Pay
Lower than most similar jobs
$45K–$110K against $127K–$190K, the middle half of what similar US postings state.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Tampa, USA-FL, US, 33634
Actively hiring, first seen by us todayExperience: 3-5 Years . The expected compensation for this role ranges from $45,000 to $110,000 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.Read the full posting
Convert business requirement documents into Spark and Java technical solutions
Develop, enhance and maintain large-scale applications using Apache Spark and Java
Support and optimize existing Spark applications and ETL workflows
Tune Spark code and improve performance
Ensure batch and streaming job executions complete successfully
Analyze and understand Business Requirement Documents (BRDs) and convert business requirements into technical solutions
Develop, enhance and maintain large-scale applications using Apache Spark & Java
Understand, support and optimize existing Spark applications and ETL workflows
Handle code optimization, Spark tuning and performance improvement activities
Ensure successful completion of newly developed batch/streaming job executions
Experience: 3-5 Years
Apache Spark (Core, Spark SQL, DataFrame API)
Java, Spring boot, microservises, Restful API
Hadoop Ecosystem · Data Processing and ETL Frameworks
SQL and Database Technologies
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description Role: Data Engineer - Spark & Java Location: Irving, TX(3 Days onsite/week) Job Description: Having good knowledge in Spark – Java application development. Along with good Java knowledge should have good Data side flavor like data transformation/ETL related exposure to handle E2E application dev activities
Role: Data Engineer - Spark & Java Location: Irving, TX(3 Days onsite/week) Job Description: Having good knowledge in Spark – Java application development. Along with good Java knowledge should have good Data side flavor like data transformation/ETL related exposure to handle E2E application dev activities Key Responsibilities: · Analyze and understand Business Requirement Documents (BRDs) and convert business requirements into technical solutions · Develop, enhance and maintain large-scale applications using Apache Spark & Java · Understand, support and optimize existing Spark applications and ETL workflows · Implement Spark-based data processing logic as per project requirements · Ensure successful completion of newly developed batch/streaming job executions · Handle code optimization, Spark tuning and performance improvement activities · Ensure adherence to coding standards, best practices and operational procedures · Troubleshoot data quality, data ingestion, and Salt Lake related issues. · Support releases/deployments and post-release sanilty/validations · Contribute to technical documentation, knowledge sharing, and continuous process improvements
Job Description: Having good knowledge in Spark – Java application development. Along with good Java knowledge should have good Data side flavor like data transformation/ETL related exposure to handle E2E application dev activities Key Responsibilities: · Analyze and understand Business Requirement Documents (BRDs) and convert business requirements into technical solutions · Develop, enhance and maintain large-scale applications using Apache Spark & Java · Understand, support and optimize existing Spark applications and ETL workflows · Implement Spark-based data processing logic as per project requirements · Ensure successful completion of newly developed batch/streaming job executions · Handle code optimization, Spark tuning and performance improvement activities · Ensure adherence to coding standards, best practices and operational procedures · Troubleshoot data quality, data ingestion, and Salt Lake related issues. · Support releases/deployments and post-release sanilty/validations · Contribute to technical documentation, knowledge sharing, and continuous process improvements Required Skills: · Apache Spark (Core, Spark SQL, DataFrame API) · Hadoop Ecosystem · Data Processing and ETL Frameworks · SQL and Database Technologies · Java, Spring boot, microservises, Restful API · Unix/Linux Shell Scripting · Git Version Control · Performance Tuning and Optimization · Distributed Computing Concepts
Key Responsibilities: · Analyze and understand Business Requirement Documents (BRDs) and convert business requirements into technical solutions · Develop, enhance and maintain large-scale applications using Apache Spark & Java · Understand, support and optimize existing Spark applications and ETL workflows · Implement Spark-based data processing logic as per project requirements · Ensure successful completion of newly developed batch/streaming job executions · Handle code optimization, Spark tuning and performance improvement activities · Ensure adherence to coding standards, best practices and operational procedures · Troubleshoot data quality, data ingestion, and Salt Lake related issues. · Support releases/deployments and post-release sanilty/validations · Contribute to technical documentation, knowledge sharing, and continuous process improvements Required Skills: · Apache Spark (Core, Spark SQL, DataFrame API) · Hadoop Ecosystem · Data Processing and ETL Frameworks · SQL and Database Technologies · Java, Spring boot, microservises, Restful API · Unix/Linux Shell Scripting · Git Version Control · Performance Tuning and Optimization · Distributed Computing Concepts Mandatory Skills: Spark Open Source .
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$45K–$110K against $127K–$190K, the middle half of what similar US postings state.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 12,292 similar postings that came down. Coming down is not always a hire.
164 open jobs
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Role: Data Engineer - Spark & Java
Location: Irving, TX(3 Days onsite/week)
Job Description:
Having good knowledge in Spark – Java application development. Along with good Java knowledge should have good Data side flavor like data transformation/ETL related exposure to handle E2E application dev activities
Key Responsibilities:
· Analyze and understand Business Requirement Documents (BRDs) and convert business requirements into technical solutions
· Develop, enhance and maintain large-scale applications using Apache Spark & Java
· Understand, support and optimize existing Spark applications and ETL workflows
· Implement Spark-based data processing logic as per project requirements
· Ensure successful completion of newly developed batch/streaming job executions
· Handle code optimization, Spark tuning and performance improvement activities
· Ensure adherence to coding standards, best practices and operational procedures
· Troubleshoot data quality, data ingestion, and Salt Lake related issues.
· Support releases/deployments and post-release sanilty/validations
· Contribute to technical documentation, knowledge sharing, and continuous process improvements
Required Skills:
· Apache Spark (Core, Spark SQL, DataFrame API)
· Hadoop Ecosystem · Data Processing and ETL Frameworks
· SQL and Database Technologies
· Java, Spring boot, microservises, Restful API
· Unix/Linux Shell Scripting
· Git Version Control
· Performance Tuning and Optimization
· Distributed Computing Concepts
Mandatory Skills: Spark Open Source .
Experience: 3-5 Years .
The expected compensation for this role ranges from $45,000 to $110,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Experience: 3-5 Years . The expected compensation for this role ranges from $45,000 to $110,000 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Tampa, USA-FL, US, 33634
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting