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Evening Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

Los Angeles, CA · On-site

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Senior Data Engineer

Chicago, IL · On-site

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Senior Data Engineer

New York, NY · On-site

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor ... data engineering, database engineering, business intelligence, data warehousing, and ETL tools ...

Senior Data Engineer

Washington, DC · On-site

$120K - $135K/yr

The Senior Data Engineer will be the key resource responsible for developing and maintaining ... Monday - Friday, with the expectation that evening and weekend work will be required as necessary.

Senior Data Engineer

Washington, DC · On-site

$120K - $135K/yr

The Senior Data Engineer will be the key resource responsible for developing and maintaining ... Monday - Friday, with the expectation that evening and weekend work will be required as necessary.

Data Engineer - Active TS/SCI

Washington, DC

$129.70K - $155.70K/yr

Occasionally (as needed) support to off-hours deployment such as evening or weekends ... data science and engineering at GDIT and you'll find endless opportunities to grow alongside ...

Senior Data Engineer

Miami, FL · On-site

$99.37K - $141.96K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our ... evening, weekends and/or holidays as needed * Spoken and written fluency in English * This job ...

Senior Data Engineer

Miami, FL · On-site

$99.37K - $141.96K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our ... evening, weekends and/or holidays as needed * Spoken and written fluency in English * This job ...

Data Engineer with TS/SCI

Washington, DC · On-site

$129.70K - $155.70K/yr

As a Data Engineer, you will be required to interpret business needs and select appropriate ... Occasionally (as needed) support to off-hours deployment such as evening or weekends.? Requirements

Data Engineer with TS/SCI

Washington, DC

$129.70K - $155.70K/yr

Description As a Data Engineer, you will be required to interpret business needs and select ... Occasionally (as needed) support to off-hours deployment such as evening or weekends.? Requirements

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Showing results 1-20

Evening Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do evening data engineer jobs pay per year?

As of May 31, 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.
Senior Data Engineer

Senior Data Engineer

Metropolis

Los Angeles, CA • On-site

$160K - $220K/yr

Full-time

Medical, Life, Retirement

Posted 18 days ago


Job description

Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
  • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
  • Design and own data architecture for large-scale projects while managing operational trade-offs
  • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
  • Define and manage Service Level Agreements (SLAs) for all owned data sets
  • Implement data security models, ensure privacy compliance, and evolve data governance processes
  • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
  • Maintain production processes by optimizing complex code using advanced algorithmic concepts
  • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
  • Mentor team members through actionable feedback to foster collective skill growth
  • Maintain flexibility with availability during evening hours
What we're looking for
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
  • master's degree is preferred
  • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
  • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
  • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
  • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
  • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
  • Ability to deliver high standards of code quality, system reliability, and performance
  • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
  • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
While not required, these are a plus:
  • Experience with Spark and PySpark
  • Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.