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Data Engineer Jobs in Lansing, MI (NOW HIRING)

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED) INTERVIEW: FACE TO FACE EXPECTED JOINING TIME (2 WEEKS) NEED PHOTO ID / LINKEDIN LINK ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must, Need USC/ GC Responsibilities: * Participates in the analysis and development of technical ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration: long term Required Skills: 12+ years developing complex database systems. 8+ years Databricks. 8+ years ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

PROLIM (www.prolim.com) is currently seeking Data Engineer for one of our top Client for Location: Lansing, MI Qualified candidates can directly send your updated resume and contact info via email ...

Data Engineer

Lansing, MI

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Lansing, MI ยท On-site

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Big Data Engineer

Lansing, MI ยท On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

New

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

We are looking for an experienced Senior Data Engineer to design and maintain enterprise reporting, executive dashboards, and data pipelines for large-scale IT portfolio management. Key Role Details

Big Data Engineer

Lansing, MI ยท On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

New

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data Engineer Location: Lansing, MI Duration: 12 + Months Position Responsibilities * The Senior Data Engineer shall perform duties including, but not limited to, the following: * Portfolio ...

Senior Data Engineer

Lansing, MI

$107K - $146K/yr

Senior Data Engineer #1061723 Position Summary: The Michigan Department of Technology, Management and Budget (DTMB) is seeking an experienced Senior Data Engineer to support statewide portfolio ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Position Responsibilities The Senior Data Engineer will perform duties including, but not limited to, the following: Portfolio Reporting and Business Intelligence * Design, develop, implement, and ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related field.

New

Sr Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Our client is seeking an experienced Senior Data Engineer to support portfolio reporting, business intelligence, and data analytics for a current program. The resource will be responsible for ...

Project - Data Engineer II

Lansing, MI ยท On-site

$116K - $139K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Senior Data Engineer at MI

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data Engineer Location: Lansing, MI 48933 Client: State of Michigan Duration: 12+ Months Seeking a Senior Data Engineer to lead data integration, transformation, and analytics across multiple ...

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Data Engineer information

See Lansing, MI salary details

$45.1K

$131.6K

$180K

How much do data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer in Lansing, MI is $131,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,500.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

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.
What are the most commonly searched types of Data Engineer jobs in Lansing, MI? The most popular types of Data Engineer jobs in Lansing, MI are:
What job categories do people searching Data Engineer jobs in Lansing, MI look for? The top searched job categories for Data Engineer jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Data Engineer jobs? Cities near Lansing, MI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Lansing, MI as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $131,567 per year, or $63.3 per hour.

Data Engineer

Kanak Elite Services Inc

Okemos, MI โ€ข On-site

$103K - $124K/yr

Contractor

Re-posted 11 days ago


Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: DATA ENGINEER

LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED)

INTERVIEW: FACE TO FACE

EXPECTED JOINING TIME (2 WEEKS)

NEED PHOTO ID / LINKEDIN LINK

Description: 

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. 

Responsibilities: 

  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. 
  • Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. 

Desired Skills/Qualifications: 

  • Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations. 
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).