ZipRecruiter

Log In

1

Data Engineer Hybrid Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$175K - $195K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) * AWS Certified Security ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

S. offices and offers a hybrid work schedule. Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

S. offices and offers a hybrid work schedule. Responsibilities Data Pipeline Engineering & Integration * Build and operationalize data pipelines across heterogeneous environments, aligning to ...

Accord Technologies Inc.

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Candidate have to be ex-Fannie Mae, and they have to be able to work out of Reston, VA on a hybrid basis. Must Haves: * Experience with Python for data engineering and ETL development. * Strong ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/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 ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Job Number: R0245373 Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop ... Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen ...

previous page

Showing results 41-60

All JobsData Engineer Hybrid JobsData Engineer Hybrid Jobs in Virginia

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:

Data Engineer Hybrid jobs near you
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

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 23 hours ago

Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."
Role Summary
The Data Engineer is the bedrock of intelligence operations, responsible for turning raw, unstructured data into actionable intelligence. You will embed directly with clients to build the data pipelines that power AI workflows. We build systems that don't just move data, but do it with the speed and reliability required for live and automated intelligence. Ultimately, you'll create the foundations that will influence key strategic decisions for us and our customers.
Key Responsibilities
  • ETL/ELT Pipelines: Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
  • Build for the Enterprise: Create a highly reliable single source of truth for enterprise intelligence and enablement
  • AI Workflow Enablement: Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
  • Operations & Governance: Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
  • Efficiency: Design and model for efficient queries, resource usage, workload scheduling, and cost

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of experience in data engineering, within a cloud environment, demonstrating a clear progression from engineering into architectural design
  • Proficiency in SQL and strong programming skills in Python, Rust, or Java
  • Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow)
  • Experience architecting data stores and schemas for AI workflows (e.g., RAG)
  • Active Google Cloud certifications, or willingness to obtain within one month of joining
  • Builder mentality and bias for action
  • US Citizen
Preferred Qualifications
  • Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and batch pipelines using Dataflow (Apache Beam), Pub/Sub, BigQuery, and Cloud Composer (Airflow)
  • Strong background in data modeling and architecture across relational (e.g., PostgreSQL), NoSQL (e.g., Firestore, MongoDB), and graph databases (e.g., Neo4j), including modern cloud data warehouses (e.g., BigQuery) and data lakes (e.g., GCS, Dataproc)
  • Demonstrated experience setting up infrastructure for modern data science, machine learning, or Generative AI (e.g., preparing unstructured data, vector databases, RAG pipelines)
  • Familiarity with regulatory compliance frameworks (FedRAMP, HIPAA, etc.) and security strategies
  • Experience with modern data platforms like Snowflake or Databricks

Benefits
  • Competitive salary and benefits package
  • Hybrid work environment (MWF in-person in our Reston office)
  • A collaborative and innovative work environment
  • Continuous learning and development opportunities

Apply