1

Data Engineering Jobs in Novi, MI (NOW HIRING)

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. Priorities can change in a ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Core DataOps & Engineering Skills: · Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines. · Expertise in designing ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Experience: * Minimum of 5 years of experience as a Data Engineer. * Proven experience in designing and ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Business Intelligence * Front End (Software Engineering) * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks. * Ensure optimum performance and identify ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... years Data Engineering work experience Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks. Ensure optimum performance and identify ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks. * Ensure optimum performance and identify ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks. * Ensure optimum performance and identify ...

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Collaborate with business, engineering, architecture, and offshore delivery teams. * Track open ...

Azure & Snowflake Data Engineer

Troy, MI · On-site

$107K - $128K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Collaborate with business, engineering, architecture, and offshore delivery teams. * Track open ...

This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering ...

Showing results 41-60

Data Engineering information

See Novi, MI salary details

$43.3K

$155.3K

$229.1K

How much do data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineering in Novi, MI is $155,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $160,000.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Novi, MI? The most popular types of Data Engineering jobs in Novi, MI are:
What job categories do people searching Data Engineering jobs in Novi, MI look for? The top searched job categories for Data Engineering jobs in Novi, MI are:
What cities near Novi, MI are hiring for Data Engineering jobs? Cities near Novi, MI with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Novi, MI as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $155,286 per year, or $74.7 per hour.

Data Engineer (Google Cloud Platform)

HTC Global Services

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

< data-end="886" data-start="868">Job Title

Data Engineer (Google Cloud Platform - Google Cloud Platform)

< data-end="953" data-start="936">Overview

We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible for developing data infrastructure, pipelines, and platforms that support efficient data collection, storage, processing, and analytics. The ideal candidate has experience with Google Cloud Platform (Google Cloud Platform), modern data engineering practices, and cloud-based data solutions.

< data-end="1392" data-start="1363">Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future data requirements.
  • Design, build, and maintain reliable, scalable, and efficient data infrastructure for data collection, storage, transformation, and analysis.
  • Develop and maintain scalable data pipelines, data models, and applications to support reliable data workflows.
  • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouse environments for structured and unstructured data.
  • Develop analytical tools, scripts, algorithms, and automation to support data engineering activities.
  • Monitor data platform performance and identify opportunities for optimization and improvement.
  • Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery.
  • Develop and maintain stored procedures, triggers, and data models.
  • Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
< data-end="2436" data-start="2404">Required Qualifications
  • Bachelor's or Master's degree.
  • 4+ years of Data Engineering experience.
  • Experience with Data Engineering, Data Warehousing, and Data Modeling.
  • Experience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.
  • Experience with data ingestion, transformation, and BigQuery.
  • Experience with stored procedures, triggers, and data modeling.
  • Experience with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
  • Strong understanding of AI-assisted development tools, including Gemini Code Assist, OpenCode, and GitHub Copilot.
  • Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs).
  • Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
< data-end="3352" data-start="3319">Preferred Qualifications
  • Experience with Google Cloud Platform cloud services.
  • Familiarity with Vertex AI, Gemini models, and AI APIs.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

#LI-Hybrid #LI-KK1