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Java Data Engineer Jobs in Arlington, TX (NOW HIRING)

Lead Data Engineer

Dallas, TX · On-site

$110.10K - $132.30K/yr

Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. * Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache ...

Data Engineer

Dallas, TX

$113.30K - $136K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

Plano, TX

$109.60K - $131.60K/yr

The Data Engineer will take a prominent role in leading full stack development projects ... Java * JavaScript * Linux Shell Scripting * Microsoft Azure SQL * NoSQL * PySpark * Python ...

New

Senior Data Engineer

Dallas, TX · On-site

$104.90K - $142.40K/yr

Develop scalable solutions using Scala, Python, and Java for big data processing. * Integrate ... Programming: Strong proficiency in Scala, Python, Java . * Infrastructure as Code (IaC): Terraform ...

JB061399 - Data Engineer

Westlake, TX · On-site

$109.90K - $132K/yr

Data Engineer Location: Westlake, TX Duration: 12+ months Rate: 60-70/hr on W2 US Citizen and Green ... Demonstrated experience in programming - Python, Java, Unix, etc. * Experience with DevOps or CI/CD ...

Lead Data Engineer

Plano, TX

$109.60K - $131.60K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Lead Data Engineer

Plano, TX · On-site

$109.60K - $131.60K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Lead Data Engineer

Plano, TX · On-site

$109.60K - $131.60K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Lead Data Engineer

Plano, TX

$109.60K - $131.60K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Data Engineer - F2F Interview

Plano, TX · On-site

$109.60K - $131.60K/yr

Data Engineer/SQL/Python OR Java/Banking or FIS Required Location: ONSITE PLANO, TX - FIVE DAYS A WEEK Interview Required: Video & Onsite final Be part of a dynamic team where your distinctive skills ...

Lead Data Engineer

Irving, TX

$98.40K - $129.60K/yr

Advanced skills in programming and scripting languages (e.g., Python, Java, Scala) for developing and automating data workflows. * Experience with real-time data processing and event-driven ...

Data Engineer

Plano, TX · On-site

$109.60K - $131.60K/yr

... Data Engineer, having built large and complex data pipelines * Experience designing, building and ... using Java, Scala. * Must have experience with infrastructure-as-code tools such as Terraform ...

AIA Data Engineer

Dallas, TX · On-site

$105.70K - $126.90K/yr

... java/SQL programming in cloud environment to load the data into Snowflake - Unit Test the Data Ingestions jobs - Support Quality Engineer 3.Experience 10to12yrs 4.Required Skills Technical Skills ...

Lead Data Engineer

Plano, TX

$98.10K - $129.20K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

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Java Data Engineer information

See Arlington, TX salary details

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How much do java data engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for java data engineer in Arlington, TX is $54.38, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.44 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Java Data Engineer jobs in Arlington, TX look for? The top searched job categories for Java Data Engineer jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Java Data Engineer jobs? Cities near Arlington, TX with the most Java Data Engineer job openings:
Infographic showing various Java Data Engineer job openings in Arlington, TX as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,106 per year, or $54.4 per hour.
Lead Data Engineer

$110.10K - $132.30K/yr

Full-time

Posted 27 days ago


Coca-Cola Southwest Beverages rating

7.8

Company rating: 7.8 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

92nd of 378 rated food and drinks producers


Job description

Req ID: 247432
General Purpose
This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure.
Duties and Responsibilities
  • Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables
  • Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance
  • Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations
  • Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure
  • Ensure technical alignment with the Data Engineering team from HQ.

Qualifications
  • Bachelor's degree in computer science, software engineering, information technology, or a related field.
  • Advanced degree is a plus.
  • 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure.
  • 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance
  • A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling.
  • Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
  • Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks.
  • Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing.
  • Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance.
  • 30% travel projected

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

What Coca-Cola Southwest Beverages employees say

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About Coca-Cola Southwest Beverages

Sourced by ZipRecruiter

At Coca-Cola Southwest Beverages, our employees are a key asset for our success to satisfy our consumers' needs and provide them with the highest quality beverages for every occasion and lifestyle. We deliver on our commitments and build an environment where change and innovation are supported and acted upon. We are people focused. Whether it is our team members or our internal and external customers, we strive on delivering the results and work transparently in everything we do and say. We expect, and depend on, open and honest communication, in the good times and bad, for our company's success.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

2017