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Weekend 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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$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)

GDIT

Data Engineer

Falls Church, VA

$128K - $173K/yr

Amazon Web Services (AWS), Analytics, Data Movement Certifications: None Experience: 3 + years of ... Data Engineer * Builds and maintains Advana ingestion, transformation, and storage pipelines ...

GDIT

Data Engineer

Falls Church, VA · On-site

$128K - $173K/yr

Amazon Web Services (AWS), Analytics, Data Movement Certifications: None Experience: 3 + years of ... Data Engineer * Builds and maintains Advana ingestion, transformation, and storage pipelines ...

VTG

Senior Data Engineer

Herndon, VA · On-site

$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

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 ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA

$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)

Sidram Technologies

AWS Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

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)

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)

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Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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 Weekend Amazon Data Engineer jobs in Virginia? For Weekend Amazon Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Virginia look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Weekend Amazon Data Engineer jobs? Cities in Virginia with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Data Engineer

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Posted 18 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