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Weekend Amazon Data Engineer Jobs in Washington (NOW HIRING)

Bigbear.ai

Data Engineer

Washington, DC · On-site

$109K/yr

Integrate data pipelines with Amazon Web Services (AWS) , leveraging services such as S3, Lambda ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$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 ...

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 ...

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 ...

OpenDataJobs

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions ... Hands-on data engineering on AWS: Spark ETL (Glue, EMR), Python and PySpark, and S3 data-lake ...

OpenDataJobs

Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions ... Hands-on data engineering on AWS: Spark ETL (Glue, EMR), Python and PySpark, and S3 data-lake ...

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

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 Washington?

The most popular types of Amazon Data Engineer jobs in Washington are:

What cities in Washington are hiring for Weekend Amazon Data Engineer jobs?

Cities in Washington with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

Bigbear.ai

Washington, DC • On-site

$109K/yr

Full-time

Re-posted 5 days ago

Job description

Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You'll work across cloud environments, databases, and development teams to support mission-critical applications, analytics, and reporting. This position requires expertise in ETL development, AWS cloud services, and database management, along with a strong foundation in Agile software development practices.
What you will do
  • Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices.
  • Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments.
  • Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing.
  • Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
  • Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems.
  • Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures.
  • Support database management and administration tasks such as performance tuning, indexing, and access control.
  • Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs.
  • Develop and integrate APIs to support data access and interoperability across systems.
  • Work with cloud messaging APIs and implement push notification mechanisms where applicable
  • Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes

What you need to have
  • Clearance: Must possess and maintain a TS-SCI clearance
  • Bachelor's degree in computer science, Engineering, Information Systems, or a related field
  • 4-8 years of relevant experience in data engineering, ETL development, or database administration
  • Proficiency in Amazon Web Services (AWS) and cloud-based data integration
  • Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
  • Solid understanding of database management, including schema design, indexing, and optimization
  • Experience with API development and integration
  • Ability to manage and transform raw data into usable formats for analytics and reporting
  • Familiarity with Agile methodologies and collaborative development environments
  • Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems

What we'd like you to have
  • Experience with cloud messaging APIs and push notification systems
  • Hands-on experience with database administration and performance tuning
  • Keen interest in learning and applying the latest data tools and technologies to solve real-world problems
  • Experience supporting technical support functions related to data infrastructure
  • Familiarity with national security or mission-driven data environments

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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