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Weekend Amazon Data Engineer Jobs in Virginia (NOW HIRING)

VT Group (VTG)

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

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

VTG

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/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 · 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 ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

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

Weekend Amazon Data Engineer information

What is a Weekend Amazon Data Engineer?

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 a Weekend 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 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

Senior Data Engineer

VT Group (VTG)

Chantilly, VA • On-site

$109K - $148K/yr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. In this dynamic role, you will support the team in conditioning financial data and play a key role in the adoption of modern data engineering practices, impacting data processing efficiency and effectiveness.
Responsibilities:
• As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.
• Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.
• You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools.
• Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.
• Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.
• Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders.
• Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment.
Qualifications:
Required:
• Active TS/SCI with Polygraph required.
• Bachelor’s degree in computer science, Software Engineering, or related field.
• Python
• Structured Query Language (SQL)
• Apache Airflow
• Apache Hop
• Experience normalizing raw, unstructured, and structured data
• Ability to work independently and collaboratively
• Experience building, optimizing, and implementing ETL processes and data pipelines
• Experience with Amazon Web Services (AWS)
Preferred:
• Experience with financial data
• Experience with language translation models
• Experience using Kubernetes
Company:
VTG delivers force modernization and digital transformation solutions that expand America’s competitive advantage in the modern battlespace. Founded in 1866, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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