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Weekend Data Engineering Jobs (NOW HIRING)

Lake Michigan Credit Union

Data Engineering Manager

Grand Rapids, MI · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Manager, Data Engineering leads the Data Engineering function responsible for designing, building, maintaining, and optimizing enterprise data models, pipelines, and integrations that support ...

Husch Blackwell Llp

Data Engineering Manager

Chattanooga, TN · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Madison, WI · 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

Milwaukee, WI · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Madison, WI · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Omaha, NE · 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

  • Medical

  • Retirement

  • PTO

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.

Husch Blackwell Llp

Data Engineering Manager

Washington, DC · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Houston, 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

Denver, CO · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Data Engineering Manager

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 41-60

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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

Lake Michigan Credit Union

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Lake Michigan Credit Union rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Primary Location: Grand Rapids
Employee Status: Full-Time
Workplace Type: Hybrid
Who we are:
At LMCU, you'll find more than just a job - discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.
About this position:
The Manager, Data Engineering leads the Data Engineering function responsible for designing, building, maintaining, and optimizing enterprise data models, pipelines, and integrations that support business needs and enable self-service analytics across LMCU. This role manages Senior Data Engineer resources, establishes data engineering standards, oversees delivery and operational support, and ensures data solutions are scalable, reliable, secure, and aligned to business priorities.
What you'll do:
  • Lead, coach, and develop Senior Data Engineers, including managing workload priorities, sprint commitments, performance feedback, career development, hiring, and day-to-day delivery expectations.
  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, integration patterns, Microsoft Fabric/OneLake architecture, and reusable data products.
  • Oversee the design, development, testing, deployment, maintenance, and optimization of data pipelines, curated data models, integrations, and data migrations across core banking, digital, operational, and analytics platforms.
  • Ensure data pipelines and models are reliable, secure, performant, well-documented, and supportable through effective monitoring, data quality controls, lineage, and issue-resolution processes.
  • Partner with Business Intelligence, Data Governance, Application Development, Infrastructure, vendors, and business stakeholders to translate business needs into scalable technical solutions.
  • Enable trusted self-service analytics by delivering reliable, accessible, and well-governed data products that support reporting, analytics, and informed decision-making. Adhere to and champion our core values of curious minds, collaborative hearts, and continuous excellence.

What you'll bring:
  • 8+ years of progressive experience in data engineering, analytics engineering, data architecture, data warehousing, or data platform development, including experience leading technical resources, delivery workstreams, or project teams.
  • Bachelor's degree in computer science, information systems, information technology, data management, data analytics, engineering, or a related field; significant relevant experience may be considered in lieu of a degree.
  • Hands-on experience with Microsoft Fabric, OneLake, Data Factory, notebooks, lakehouse and warehouse workloads, SQL Server, and modern cloud data platforms.
  • Strong knowledge of ETL/ELT design and orchestration, dimensional modeling, star and snowflake schemas, Kimball/Inmon concepts, and medallion architecture.
  • Proficiency with SQL and Python, including data pipeline testing, observability, monitoring, and troubleshooting.
  • Experience with Azure DevOps/Git, CI/CD practices, and modern development and deployment processes.
  • Knowledge of data quality controls, metadata management, data lineage, governance, and documentation best practices.
  • Experience integrating core banking, digital banking, and other operational data sources into enterprise data platforms.
  • Experience working within Agile delivery environments, including ServiceNow or Jira intake, prioritization, and stakeholder communication.
  • Relevant certifications in Microsoft Fabric, Azure, cloud data platforms, data engineering, Agile/Scrum, leadership, or project management are preferred.
  • experience.
  • Ability to work effectively within established priorities, standards, and processes while demonstrating strong execution and follow-through.

Preferred Qualifications:
  • Experience partnering with or leading Data Science teams in the delivery of predictive analytics, machine learning, or AI-driven solutions.
  • Familiarity with the data science lifecycle, including model development, model deployment (MLOps), monitoring, and governance.
  • Experience building platforms, pipelines, and infrastructure that enable Data Scientists to develop, test, and operationalize models at scale.
  • Knowledge of modern AI, machine learning, and generative AI technologies and their integration into enterprise data platforms.
  • Demonstrated ability to bridge Data Engineering, Business Intelligence, and Data Science disciplines to deliver business outcomes.

What you'll get:
  • All Employees: weekly pay and retirement savings options.
  • Full-Time Employees: comprehensive health coverage including medical (with prescription), dental, vision, HSA match, paid parental leave, and tuition reimbursement.
  • To see a full list of our benefit offerings, check out this helpful guide!

Have additional questions about the role? Email the Talent Acquisition Team at: Careers@lmcu.org
If you lack access to the internet or require an accommodation in the application process, please send your resume via mail to P.O. BOX 2848, Grand Rapids, MI 49501-2848.
LMCU is an Equal Opportunity Employer

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