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Java Data Engineer Jobs in Burlington, NC (NOW HIRING)

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Business Data Analyst

Greensboro, NC · On-site

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

XDIN

Diagnostic Engineer

Greensboro, NC

Programming languages, such as C# and Java * Agile methodologies * Knowledge on GUI automatons , test case generation ( preferred, not mandatory) * Attention to Detail: Provide accurate data and ...

XDIN

Diagnostic Engineer

Greensboro, NC · On-site

Programming languages, such as C# and Java * Agile methodologies * Knowledge on GUI automatons , test case generation ( preferred, not mandatory) * Attention to Detail: Provide accurate data and ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Burlington, NC

Java Data Engineer information

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$22

$50

$71

How much do java data engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for java data engineer in Burlington, NC is $50.44, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $56.97 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 are popular job titles related to Java Data Engineer jobs in Burlington, NC? For Java Data Engineer jobs in Burlington, NC, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Burlington, NC look for? The top searched job categories for Java Data Engineer jobs in Burlington, NC are:
What cities near Burlington, NC are hiring for Java Data Engineer jobs? Cities near Burlington, NC with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Managed Services - Data Engineer - Experienced Associate

Managed Services - Data Engineer - Experienced Associate

Pwc

Greensboro, NC

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.
Responsibilities
- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
What You Must Have
- At least a Bachelor's degree
- At least 1 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 proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. 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

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