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Senior Geospatial Data Engineer Jobs in Michigan

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type ... Utilize Python for scripting and automation to streamline geospatial data processing tasks.

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132.10K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business ...

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

FastTek

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Responsibilities of the Senior Data Engineer: * Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems. * Develop and optimize ETL/ELT ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

FastTek

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Senior Engineer Exp: 10+ years Data Engineering work experience Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex ...

FastTek

Senior Data Engineer

Jackson, MI

$96.40K - $131K/yr

Senior Data Engineer #1052686 If you're looking for a career that will provide a challenging work environment and many opportunities to learn, our company is the place for you. Join our team and ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$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 ...

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 ...

Pwc

Data Engineer - Senior Associate

Detroit, 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 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 ...

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Senior Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a Senior Geospatial Data Engineer, and why are they important?

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 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 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 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

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105.20K - $126.30K/yr

Contractor

Posted 26 days ago

Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.