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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 ...

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 ...

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 ...

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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 Jun 1, 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 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.

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 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 May 2026, with employment types broken down into 4% As Needed, 36% Full Time, 56% Part Time, and 4% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer (Data Architecture & Engineering) with Security Clearance

Data Engineer (Data Architecture & Engineering) with Security Clearance

Executive Management Services, LLC

Washington, DC

Other

Posted 20 days ago


Executive Management Services rating

4.7

Company rating: 4.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

44th of 56 rated cleaning companies


Job description

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. Essential Duties and Responsibilities: • 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 client’s 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.
• Co-location: High colocation, 70-80% onsite Required Qualifications, Education, and Experience: • Active TS/SCI clearance
• Bachelor’s 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 Desired Qualifications, Education, and Experience: • Master’s 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.
The Successful Candidate will Possess:
• Prospective candidates should have strong risk management skills, excellent communication, teamwork, and conflict management skills.
• The candidate must be analytical and effectively able to prioritize needs, requirements, and other issues.
• Ability to communicate and interact effectively at all levels of staff and management.
• Ability to exercise independent judgment, develop relationships, and obtain consensus among interested parties.
• Critical thinker with strong technical skills, diagnostic skills and problem-solving ability.
• Solid written and verbal communication skills to negotiate direction, drive projects and projects to successful conclusion and deliver knowledge to team members verbally and via clear designs, runbooks and technical engineering and exchange sessions.
• Self-starter, flexible, adaptable, collaborative and motivated to champion continuous improvement.
• Ability to develop peer networks across an enterprise to maintain technology awareness and to support resolution of problems.
• Ability to operate across traditional technical boundaries, comfortable working in the compute space as well as the storage space in an operational capacity.
• Technically curious and driven to learn new skills. General Factors: • Depending on project requirements, may be required to work within a compressed schedule; overtime should be expected when schedules demand it.
• Willing to travel, if needed.
• No Relocation.
• Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.
• Must be able to multi-task and rapidly change priorities with limited notice.

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About Executive Management Services

Sourced by ZipRecruiter

The EMS Group is a privately owned and operated facility services, equipment and supply corporation based in Indianapolis, Indiana. The growth of The EMS Group from 30 employees in 1989, to approximately 4,000 employees today is directly attributed to the management philosophy and dedication to customer service. Dedicated to serving 43 states nationwide, we stress attention to detail, prompt problem solving, and excellent customer relations. The EMS Group proudly provides a wide range of services to its customers including Cleaning & Janitorial,Consumable Supply & Equipment, Snow Removal, Landscaping, Unarmed Security, and Light Maintenance.

Industry

Facilities support services

Company size

1,001 - 5,000 Employees

Headquarters location

Greenfield, IN, US

Year founded

1989