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Weekend Data Engineer Jobs in Reston, VA (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... weekend work may be required to support critical deliverables Preferred : • Prior military ... Data Engineer, or Developer) • Experience with distributed data processing platforms (Spark ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... or weekend work may be required to support critical deliverables • Must be a U.S. Citizen • ... Data Engineer, or Developer) • Experience with distributed data processing platforms (Spark ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Acuity, Inc. is a technology consulting firm that supports federal agencies, and they are seeking a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions.

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

DATA ENGINEER

Manhattan, NY

$126K - $151K/yr

Data Engineer - Retail & E-Commerce (2-3 Years Experience) About the Role We are seeking a Data Engineer - Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Overview We are seeking a Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Data Engineer Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

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Weekend Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do weekend data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for weekend data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

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

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Reston, VA? The most popular types of Data Engineer jobs in Reston, VA are:
What are popular job titles related to Weekend Data Engineer jobs in Reston, VA? For Weekend Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Reston, VA look for? The top searched job categories for Weekend Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Weekend Data Engineer jobs? Cities near Reston, VA with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 61% Full Time, 32% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Data Engineer

$131K - $158K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Andromeda Systems Incorporated (ASI) provides tools and services to assist Physical Asset Owners, Fleet Managers, and Military Program Managers in gaining critical insights into their equipments performance, identifying system improvements, optimizing operations and support, making better business decisions, and achieving measurable life-cycle cost savings.

ASI provides unparalleled expertise and capabilities in the Reliability, Maintenance, Supportability, and Logistics disciplines. Our staff of internationally recognized leaders are shaping the industry and developing revolutionary solutions in the military and commercial sectors. Clients leverage our experience and cutting-edge analytical tools to improve asset performance and reduce life-cycle costs. As a leading provider of professional and high technology services and solutions, ASI serves the Department of Defense, U.S. civilian agencies, and private industry.

ASI is seeking a highly-skilled Data Engineer to join the data engineering team in our Arlington, VA office. This role focuses on designing, architecting, and optimizing robust data pipelines and cloud-based data systems that support analytics, dashboards, operational software applications, and mission-critical customer deliverables.

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to translate complex requirements into scalable, production-ready data solutions.

Responsibilities:

  • Architect, design, and implement scalable, secure data pipelines and ETL/ELT workflows to ingest data into AWS cloud environments
  • Lead the development of data architectures supporting analytics, dashboards, and operational systems, ensuring reliability, performance, and maintainability
  • Collaborate with software engineering teams to clean, migrate, and replicate data into and within SQL Server environments
  • Engineer solutions to integrate, transform, and harmonize data from diverse structured and unstructured sources
  • Optimize data storage systems, warehouse/lake environments, and relational database performance
  • Serve as a senior technical resource to junior and mid-level data engineers, offering mentorship and guiding architectural decisions
  • Work directly with customers to clarify requirements, present technical concepts, set expectations, and deliver actionable insights
  • Uphold data governance and data quality processes to ensure trustworthiness and traceability
  • Support development of customer-facing dashboards and analytics by providing high-quality, well-curated datasets
  • Drive continuous improvement in pipeline automation, monitoring, and reliability

Required Qualifications:

  • Bachelors or Masters degree in computer science, information systems, data engineering, or related discipline
  • 3+ years of experience building and delivering production-grade data pipelines using cloud, Python, and SQL technologies
  • Demonstrated ability to design strong data pipeline architecture for scalable ingestion, transformation, and analytics
  • Proficiency in Python, SQL, and modern cloud data flows (AWS preferred)
  • Experience manipulating, cleansing, and replicating data within relational databases, including SQL Server
  • Experience supporting data ingestion and transformation processes for analytics or dashboard development
  • Ability to collaborate with cross-functional teams consisting of data engineers, analysts, software developers, and customers to deliver complete, high-quality products
  • Strong communication and customer-facing skills; able to clearly articulate technical concepts and set realistic expectations
  • Occasional evening or weekend work may be required to support critical deliverables

Preferred Qualifications:

  • Prior military experience or experience supporting DoD systems
  • AWS experience or certification (Solutions Architect, Data Engineer, or Developer)
  • Experience with distributed data processing platforms (Spark, Databricks, or Hadoop)
  • Experience with SQL and NoSQL systems
  • Experience supporting or enabling dashboard or BI development using Qlik and Tableau
  • Familiarity with data warehousing, metadata management, and real-time or batch streaming systems
  • Knowledge of Evolve-based data migration processes, including planning, executing, and validating migrations using Evolve tools
  • Experience working in highly collaborative, customer-focused technical environments

At ASI, we understand that everyones journey is different. If you are not sure if your experience meets the requirements, we encourage you to apply. We are interested in what you have to offer.

Work Authorization/Security Clearance:

  • Must be a U.S. Citizen
  • Must be able to obtain a Secret Clearance

Benefits and Compensation:

  • 401(k) plan with immediate 100% vesting and 4% discretionary match
  • Paid leave including PTO, holiday, bereavement, and military
  • Generous medical, dental, and vision insurance for employees and their families
  • Health and dependent care FSA
  • Company-provided life/AD&D, as well as supplemental life and disability insurance
  • TRICARE Supplement
  • Employee Assistance Program
  • Tuition assistance and professional development
  • Bonus programs

For more information about this and other open positions, please visit our website at www.androsysinc.com.

AAP/EEO Statement

Andromeda Systems Incorporated is an Equal Employment Opportunity employer. As such, 41 CFR 60-1.4(a), 41 CFR 60-300.5, 41 CFR 60-741.5 as well as 29 CFR Part 471, Appendix A to Subpart A are herein incorporated by reference, to the extent applicable.

This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.