integrating ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0239070 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Aurora, Colorado, USA Data Engineer The Opportunity: Ever-expanding technology and collection ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

R0246480 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position: Full-Time, Permanent Security Clearance: DoD Secret Clearance Required (Ability to obtain) Experience: 3+ years, $90,000 - $170 ...

Data Engineer

Quantico, VA

$123K - $148K/yr

Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with message queuing, stream ...

Data Engineer

Springfield, VA · On-site

$110K - $165K/yr

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite with the potential for up to 5 days onsite primarily at our Springfield, VA ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... The Data Engineer is the bedrock of intelligence operations, responsible for turning raw ... Hybrid work environment (MWF in-person in our Reston office) * A collaborative and innovative work ...

Data Engineer

Reston, VA

$119K - $143K/yr

... The Data Engineer is the bedrock of intelligence operations, responsible for turning raw ... Hybrid work environment (MWF in-person in our Reston office) * A collaborative and innovative work ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... and hybrid environments • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines • Familiarity with message queuing, stream processing, and real-time data integration ...

Showing results 21-40

Data Engineer Hybrid information

How does working in a hybrid Data Engineer role impact team collaboration and project delivery?

In a hybrid Data Engineer role, team collaboration often involves a mix of remote and in-person interactions, which can enhance flexibility but also requires clear communication and effective use of collaboration tools. Data Engineers typically coordinate closely with data scientists, analysts, and IT teams to design and maintain data pipelines, regardless of work location. Project delivery may require scheduled on-site meetings for brainstorming or troubleshooting, but much of the individual development work can be completed remotely. Adapting to this environment means being proactive in communication and leveraging project management platforms to ensure alignment and timely delivery.

What is a Data Engineer Hybrid?

A Data Engineer Hybrid is a professional who designs, builds, and manages data infrastructure, and works both on-site and remotely. They are responsible for creating data pipelines, maintaining databases, and ensuring data quality and accessibility for analytics or business needs. The 'hybrid' aspect refers to their flexible work environment, combining office and remote work. Data Engineer Hybrids often collaborate closely with data scientists, analysts, and other IT professionals to enable effective data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Data Engineer Hybrid?

To thrive as a Data Engineer Hybrid, you need strong programming skills (such as Python or Java), expertise in database management, and a solid understanding of data architecture and ETL processes, usually backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), data warehousing tools (such as Snowflake or Redshift), and certifications in big data or cloud technologies are highly valuable. Analytical thinking, problem-solving, and effective communication help you collaborate across teams and translate business needs into technical solutions. These skills are crucial for building scalable, reliable data pipelines that support organizational decision-making and data-driven strategy.

What are popular job titles related to Data Engineer Hybrid jobs in Virginia?

For Data Engineer Hybrid jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Engineer Hybrid jobs in Virginia look for?

The top searched job categories for Data Engineer Hybrid jobs in Virginia are:

What cities in Virginia are hiring for Data Engineer Hybrid jobs?

Cities in Virginia with the most Data Engineer Hybrid job openings:

Infographic showing various Data Engineer Hybrid job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer II

Delan Associates, Inc

Arlington, VA • On-site, Remote

$131K - $158K/yr

Contractor

Re-posted 8 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.


Employment Type: CONTRACTOR