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Data Engineer Contract Jobs in Rochester Hills, MI

Element Materials Technology

Data Processor

Detroit, MI · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Element Materials Technology

Data Processor

Warren, MI · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Stem Xpert

Data Reporting Analyst III

Detroit, MI

Company Description Qualifications Data Reporting Analyst III. Detroit 6 month contract Description ... Developer will partner with business personnel to complete analysis of business needs and ...

SER Metro-Detroit

Youth Data and Program Lead

Detroit, MI · On-site

$53K - $58K/yr

The Youth Services Data & Programming Lead provides leadership for front-end program operations by ... and improve contract outcomes. * Excellent communication and relationship-building skills with ...

Stefanini

Workforce Management Consultant

Dearborn, MI · On-site

Candidate will act as both a System Administrator and a Data Engineer, responsible for technical ... contracts, labor laws, and work rules into system logic Manage platform governance, security roles ...

CrossFire Group

Engineer III

Detroit, MI · Hybrid

$50/hr

Engineer III (Hybrid Detroit, MI) Pay Rate: $50/hour Employment Type: Long-term contract with ... Deliver data-driven insights and recommendations to support strategic decision-making Required ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

... with clear contracts and Pydantic validation Evaluation and Reliability * Build evaluation ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

... with clear contracts and Pydantic validation Evaluation and Reliability * Build evaluation ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

... with clear contracts and Pydantic validation Evaluation and Reliability * Build evaluation ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Epitec

Product Engineer Powertrain

Dearborn, MI · On-site

$35 - $37/hr

Type: Contract * Job #103766 Position: Powertrain Diagnostics Engineer Location: Dearborn, MI ... Perform/oversee HIL, on-road, and dynamometer data collection to calibrate and validate sensor ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Rochester Hills, MI

Data Engineer Contract information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do data engineer contract jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer contract in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Rochester Hills, MI? The most popular types of Data Engineer jobs in Rochester Hills, MI are:
What are popular job titles related to Data Engineer Contract jobs in Rochester Hills, MI? For Data Engineer Contract jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Rochester Hills, MI look for? The top searched job categories for Data Engineer Contract jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Data Engineer Contract jobs? Cities near Rochester Hills, MI with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Director, Product Management - Data Intelligence Foundation

Relativity

Detroit, MI • On-site

Other

Posted 3 days ago

New

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs (~# engineers):

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$188,000 and $282,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

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