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Contract Data Engineering Jobs in Michigan (NOW HIRING)

Data Engineer

Dearborn, MI ยท 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 ...

Data Scientist

Southfield, MI ยท On-site

$128K/yr

Type: Contract * Job #104223 Employer: Epitec, Inc. Position: Data Scientist (Job Code: 1392 ... feature engineering, model development, and deployment workflows, optimizing for performance ...

Senior Robotics Data Engineer - Only W2

Warren, MI ยท On-site

$99K - $135K/yr

W2 Contract Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: ยท Design and implement scalable data ...

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Principal Data Engineer

Ann Arbor, MI ยท 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 ยท 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 ...

Sr. Data Engineer

East Lansing, MI ยท On-site

$110K - $132K/yr

Lansing, MI (Onsite-Hybrid) Duration: Long term contract Mode of Interview: In-Person interview ... Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms ...

Data/ Information Architect

Dearborn, MI ยท 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 ...

Sr. Data Engineer

East Lansing, MI

$110K - $132K/yr

\n \n \n Job Title: Sr. Data Engineer \- MS Fabric, ETL\/ELT, Data Modelling, and Cloud platforms ... Lansing, MI (Onsite\-Hybrid) Duration: Long term contract Mode of Interview: In\-Person interview ...

Contracts Manager (TS/CSI) {S}

Ypsilanti, MI ยท On-site

$80K - $107K/yr

Legal, Business Development, Program Management, Engineering, Finance, Supply Chain etc.) in ... Support Contract data input/entry into SAP Required Qualifications: * Minimum of 5 years relevant ...

Contracts Manager (TS/CSI) {S}

Ypsilanti, MI ยท Hybrid

$80K - $107K/yr

Legal, Business Development, Program Management, Engineering, Finance, Supply Chain etc.) in ... Support Contract data input/entry into SAP Required Qualifications: * Minimum of 5 years relevant ...

Senior Data Engineer

Detroit, MI ยท Remote

$104K - $142K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... This position description does not constitute a written or implied contract of employment.

Snowflake Data Analyst

Detroit, MI ยท On-site

$45 - $55/hr

THIS IS A W2 CONTRACT POSITION W2 CANIDATES APPLYING DIRECTLY (NO STAFFING/3RD PARTY) CANDIDATES ... Partner with Data Engineering teams to improve data availability and reporting capabilities.

Sr. Data Engineer - Lansing, MI

Lansing, MI ยท On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible ...

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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 Engineer

Data Engineer

MM International

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Contractor

Posted 12 hours ago


Job description

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 โ€“ 1 round

Job Description:

ยทย ย ย ย ย ย  Our Company is embarking on a critical digital transformation initiative to modernize its timekeeping infrastructure across the US and Canada.

ยทย ย ย ย ย ย  We are seeking an experienced and highly skilled Technical Consultant to play a pivotal role in replacing our legacy timekeeping applications, TWOS and Kronos, with a state-of-the-art WorkForce Software solution for our hourly employee population.

ยทย ย ย ย ย ย  This role is essential to ensuring a seamless transition and establishing a robust, integrated workforce management system that supports Company's operational excellence.

ยทย ย ย ย ย ย  As a Technical Consultant, you will leverage your deep technical expertise to own complex integrations, understand and configure the application environment, contribute to our data lake strategy, and develop comprehensive reporting and dashboarding solutions.

ยทย ย ย ย ย ย  This is an opportunity to make a significant impact on how manages its workforce, driving efficiency and accuracy in a large-scale enterprise environment.

Responsibilities:

ยทย ย ย ย ย ย  Integration Ownership: Design, develop, implement, and maintain robust integrations between WorkForce Software and various internal and external systems, ensuring seamless data flow and process synchronization. This includes utilizing web services (SOAP, REST) and other integration technologies.

ยทย ย ย ย ย ย  Application Environment Expertise: Possess in-depth knowledge of WorkForce Software configuration, modules (Time, Scheduling, Integrations), and functionalities to effectively tailor the system to Company's specific business requirements and policies.

ยทย ย ย ย ย ย  Data Lake Contribution: Collaborate with data architecture teams to ensure WorkForce Software data is accurately captured, transformed, and integrated into Company's data lake, supporting advanced analytics and insights.

ยทย ย ย ย ย ย  Reporting & Dashboarding: Lead the design, development, and implementation of custom reports and dashboards within WorkForce Software, providing key stakeholders with actionable insights into workforce data, timekeeping metrics, and compliance.

ยทย ย ย ย ย ย  Technical Consultation: Provide expert technical guidance and support throughout the project lifecycle, including requirements gathering, solution design, testing, deployment, and post-implementation support.

ยทย ย ย ย ย ย  Troubleshooting & Optimization: Identify, analyze, and resolve complex technical issues related to WorkForce Software, integrations, and data processes, ensuring system stability and optimal performance.

ยทย ย ย ย ย ย  Documentation: Create and maintain comprehensive technical documentation, including integration specifications, configuration guides, and reporting logic.

ยทย ย ย ย ย ย  Collaboration: Work closely with cross-functional teams, including HR, Payroll, IT, Labor Affairs, and analytics teams, to ensure alignment and successful project delivery.

Skills Required:

ยทย ย ย ย ย ย  System Design

ยทย ย ย ย ย ย  Systems Engineering

ยทย ย ย ย ย ย  Testing

ยทย ย ย ย ย ย  SaaS

ยทย ย ย ย ย ย  Workforce Management

ยทย ย ย ย ย ย  Software Documentation

ยทย ย ย ย ย ย  SQL

ยทย ย ย ย ย ย  Oracle

ยทย ย ย ย ย ย  Web Applications

ยทย ย ย ย ย ย  System Administration

ยทย ย ย ย ย ย  Six Sigma Methodology

ยทย ย ย ย ย ย  Warehousing

ยทย ย ย ย ย ย  Access Controls

ยทย ย ย ย ย ย  API

ยทย ย ย ย ย ย  GCP

Experience Required:

ยทย ย ย ย ย ย  Engineer 3 Exp: 7+ years Data Engineering work experience

Experience Preferred:

Basic Qualifications:

ยทย ย ย ย ย ย  Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.

ยทย ย ย ย ย ย  5+ years of extensive experience in the implementation, configuration, and support of WorkForce Software (WFS) or other enterprise-level Workforce Management (WFM) systems.

ยทย ย ย ย ย ย  Proven experience owning and delivering complex system integrations, including working with APIs, web services (SOAP, REST), and ETL processes.

ยทย ย ย ย ย ย  Strong proficiency in SQL for data querying, analysis, and reporting.

ยทย ย ย ย ย ย  Experience with data architecture concepts and integrating data into data lakes or similar analytical platforms.

ยทย ย ย ย ย ย  Demonstrated experience in designing and developing reports and dashboards.

ยทย ย ย ย ย ย  Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts to non-technical stakeholders.

Preferred Qualifications:

ยทย ย ย ย ย ย  Master's degree in a relevant technical field.

ยทย ย ย ย ย ย  WorkForce Software certifications.

ยทย ย ย ย ย ย  Experience with other scripting languages such as JavaScript.

ยทย ย ย ย ย ย  Prior experience with large-scale HRIS or payroll system implementations.

ยทย ย ย ย ย ย  Familiarity with Global Data & Insight & Analytics (GDIA) processes and tools.

ยทย ย ย ย ย ย  Experience working in the automotive industry or a large manufacturing environment with hourly employee populations.

ยทย ย ย ย ย ย  Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

Education Required:

ยทย ย ย ย ย ย  Bachelor's Degree