1

Java Data Engineer Jobs in New Baltimore, MI (NOW HIRING)

... Java, or Shell scripting for data operations. - Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform). - Knowledge of data ...

Integrate applications with Databricks and AWS-based data platforms to support data processing ... Strong experience in backend development using Python, Java, Node.js, or similar technologies

next page

Showing results 1-20

Java Data Engineer information

See New Baltimore, MI salary details

$24

$54

$77

How much do java data engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for java data engineer in New Baltimore, MI is $54.90, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.02 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 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 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 are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

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 cities near New Baltimore, MI are hiring for Java Data Engineer jobs? Cities near New Baltimore, MI with the most Java Data Engineer job openings:
Managed Services - Senior Data Engineer - Senior Manager

Managed Services - Senior Data Engineer - Senior Manager

Pwc

Detroit, MI

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data and analytics, making a significant impact on both client success and the growth of our practice.
Responsibilities
- Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
- Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
- Building and maintaining data pipelines and architectures to support business intelligence efforts -(DataStage, ETL)
- Implementing data visualization tools to provide actionable insights and improve client outcomes -(SQL Server, DB2)
- Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
- Validating outcomes with clients and acting on feedback to refine solutions -(CSAT and performance tuning)
- Directing teams through ambiguous and challenging situations with composure and sound judgment
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating advanced skills in data architecture development and data pipeline management
- Utilizing Python and Java for complex data analysis and visualization
- Excelling in business intelligence tools like QlikView and Oracle BI
- Leading strategic questioning and stakeholder engagement initiatives
- Applying systems thinking to identify and address underlying problems
- Directing teams through complex and ambiguous situations

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom