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Senior Data Engineer Jobs in Howell, MI (NOW HIRING)

As a senior individual contributor, you will independently lead analytics projects from problem ... Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

Sr Data Scientist

Novi, MI · On-site

$125 - $150/hr

As a senior individual contributor, you will independently lead analytics projects from problem ... Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

New

As a senior individual contributor, you will independently lead analytics projects from problem ... Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

As a senior individual contributor, you will independently lead analytics projects from problem ... Required Qualifications Master's degree in Data Science, Statistics, Computer Science, Engineering ...

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Senior Data Modeler, Technical Lead, and Data Architect. - Participate and provide technical ... Developers and Technical Project Managers. - Learn new things, and grow rapidly from constant ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

This is a senior individual contributor role with broad ownership and influence across the ... A bachelor's degree in data engineering, computer science, information systems, business analytics ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

This is a senior individual contributor role with broad ownership and influence across the ... A bachelor's degree in data engineering, computer science, information systems, business analytics ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data ... Partner closely with executive leadership, business stakeholders, engineering, and IT teams to ...

The Data Platform Lead works closely with the Data Platform Portfolio Manager, Enterprise ... Experience leading and developing senior engineers and building distributed technical ownership ...

Engineer, Program - Sr

Northville, MI · On-site

$98K - $135K/yr

Position Summary: The Senior Program Engineer is the liaison between the Customer and Cooper ... Responsible for releasing and maintaining program data, drawings, and other engineering documents ...

Engineer, Program - Sr

Northville, MI · On-site

$98K - $135K/yr

Position Summary: The Senior Program Engineer is the liaison between the Customer and Cooper ... Responsible for releasing and maintaining program data, drawings, and other engineering documents ...

Senior Modeling Engineer

Plymouth, MI · On-site

$125 - $150/hr

Clarios is seeking an experienced Senior Modeling Engineer to lead the development of physics-based, data-driven, and system-level models supporting next-generation automotive energy storage systems.

New

Senior Modeling Engineer

Plymouth, MI · On-site

$99K - $136K/yr

Clarios is seeking an experienced Senior Modeling Engineer to lead the development of physics-based, data-driven, and system-level models supporting next-generation automotive energy storage systems.

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Senior Data Engineer information

See Howell, MI salary details

$75.8K

$118.2K

$163.8K

How much do senior data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data engineer in Howell, MI is $118,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineer jobs in Howell, MI?

For Senior Data Engineer jobs in Howell, MI, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Howell, MI look for?

The top searched job categories for Senior Data Engineer jobs in Howell, MI are:

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

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

Infographic showing various Senior Data Engineer job openings in Howell, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,215 per year, or $56.8 per hour.

Sr Data Scientist

Novi, MI • On-site

Learning Care Group
Education • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Learning Care Group rating

5.2

Company rating: 5.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

13th of 19 rated daycare providers


Job description


We are seeking a highly analytical and results-oriented Senior Data Scientist to drive experimentation and decision science initiatives that inform key business decisions. This role will partner closely with business stakeholders to design, execute, and evaluate experiments, apply advanced statistical and causal inference methods, and deliver actionable insights that improve business outcomes.
As a senior individual contributor, you will independently lead analytics projects from problem definition through measurement and recommendation. You will help translate business questions into testable hypotheses, create rigorous treatment and control frameworks, and communicate results in a way that enables confident decision-making.
Key Responsibilities
  • Lead end-to-end experimentation and decision science projects, from framing business questions through communicating results and recommendations.
  • Design, execute, and analyze experiments, including A/B tests, quasi-experiments, matched-market tests, and causal inference studies.
  • Advise business partners on experimental design, sample size determination, power analysis, treatment and control selection, and measurement plans.
  • Develop matched-control methodologies and statistical frameworks using Python, R, SQL, and other analytics tools.
  • Apply advanced statistical techniques, regression modeling, predictive analytics, and machine learning where appropriate to support business decisions.
  • Partner with stakeholders to translate business challenges into analytical solutions and measurable outcomes.
  • Communicate findings clearly to technical and non-technical audiences, including practical implications, risks, limitations, and recommended actions.
  • Build repeatable analytical workflows and maintain high standards for code quality, reproducibility, and documentation.
  • Provide technical guidance and support to analysts and junior data scientists on experimental design and statistical methods.
  • Contribute to experimentation and decision science best practices within the analytics organization.

Required Qualifications
  • Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field with 2-4 years of experience; or Bachelor's degree with 4-6 years of experience in experimentation (mandatory), and data science or advanced analytics.
  • Strong expertise in all of the following:
    • Statistical and inferential analyses (advanced/expert level knowledge)
    • A/B testing and experimentation (advanced/expert level knowledge)
      • SME on sample sizing, market selection, creating matched controls using tools like R or Python
    • Regression and predictive modeling
    • Machine learning methods (supervised and unsupervised)
    • Big data analysis (e.g., distributed computing, PySpark)
  • Proven experience delivering experimentation and decision science projects end-to-end, including scoping, execution, stakeholder engagement, and presenting results.
  • Proficiency in Python/PySpark, R, and SQL.
  • Strong business acumen with the ability to connect analytical work to strategic and operational outcomes.
  • Excellent communication skills, with demonstrated ability to influence senior partners and simplify complex concepts.

What We're Looking For
A hands-on data scientist with strong expertise in experimentation, causal inference, and statistical analysis. The ideal candidate combines technical rigor with business curiosity and can independently translate business questions into testable hypotheses, robust experiments, and actionable recommendations. They are comfortable working cross-functionally, communicating findings to non-technical audiences, and driving measurable business impact through data-driven decision-making.
Compensation and Benefits:
  • Compensation based on position, education and experience. Bi-weekly paid.
  • Base salary range: $125-145k.
  • This position is eligible for our Support Central bonus program which is based on annual achievement of company performance.

Health and Wellness Benefits:
  • Employees are eligible for a variety of health and welfare benefits based on their Full-time or Part-time status on their date of hire, which include medical, dental, vision, healthcare & dependent care flexible spending accounts (FSAs), life insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet insurance and identity theft protection.
  • Employees are eligible to participate in our 401(k) retirement plan after 30 days of employment. Participating employees are also eligible to receive a company provided match on their elective deferrals once they reach 1 year of employment with the company.

Employee perks/discounts:
  • Education assistance including tuition reimbursement
  • Childcare discount available to all employees
  • Corporate partner Discounts
  • This position is eligible for paid time off. All Corporate employees are enrolled in our Flexible Paid Time Off (PTO) plan. This plan allows for flexibility and discretion between employees and managers in taking time off - with no set accrual for vacation or sick time. Employees can use Flexible PTO for any reason and is compliant with the Colorado Healthy Families Work Act.
  • Applications accepted through 9/18/2026.

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About Learning Care Group

Sourced by ZipRecruiter

Learning Care Group, Inc. is the second-largest for-profit child care provider in North America and a leader in early education. Our programs are designed for children aged 6 weeks to 12 years. Across our eight unique brands, we're committed to creating state-of-the-art facilities with the latest technology and expert-driven curricula created by our own Education team.

Industry

Education

Company size

10,000+ Employees

Headquarters location

Novi, MI, US

Year founded

1967

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