1

Weekend Data Engineering Jobs in Bethesda, MD (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$100 - $125/hr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Fort George G Meade, MD · On-site

$125 - $150/hr

You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. In this role, you'll collaborate ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process What we'd like you to have * Current CI poly

Data Engineer

Washington, DC · On-site

$93K/yr

Demonstrable experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and a thorough understanding of the ETL process What we'd like you to have * Current CI poly

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Strong experience in Data Engineering with hands-on development of ETL/ELT workflows. * Expertise in Python, SQL, and Spark (PySpark/Scala). * Proficiency in AWS Cloud Services (S3, Redshift, EMR ...

Chief Data/AI Engineer

Arlington, VA · On-site

$125 - $150/hr

This person will establish data engineering standards and best practices, lead technical reviews of data solutions, and ensure integration of data components across the platform. This person will ...

New

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

Data Engineering and Pipelines * Design, develop, test, and maintain reliable ETL/ELT pipelines for importing, transforming, validating, and distributing data across SyncPoint. * Build repeatable ...

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products, engage better with ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: · Write robust and efficient Python and SQL scripts to automate ...

Showing results 41-60

Weekend Data Engineering information

See Bethesda, MD salary details

$47.6K

$138.8K

$190K

How much do weekend data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data engineering in Bethesda, MD is $138,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $147,200.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What cities near Bethesda, MD are hiring for Weekend Data Engineering jobs?

Cities near Bethesda, MD with the most Weekend Data Engineering job openings:

Data Engineer

Kda Consulting

Chantilly, VA • On-site

$100 - $125/hr

Other

Re-posted 4 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems
AWS Cloud & Data Services
  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management
Data Optimization & Performance
  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues
Data Quality & Governance
  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards
Collaboration & Integration
  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills

#J-18808-Ljbffr