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Data Engineer Jobs in Taylor, MI (NOW HIRING)

HTC Global Services

Azure & Snowflake Data Engineer

Troy, MI · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a ...

HTC Global Services

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Google Cloud Platform Data Engineer Location: Hybrid - 4 days/week in our SE Michigan office Duration: 12+ months Description: The Data Engineer is responsible for designing, building, and ...

General Motors

Data Engineer - Resource Demand

Warren, MI · On-site +1

$107K - $129K/yr

The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and reporting applications that improve engineering planning decisions across General Motors. The work ...

HTC Global Services

Data Engineer (Google Cloud Platform)

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Data Engineer (Google Cloud Platform - Google Cloud Platform) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role ...

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.

Stem Xpert

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Work as SQL Server d/base admin & set up SQL security Audit & write prgms for Big Data solutions. * Conduct user acceptance testing & integration testing. Master's deg in Comp Sci, Engg or related ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Domino's Pizza

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio ...

Ford Motor Company

Connected Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As Ford continues its transformation into a digital-first automotive leader, the ability to monitor vehicle health through connected data is paramount. We are seeking a proactive Engineer/Project ...

Protera Health

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

  • Medical

  • Retirement

  • PTO

About the Role As a hands-on Senior Data Engineer on a small team, you will build and scale the data platform driving Protera's clinical operations, payer reporting, and analytics. This is a senior ...

Ford Motor Company

Connected Data Engineer

Dearborn, MI · Hybrid

$86K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Bachelor's Degree in Engineering. * 3+ years of experience in automotive engineering, quality management, or data analytics. * 3+ years of strong technical understanding of In-Vehicle Infotainment ...

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 ...

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Taylor, MI

Data Engineer information

See Taylor, MI salary details

$41.3K

$120.4K

$164.8K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Taylor, MI is $120,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Taylor, MI?

The most popular types of Data Engineer jobs in Taylor, MI are:

What cities near Taylor, MI are hiring for Data Engineer jobs?

Cities near Taylor, MI with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Taylor, MI as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,419 per year, or $57.9 per hour.

Azure & Snowflake Data Engineer

HTC Global Services

Troy, MI • On-site

$107K - $128K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Title: Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary

Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.

This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.

Key Responsibilities
  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
  • Write and optimize complex SQL queries, transformations, and data processing logic.
  • Develop Python-based data processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data warehouse, lakehouse, data modeling, and solution design concepts.
  • Troubleshoot data quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.
Required Qualifications
  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including Tasks, Streams, Procedures, Functions, and Snowpark.
  • Strong understanding of:
    • Data warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.
Preferred Qualifications
  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data quality, governance, and monitoring practices.

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.

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