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Weekend Amazon Data Engineer Jobs in Leesburg, VA

Data Engineer

Fairfax, VA ยท On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Amazon or Azure cloud certifications Compensation & Benefits PFS offers a benefits package that may ...

AWS Data Engineer

Reston, VA ยท 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 ...

Data Engineer

Chantilly, VA ยท 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)

Data Engineer

Chantilly, VA ยท 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)

Senior Data Engineer

Chantilly, VA ยท 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 ...

Senior Data Engineer

Chantilly, VA ยท 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 ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Leesburg, VA salary details

$45K

$131.2K

$179.5K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend amazon data engineer in Leesburg, VA is $131,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,100.00 per year, depending on experience, location, and employer.

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 Leesburg, VA?

The most popular types of Amazon Data Engineer jobs in Leesburg, VA are:

What cities near Leesburg, VA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Leesburg, VA with the most Weekend Amazon Data Engineer job openings:

Data Engineer

Prometheus Federal Services

Fairfax, VA โ€ข On-site, Remote

$130K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are exploring the addition of an experienced Data Engineer to support the Department of Veterans Affairs (VA) programs. The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and database administration (DBA) best practices, including performance tuning, indexing strategies, and data integrity management. This role will design, optimize, and maintain scalable data pipelines and databases across on-prem and cloud environments to support analytics, reporting, and operational decision-making across VA programs. The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility, quality, and operational efficiency.
Essential Duties and Responsibilities
  • Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
  • Implement workflow orchestration, scheduling, and monitoring to ensure reliable, automated data delivery.
  • Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage data integrity across data pipelines
  • Optimize data ingestion, transformation, and storage for performance, cost, and maintainability.
  • Administer and optimize relational databases (e.g., SQL Server, Azure SQL, PostgreSQL), perform database performance tuning, indexing, query optimization, and capacity planning.
  • Implement and maintain database security, access controls, and auditing in alignment with VA security and privacy requirements.
  • Support backup/restore strategies, disaster recovery planning, and high-availability configurations.
  • Monitor database health, troubleshoot issues, and ensure data integrity across environments. Support troubleshooting, root-cause analysis, and continuous improvement of data engineering and DBA processes.
  • Implement automated data quality checks, validation rules, and anomaly detection routines.
  • Develop monitoring dashboards and alerting mechanisms to proactively identify data issues.
  • Support data profiling, lineage tracking, and metadata management to improve transparency and trust in data assets.
  • Collaborate with stakeholders to define quality thresholds and acceptance criteria, translating VA stakeholder needs into scalable, repeatable data engineering and database solutions.
Minimum Qualifications
  • Bachelor's degree
  • 5+ years of experience in data engineering, ETL/ELT development, or database administration.
  • Strong proficiency in SQL, Python, PySpark, Spark, and Databricks for data ingestion, cleaning, and transformation, including performance tuning, indexing, and query optimization.
  • Experience administering and optimizing relational databases in production environments.
  • Experience working across VA platforms and enterprise data assets.
  • Experience implementing automated data pipelines and data quality monitoring frameworks.
  • Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage, Azure SQL)
  • Experience with GitHub, GitLab, and GitHub Actions.
  • Authorized to work in the U.S. indefinitely without sponsorship
  • Ability to obtain a public trust
Preferred Qualification
  • Experience building data pipelines and architectures to manage ingest, integration, and data product development for large-scale unstructured datasets (PDFs, documents) across multiple source systems
  • Experience working with data platforms and processing tools, including Databricks and Spark
  • Experience migrating legacy and on-premises data and systems to cloud environments
  • Experience developing data products through a medallion architecture
  • Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices
  • Amazon or Azure cloud certifications

Compensation & Benefits
PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.
The posted salary range is the company's good-faith estimate for this role. PFS benefits and compensation are determined by various factors, including, but not limited to, location; the individual's particular combination of education, knowledge, skills, competencies, and experience; as well as contract and organizational requirements.
Salary Range: $130,000 - $155,000
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.
Accommodations
PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@pfs.us. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.
Workplace Health, Safety, and Compliance
This position may be subject to client-specific or government-mandated vaccination, health, or safety requirements, which may change over time.
Texting Privacy Policy and Information:
  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".