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Contract Databricks Data Engineer Jobs in Rochester Hills, MI

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Exposure to Databricks or similar tools (not required). * Ability to operate in a fast-paced ...

Stellantis

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...

Apex Systems

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, who can develop all components of software including user ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Stellantis

Senior Data Engineer

Auburn Hills, MI

$100K - $136K/yr

This role helps engage business, engineering and ICT stakeholders around practical data needs and ... Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Deloitte

Azure/Databricks Infrastructure Engineer

Detroit, MI · On-site

$55.25 - $73.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst Magazines

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

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Showing results 21-40

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Rochester Hills, MI

Contract Databricks Data Engineer information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do contract databricks data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for contract databricks data engineer 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 is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are popular job titles related to Contract Databricks Data Engineer jobs in Rochester Hills, MI?

For Contract Databricks Data Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Rochester Hills, MI look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Contract Databricks Data Engineer jobs?

Cities near Rochester Hills, MI with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Data Engineer

HTC Global Services

Farmington Hills, MI • On-site

$112K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Job Title: Data Engineer (Azure, Microsoft Dynamics 365 & Power BI)
Overview / Summary
The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a primary focus on transforming raw data into structured, report-ready datasets. This role works extensively with data sourced from Microsoft Dynamics 365 via Synapse Link, transforming Bronze data into curated Silver datasets within the organization's data lake to support reporting, analytics, and business decision-making.
The Data Engineer is also responsible for automating data pipelines, enabling report delivery, and assisting in the creation of reports and dashboards within the Microsoft ecosystem, including Power BI, Azure, and Synapse. This role partners closely with business stakeholders to translate reporting requirements into technical data solutions.
Key Responsibilities
  • Design, build, and maintain data pipelines to transform raw Bronze data into curated Silver datasets.
  • Develop and maintain data structures within the data lake to support reporting and analytics.
  • Work with data sourced from Microsoft Dynamics 365 via Synapse Link and other internal systems.
  • Create and maintain data models using joins, transformations, and normalization to improve usability and performance.
  • Ensure data quality, consistency, and integrity across datasets.
  • Validate Gold data against source systems.
  • Maintain and optimize the performance of data transformations and queries.
  • Support integration between data sources, reporting tools, and downstream systems.
  • Assist in defining and evolving data architecture standards (Bronze → Silver → Gold).
  • Build and maintain datasets used for reporting and analytics.
  • Create and enhance Power BI dashboards and reports based on business needs.
  • Work with stakeholders to define reporting requirements and translate them into technical solutions.
  • Optimize data for efficient reporting and visualization performance.
  • Automate data refreshes, report delivery, and scheduled processes.
  • Build workflows and automation for data movement and reporting pipelines.
  • Support integration and automation within the Microsoft ecosystem, including Azure services and Power Platform.
  • Work directly with business stakeholders across Finance, Operations, Supply Chain, and other departments to understand reporting needs.
  • Translate business requirements into data models and reporting solutions.
  • Support ad hoc data requests and analysis.
  • Provide guidance on best practices for data usage and reporting.
  • Document data pipelines, transformations, and architecture.
  • Ensure data governance practices are followed, including naming standards and documentation.
  • Maintain visibility into how data flows from source systems to reports.

Required Qualifications
  • 3+ years of experience in data engineering, data analytics, or a related role.
  • Experience working with Azure data platforms (such as Data Lake, Synapse, or similar).
  • Strong SQL skills and experience working with relational data.
  • Experience building data transformations and working with structured and unstructured datasets.
  • Experience supporting reporting and analytics workflows.
  • Strong understanding of data modeling and data pipeline concepts.
  • Strong problem-solving and analytical skills.
  • Experience working with Microsoft Dynamics 365 data (Synapse Link, Dataverse, etc.).
  • Experience with Power BI, including dashboard creation, data modeling, and DAX.
  • Experience with the medallion architecture (Bronze / Silver / Gold).
  • Familiarity with Azure services such as Data Factory, Synapse, or Power Platform.
  • Experience with data integration across multiple systems (ERP, eCommerce, etc.).
  • Exposure to Databricks or similar tools (not required).
  • Ability to operate in a fast-paced environment with shifting priorities.
  • Strong collaboration skills across business and technical teams.
  • Self-driven with the ability to own data pipelines and reporting solutions end-to-end.
  • Detail-oriented with a focus on data accuracy and consistency.
  • Strong communication skills with the ability to explain complex data concepts in simple terms.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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