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Director Amazon Data Engineer Jobs in Virginia (NOW HIRING)

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

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 ...

Redhorse Corporation

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. • Experience engineering data pipelines across multiple security domains/classified networks. • Experience with multiple coding ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Fantom Corporation

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking a Data & Software Engineer to join a small, agile team developing advanced data ... Hands-on experience with AWS services including Amazon S3, AWS Lambda, and AWS Step Functions

VTG

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

VTG

Senior Data Engineer

Herndon, VA

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0241347 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

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Showing results 21-40

All JobsAmazon Data Engineer JobsDirector Amazon Data Engineer JobsDirector Amazon Data Engineer Jobs in Virginia

Director Amazon Data Engineer information

What is the difference between Director Amazon Data Engineer vs Data Engineering Manager?

AspectDirector Amazon Data EngineerData Engineering Manager
ResponsibilitiesOversees multiple data engineering teams, sets strategic vision, manages large-scale projectsManages data engineering teams, ensures project delivery, implements best practices
Required SkillsAdvanced data architecture, leadership, strategic planning, cloud expertiseTechnical data engineering skills, team management, project coordination
CertificationsAWS certifications, data architecture certifications often preferredSimilar certifications, including AWS and data management certifications
Work EnvironmentExecutive-level, cross-team collaboration, strategic planningTeam-focused, project execution, technical problem-solving

The main difference between a Director Amazon Data Engineer and a Data Engineering Manager lies in scope and strategic focus. The Director typically oversees multiple teams and sets long-term data strategies, while the Manager focuses on day-to-day project management and technical leadership within a team.

What does a director of Amazon data engineering do?

A director of Amazon data engineering oversees the design, development, and management of large-scale data systems and pipelines within Amazon. They lead teams of data engineers, ensure data quality and security, and collaborate with other departments to support data-driven decision-making using tools like AWS, Spark, and Hadoop. This role typically requires strong technical expertise, leadership skills, and experience with cloud-based data platforms.
What are the most commonly searched types of Amazon Data Engineer jobs in Virginia? The most popular types of Amazon Data Engineer jobs in Virginia are:
What are popular job titles related to Director Amazon Data Engineer jobs in Virginia? For Director Amazon Data Engineer jobs in Virginia, the most frequently searched job titles are:
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Director Amazon Data Engineer jobs near you

Data Engineer

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 26 days 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

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