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Evening Data Engineer Jobs (NOW HIRING)

Partner closely with data engineering teams to ensure scalability and reliability forboth ... Flexibility to workoccasionaladjusted work schedules, overtime, and evening and/or weekend hours to ...

The Engineer works in an Agile team in a multi-technology environment and contributes to the ... data and applications as part of production support * Occasionally required to work late evening ...

The Engineer works in an Agile team in a multi-technology environment and contributes to the ... data and applications as part of production support * Occasionally required to work late evening ...

Partner closely with data engineering teams to ensure scalability and reliability for both ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

About the Position We are looking for an experienced Senior Data Center Engineer who can help our ... evening and weekend work and we're happy to negotiate a flexible schedule that feels healthy and ...

About the Position We are looking for an experienced Senior Data Center Engineer who can help our ... evening and weekend work and we're happy to negotiate a flexible schedule that feels healthy and ...

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM). The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ...

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM). The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ...

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Showing results 1-20

Evening Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do evening data engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for evening data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the typical work hours and team collaboration expectations for an Evening Data Engineer position?

Evening Data Engineer roles typically require working later in the day or overnight, which helps support 24/7 business operations or enables off-hours data processing and system maintenance. While much of the technical work may be independent, regular collaboration with daytime engineering, analytics, and operations teams is essential, often facilitated through documentation, scheduled meetings, or asynchronous communication tools. You may also interact with support staff, troubleshoot production issues, and contribute to overnight data deployments. This schedule can offer greater flexibility and autonomy, but effective communication and proactive updates are important to maintain smooth handoffs between day and evening team members.

What is an Evening Data Engineer job?

An Evening Data Engineer is responsible for building and maintaining data pipelines, databases, and ETL processes during evening or off-peak hours. This role ensures data workflows run smoothly and efficiently, often supporting real-time analytics, data warehousing, or batch processing jobs. Working evenings may be necessary to monitor overnight data loads, troubleshoot issues, and optimize performance with minimal disruption to business operations.

What are the key skills and qualifications needed to thrive in the Evening Data Engineer position, and why are they important?

To thrive as an Evening Data Engineer, you need strong programming skills in SQL and Python, expertise in data modeling, ETL processes, and a relevant degree in computer science or a related field. Familiarity with data warehousing solutions, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics can be very beneficial. Effective communication, problem-solving abilities, and the flexibility to work independently during evening hours are key soft skills for this role. These competencies ensure efficient data pipeline management, reliable data delivery, and seamless collaboration with cross-functional teams despite non-traditional work hours.

More about Evening Data Engineer jobs
What cities are hiring for Evening Data Engineer jobs? Cities with the most Evening Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Evening Data Engineer jobs? States with the most job openings for Evening Data Engineer jobs include:
Infographic showing various Evening Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - Active TS/SCI

Data Engineer - Active TS/SCI

General Dynamics Information Technology

Washington, DC • On-site

$129K - $155K/yr

Full-time

Retirement, PTO

Posted 19 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

71st of 207 rated it services


Job description

REQ#: RQ220181Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

DATA ENGINEER SENIOR

As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.

Duties:

  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Develop and design data pipelines to support an end-to-end solution.
  • Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
  • Integrate data pipelines with AWS cloud services to extract meaningful insights.
  • Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
  • Design and develop robust and functional dataflows to support raw data and expected data.
  • Provide Tier 3 technical support for deployed applications and dataflows.
  • Define and communicate a clear product vision for our clients software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Partner with a government product owner and a product team of 7-8 FTEs.
  • Collaborate with the rest of data engineering team to design and launch new features.
  • Coordinate and document dataflows, capabilities, etc.
  • Occasionally (as needed) support to off-hours deployment such as evening or weekends.

Qualifications:

  • 5+ years of experience
  • Bachelors degree or equivalent practical experience.
  • Expertise in distributed computing frameworks to handle large-scale data processing.
  • Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
  • Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
  • Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
  • Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
  • Familiar with Linux/Unix server environments.
  • Experience with Agile development methodology.
  • Publishing and/or presenting design reports.
  • Coordinating with other team members to reach project milestones and deadlines.
  • Working knowledge with Collaboration tools, such as, Jira and Confluence.
  • Preferred Qualifications:

  • Masters degree or equivalent experience in a related field.
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
  • Familiarity and experience with the Department of Homeland Security (DHS).
  • Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).
  • Experience with cloud message APIs and usage of push notifications.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
  • Working knowledge with public keys and digital certificates.
  • Experience with DevOps environments.
  • Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
  • Experience with cloud message APIs and usage of push notifications.
  • Specialization in Object Oriented Programming languages, scripting, and databases
Must be able to obtain and maintain a DHS EOD (Entry On Duty)
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
Work Requirements
Years of Experience

5 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US