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Manager Data Science Civil Engineering Jobs in Zeeland, MI

WSP

Senior Geotechnical/Civil Engineering

Holland, MI · On-site

$75K - $93K/yr

Develop and manage subsurface investigations and laboratory testing programs. * Conduct ... Interpret and summarize data, including reports and documents that result in sound engineering and ...

Satori Digital

Civil Project Manager

Holland, MI · On-site

$79K - $105K/yr

We are seeking a Civil Project Manager to lead project teams, manage budgets and schedules, and ... engineering design and drafting. * Conduct research, analyze reports, maps, and test data for ...

WSP

Senior Geotechnical/Civil Engineering

Holland, MI · On-site

Develop and manage subsurface investigations and laboratory testing programs. * Conduct ... Interpret and summarize data, including reports and documents that result in sound engineering and ...

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Showing results 1-20

All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Zeeland, MI

Manager Data Science Civil Engineering information

See Zeeland, MI salary details

$28.5K

$89.4K

$158.3K

How much do manager data science civil engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager data science civil engineering in Zeeland, MI is $89,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What cities near Zeeland, MI are hiring for Manager Data Science Civil Engineering jobs?

Cities near Zeeland, MI with the most Manager Data Science Civil Engineering job openings:

Manager Data Science Civil 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 27 days ago

Key responsibilities

  • Lead, coach, and develop Senior Data Engineers, managing workload priorities, performance feedback, and delivery expectations.

  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, and data integration patterns.

  • Oversee the design, development, testing, deployment, and optimization of data pipelines, models, and integrations across various platforms.

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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