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Weekend Data Pipeline Engineer Jobs in Reston, VA

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing ... Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT) * Build and optimize ...

Element Solutions

Sr. Data Engineer

Washington, DC

$129K - $155K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... This role develops and manages data pipelines, ETL processes, and storage solutions that enable ...

Element Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... This role develops and manages data pipelines, ETL processes, and storage solutions that enable ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

Data Pipeline Development: * Architect and build scalable, reliable, and secure data pipelines to gather, process, and store healthcare data from multiple sources. * Create and optimize ETL/ELT ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

VTG

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing ... Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT) Build and optimize ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$125K - $150K/yr

What you will do * Design and develop end-to-end data pipelines that support ingestion ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

Leidos

Journeyman Data Engineer

Gaithersburg, MD · On-site

$73K - $132K/yr

In this role, you will work alongside government partners, engineers, and other industry teammates ... Support integration of data pipelines with enterprise data platforms, APIs, and downstream ...

Leidos

Journeyman Data Engineer

Alexandria, VA · On-site

$73K - $132K/yr

In this role, you will work alongside government partners, engineers, and other industry teammates ... Support integration of data pipelines with enterprise data platforms, APIs, and downstream ...

Leidos

Journeyman Data Engineer

Alexandria, VA · On-site

$73K - $132K/yr

In this role, you will work alongside government partners, engineers, and other industry teammates ... Support integration of data pipelines with enterprise data platforms, APIs, and downstream ...

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All JobsData Pipeline Engineer JobsWeekend Data Pipeline Engineer JobsWeekend Data Pipeline Engineer Jobs in Reston, VA

Weekend Data Pipeline Engineer information

See Reston, VA salary details

$62.9K

$127K

$174.3K

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

As of Jun 10, 2026, the average yearly pay for weekend data pipeline engineer in Reston, VA is $127,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $145,600.00 per year, depending on experience, location, and employer.

What does a Weekend Data Pipeline Engineer do?

A Weekend Data Pipeline Engineer is responsible for designing, building, and maintaining data pipelines that process and move data efficiently, specifically during weekend shifts. They ensure data flows smoothly between systems, monitor performance, troubleshoot issues, and implement improvements. Their work supports data analysts, scientists, and other stakeholders who rely on timely and accurate data delivery. This role often requires expertise in ETL tools, programming, and cloud platforms, as well as availability for on-call or shift-based work during weekends.

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

To thrive as a Weekend Data Pipeline Engineer, you need a solid background in computer science, data engineering principles, and experience building and maintaining data pipelines, often supported by a relevant degree. Proficiency with ETL tools, cloud platforms like AWS or GCP, and data processing frameworks such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for managing off-hours incidents and collaborating remotely. These skills and qualities ensure the reliability, efficiency, and scalability of data systems during critical weekend operations.

What are the unique challenges of working as a Weekend Data Pipeline Engineer, and how can I effectively manage them?

As a Weekend Data Pipeline Engineer, you may face challenges such as working with limited real-time support, handling system issues during off-peak hours, and managing updates or maintenance with minimal disruption. Success in this role often requires strong problem-solving skills, the ability to work independently, and clear documentation for handoff to weekday teams. Establishing proactive communication channels and automating monitoring or alerting systems can also help ensure smooth weekend operations and collaboration with your colleagues.
Weekend Data Pipeline Engineer jobs near you
Data Engineer

Data Engineer

VTG

Herndon, VA

$117K - $141K/yr

Full-time

Posted 27 days ago

Job description

Overview

We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.


What will you do?
  • Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
  • Build and optimize data architectures, including data lakes, data warehouses, and data marts
  • Ingest, process, and transform large volumes of structured and unstructured data
  • Ensure data quality, integrity, and reliability across systems
  • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
  • Implement data governance, security, and compliance best practices
  • Optimize data storage, query performance, and cost efficiency in cloud environments
  • Monitor and troubleshoot data pipeline performance and failures
  • Maintain documentation for data flows, systems, and processes

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • Experience with cloud data platforms (AWS, Azure, or GCP)
  • Proficiency in programming languages such as Python, Scala, or Java
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • Experience with cloud data platforms (AWS, Azure, or GCP)
  • Proficiency in programming languages such as Python, Scala, or Java
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)
Education:UNAVAILABLEEmployment Type: FULL_TIME

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