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

CVS Health

Sr. Data Engineer

High Point, NC · On-site

$83K - $166K/yr

Data analysis for retail and/or healthcare industries ... Programming in Java, Python, or R; SAS or SQL programming languages; and Databases: Oracle ...

1 point system

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 · 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 ...

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 ...

Labcorp

Lead Test Automation Engineer

Burlington, NC · On-site

$38.50 - $50.75/hr

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Java, .NET, C#, Python, TypeScript) Preferred Qualifications: * 8 or more years of software test ...

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Java Data Engineer information

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How much do java data engineer jobs pay per hour?

As of Jul 8, 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
Sr. Data Engineer

Sr. Data Engineer

CVS Health

High Point, NC • On-site

$83K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,274 frontline employees who took The Breakroom Quiz

80th of 103 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in High Point, NC: Sr. Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; Data analysis for retail and/or healthcare industries; Programming in Java, Python, or R; SAS or SQL programming languages; and Databases: Oracle, Teradata, or DB2. Pay Range: $83430.00/year to $166860.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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