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Senior Geospatial Data Engineer Jobs in Michigan

Kiongroup

Senior Data Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience building self-service enterprise scale data platforms with microservices architecture and leading these ...

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to design, develop, test, and maintain scalable data solutions that support business and customer needs. This role is ...

Corning

$104K - $125K/yr

As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable ...

Rocket

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members, and ensure data quality while driving best practices across the data engineering lifecycle.

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the reliability and queryability of plant data, supporting autonomous mineral refining operations. The role ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform, CloudFormation, HL7, FHIR Requirements: Senior data engineer with ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines, schemas, and contracts that make a whole class of plant data trustworthy and queryable. The systems ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Zenfreed, LLC

Senior Data Engineer

Lansing, MI

$52 - $65/hr

The Michigan Department of Technology, Management and Budget (DTMB) is seeking an experienced Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data analytics ...

Cognizant Technologies

MI · On-site

$102K - $139K/yr

Duration : 1 year Qualifications The Senior Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Zenfreed LLC

Senior Data Engineer

Lansing, MI · On-site

The Michigan Department of Technology, Management and Budget (DTMB) is seeking an experienced Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data analytics ...

Gordon Food Service

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and ...

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Rock Connections

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing, building, and scaling enterprise-grade data engineering solutions across our cloud-native data platform on ...

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All JobsGeospatial Data Engineer JobsSenior Geospatial Data Engineer JobsSenior Geospatial Data Engineer Jobs in Michigan

Senior Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a senior geospatial data engineer?

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

What are some typical challenges a senior geospatial data engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is a senior geospatial data engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.
What are the most commonly searched types of Geospatial Data Engineer jobs in Michigan? The most popular types of Geospatial Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Geospatial Data Engineer jobs? Cities in Michigan with the most Senior Geospatial Data Engineer job openings:
Senior Geospatial Data Engineer jobs near you

Senior Data Engineer

Kiongroup

Grand Rapids, MI • On-site

$133K - $204K/yr

Full-time

Posted 4 days ago

Job description

At Dematic, we are revolutionizing our data landscape in support of cutting-edge Artificial Intelligence (AI) use cases. We are forming multiple teams that will spearhead the creation of the platform's foundational components. These teams go beyond traditional data ingestion; they are architects of a microservices-driven platform, providing abstractions that empower other teams to seamlessly extend the platform.
We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience building self-service enterprise scale data platforms with microservices architecture and leading these foundational efforts. This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has experience with software engineering design patterns and microservices frameworks. The ideal candidate will be 100% hands-on, deep in the code and individual contributor who will contribute significantly to platform development and actively shape our data ecosystem.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $133,125 - $204,125 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

What You Will do in This Role:

  • As a senior data engineer, you will be responsible for ideation, architecture, design and development of our key data platform components.
  • Create and maintain essential data platform SDKs and libraries, adhering to industry best practices.
  • Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud.
  • Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check.
  • Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
  • Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions.
  • Proactively identify and contribute towards platform resiliency.
  • Design and develop observability and data governance frameworks and practices.
  • Stay up to date with the latest data on engineering trends, technologies, and best practices.
  • Drive the deployment and release cycles, ensuring a robust and scalable platform.
  • Partner with AI enablement teams across the organization as well as KION IT Cloud Infrastructure, AI Platform, and security teams to ensure AI/ML capabilities align with IT framework and guidelines within KION.
  • Partner with Business Transformation Data Management teams to align on master data.

What We are Looking for:

  • 5+ years of proven experience in modern cloud data engineering and software engineering.
  • Proven ability to build end-to-end data platforms and data services (beyond ETL).
  • Strong cloud experience, preferably GCP; Azure (ADLS) and Databricks are strong pluses.
  • Hands-on experience with Databricks (Delta Lake, Spark, ML/ETL workflows).
  • Experience working in multi-cloud environments (GCP / Azure).
  • Proficiency with platforms such as BigQuery, Dataflow, Dataform, Cloud Run, DBT, Dataproc, SQL, Python, Airflow, Pub/Sub, and equivalent Azure tooling such as ADLS, Azure Functions, and Databricks.
  • Experience with microservices architectures (Kubernetes, Docker).
  • Deep experience with batch and streaming data infrastructures.
  • Strong hands-on experience with metadata management, data catalogs, data lineage, data quality, and data observability frameworks.
  • Strong understanding of data modeling, data architecture, and data governance.
  • Solid experience with DataOps, CI/CD, and test automation.
  • Excellent experience with observability tooling.
  • Experience building data platforms supporting AI use cases and machine learning
  • Production level experience with universal semantic layers.
  • Production level experience with implementing either 3rd party or open-source metadata management platforms.
  • Production level experience with data platform resiliency.
  • Experience building large-scale data platforms on Azure, including Azure Data Lake and Databricks.

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