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Contract Data Engineering Jobs in Michigan (NOW HIRING)

Data Engineering Engineer 3 Work location Dearborn, MI Ideal to be local but not required. 12 month contract. NO H1s Resources will be in office 4 days a week. Teams Video interview 1 hour - 1 round ...

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions-including AI agents, automated data ...

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions--including AI agents, automated data ...

Data Engineer

Sterling Heights, MI

$106K - $128K/yr

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions-including AI agents, automated data ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

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 Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... union contracts, labor laws, and work rules into system logic • Manage platform governance ... Data Engineering work experience Education Required: Bachelor's Degree Education Preferred:

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Duration: 12 month contract. Additional Information: Hybrid Position Currently 2-3 days a week, but ... Core DataOps & Engineering Skills: · Proven experience as a DataOps Engineer, Data Engineer, or ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... contract it exposes to everyone downstream. • Design and evolve our fleet of pipelines that pull ... Required : • 4+ years in data engineering or a closely related role. • Strong Python and SQL ...

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... data engineering, particularly with PySpark, Python and SQL. • Experience designing and ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month contract. Additional Information: Resources will be in office 4 days a week. Teams Video interview 1 hour ...

Azure Fabric Data engineer

Novi, MI · On-site

$60K - $135K/yr

Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ... Novi, MI Contract Required Skills & Qualifications: * Bachelor's Degree or equivalent in Computers ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... clean contracts between layers * Deep understanding of data pipeline design, with fluency in the ... Strong software engineering fundamentals, with the depth to evaluate code quality and set ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $180K/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 ...

Data / Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

... creating contracts, and provide architectural guidance for the implementation of the IS data ... Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of ...

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

... Contract Location: Hybrid - 4 days/week onsite Description: This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to support connected vehicle data and ...

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Showing results 1-20

Contract Data Engineering information

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. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
What are the most commonly searched types of Data Engineering jobs in Michigan? The most popular types of Data Engineering jobs in Michigan are:
What are popular job titles related to Contract Data Engineering jobs in Michigan? For Contract Data Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Michigan look for? The top searched job categories for Contract Data Engineering jobs in Michigan are:
What cities in Michigan are hiring for Contract Data Engineering jobs? Cities in Michigan with the most Contract Data Engineering job openings:
Data Engineering Manager

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI • On-site, Remote

Full-time

Retirement, PTO

Posted 20 days ago


Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.

Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.

Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.

 Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
  What You’ll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
  Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
  What You’ll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.
  Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.
  About Hastings Insurance:

For more than 135 years, Hastings Insurance has helped individuals, families, and businesses protect what matters most. As a trusted partner to independent agents and policyholders, we've earned a reputation for financial strength, exceptional service, and long-term stability, including an A (Excellent) financial strength rating from A.M. Best.

While we're proud of our history, we're equally focused on the future. We're investing in technology, strengthening partnerships with independent agents, and continuously evolving our products and services to meet the changing needs of our customers.

Just as importantly, we're investing in our people. Employees enjoy a collaborative, down-to-earth culture where initiative is valued, growth is encouraged, and good work is recognized. We offer competitive pay and benefits, including a 401(k) with company matching contributions, generous paid time off, tuition and professional development assistance, and company performance-based incentive compensation opportunities.

 Our Organizational Commitment:

At Hastings Insurance, we believe our people are our greatest strength. We foster a workplace where employees are treated with respect, supported in their growth, and empowered to contribute. We know that diverse perspectives lead to stronger collaboration, better decisions, and better outcomes for our customers and communities.

We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any legally protected characteristic.

If you require a reasonable accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.