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Weekend Data Engineering Jobs (NOW HIRING)

Citian

Data Engineering Lead

Washington, DC · On-site

$129K - $155K/yr

Who You Are: We are looking to hire a Data Engineering Lead who thrives in a startup environment. You are someone who enjoys working in a fast-paced and agile setting, where you can make a ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

Waystar, Inc

Manager, Data Engineering

Atlanta, GA · On-site

$120 - $150/hr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Crew Career Center

Manager, Data Engineering

Atlanta, GA

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Wellpath

Data Engineering Manager

Franklin, TN · Hybrid

Overview The Data Engineering Manager leads the delivery of data platform, integration, and reporting initiatives while overseeing the infrastructure that supports them. This role translates business ...

Husch Blackwell LLP

Data Engineering Manager

Dallas, TX · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell Llp

Data Engineering Manager

Austin, TX · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell Llp

Data Engineering Manager

Chicago, IL · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Waystar

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Patientco

Manager, Data Engineering

Atlanta, GA

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

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Weekend Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekend data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data engineering 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 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 are hiring for Weekend Data Engineering jobs?

Cities with the most Weekend Data Engineering job openings:

What are the most commonly searched types of Data Engineering jobs?

The most popular types of Data Engineering jobs are:

What states have the most Weekend Data Engineering jobs?

States with the most job openings for Weekend Data Engineering jobs include:

Weekend Data Engineering jobs near you

Data Engineering Manager

Redwood Materials

Mccarran, NV

Full-time

Re-posted 3 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

24th of 91 rated recycling and waste

Job description

Data Engineering Manager

Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts. This role requires collaboration with other business units to identify needs, scope problems, and chart the long-term roadmap for the data platform and services. The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption. The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure.

Responsibilities will include:

  • Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
  • Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
  • Drive cross-functional collaboration with teams across Redwood to discover needs, scope problems, and translate requirements into technical deliverables
  • Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores, ensuring they meet reliability and quality standards
  • Operationalize the team - set on-call expectations, triage incoming work, and ensure production data workloads have appropriate monitoring and incident response
  • Stay technically hands-on - review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
  • Foster a culture of technical excellence and execution, and champion the data team's work across the broader organization

Desired Qualifications:

  • Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
  • Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
  • Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus)
  • Familiarity with the modern data engineering stack - relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
  • Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
  • Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
  • Strong interpersonal and communication skills; able to translate between business stakeholders and technical teams, and to advocate for the team's roadmap with senior leadership
  • A Passion for sustainability and making the world a better place!

Physical Requirements:

  • Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.
  • Occasionally stand/walk, twist/bend/stoop/squat, reach/work above shoulders, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.

Working Conditions:

  • Infrequent night/weekend work if production systems are down and require immediate attention.

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