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Java Data Engineer Jobs in Farmington Hills, MI (NOW HIRING)

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

... Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems ... Engineer 3 Exp: 7+ years Data Engineering work experience Education Required: * Bachelor's Degree ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Experience integrating APIs and handling structured/unstructured data * Familiarity with Git and ...

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Stefanini is looking for a Java Developer, Dearborn, MI For quick apply, please reach out to Adil ... data, and application layers. Provide technical guidance on cloud architecture, security, and ...

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Stefanini is looking for a Java Developer, Dearborn, MI For quick apply, please reach out to Adil ... data, and application layers.Provide technical guidance on cloud architecture, security, and ...

Java Developer

Dearborn, MI

$46.75 - $60.75/hr

Title :- Java Developer Contract: 6 months + Location: Dearborn, MI Essential Job 1. Design and ... Functions: 2. Perform data migration and conversion activities. 3. Develop and integrate software ...

JAVA Developer

Dearborn, MI

$46.75 - $60.75/hr

JAVA Developer No. of positions: 15 Location: Dearborn, MI Desired start date: 12/05/2015 Must Have ... with Data Modeling, RDBMS - Experience in application design, design patterns and performance ...

Java Developer

Ann Arbor, MI

$50 - $64.50/hr

Java Developer with strong experience on ETL and Cognos Must have skills: * Java * J2EE * JAVA ... Linux/Unix * Shell Scripts * ETL Tool - Data Services * Business Objects/Cognos * Vendor ...

Showing results 41-60

Java Data Engineer information

See Farmington Hills, MI salary details

$26

$59

$83

How much do java data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for java data engineer in Farmington Hills, MI is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $67.16 per hour, depending on experience, location, and employer.

What is a Java data engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What are the key skills and qualifications needed to thrive as a Java data engineer?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java data engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What cities near Farmington Hills, MI are hiring for Java Data Engineer jobs?

Cities near Farmington Hills, MI with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Farmington Hills, MI as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $123,671 per year, or $59.5 per hour.

Data Engineering Engineer

FastTek

Dearborn, MI

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Data Engineering Engineer 3 #1062388
Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately
Key Responsibilities:
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:
  • GCP Cloud Run, KAFKA, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, Big Query, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API

Experience Required:
  • Engineer 3 Exp: 7+ years Data Engineering work experience

Education Required:
  • Bachelor's Degree

Additional Information:
  • Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
  • Ensure data is standardized, high-quality, and optimized for analytical use.
  • Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
  • Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
  • Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
  • Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data.
  • Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
  • Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
  • Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
  • Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
  • Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
  • Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.