Pay
Lower than most similar jobs
$60K–$135K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Engineering Lead Data Science & Machine Learning - L1
Dallas, USA-TX, US, 18612
Actively hiring, first seen by us today- Pay
$60,000–135,000/yearAnnual period assumed — pay source
Experience: 5-8 Years . The expected compensation for this role ranges from $60,000 to $135,000 . 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- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and build CI/CD pipelines that push code to dev and prod environments
Validate configurations and integrate new applications during deployment
Prepare user training documents and frameworks for new applications
Gather and refine requirements with project managers and client stakeholders
Keep technical documents, diagrams and status reports aligned with project goals
From the employer’s posting
design and develop CICD pipelines that can push the code to different development and prod environments
Collaborate with technical teams to validate configurations, facilitate integration of new applications
Prepare user training documents and related frameworks
Engage with project managers, client stakeholders, and technical team to gather and refine requirements
Ensure that all technical documents, flowcharts, layouts, and diagrams align with project objectives.
What you’ll bring
All qualificationsCore experience
- 7+ years of experience in Python, ETL data handling and SQL
- 5 years of Spark and Databricks programming
- Advanced proficiency in Python, Scala, and/or SQL
- 5 years of logging, monitoring and alerting systems experience
- Experience with software development life cycle and CI/CD pipelines
Qualification wording
Should have 7+ years of experience in Python, ETL data handling, SQL.
5 years of experience in Spark and Databricks programming
Advanced proficiency in Python, Scala, and/or SQL for data processing and application development.
Must have 5 years of experience in Logging, Monitoring and Alerting systems.
Should have very good experience in software development life cycle
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Wipro is hiring
173 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- SQL
- Azure
- Databricks
- Spark
Where the posting names them
Top 3 skillsets: Python , Databricks, Azure Cloud, spark , Azure ML and good Application development skills. Nice to have skillsets: Java, Spring, Good knowledge of different services in Azure. Excellent communication skills Describe a great candidate that you are looking for and what skills and experience they will have:
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 Top 3 skillsets: Python , Databricks, Azure Cloud, spark , Azure ML and good Application development skills. Nice to have skillsets: Java, Spring, Good knowledge of different services in Azure. Excellent communication skills
Describe a great candidate that you are looking for and what skills and experience they will have: • Should have 7+ years of experience in Python, ETL data handling, SQL. • Should have experience in using AI tools for better productivity. • Advanced proficiency in Python, Scala, and/or SQL for data processing and application development. • 5 years of experience in Spark and Databricks programming • Should have very good experience in software development life cycle • Must be able to design and develop CICD pipelines that can push the code to different development and prod environments preferably to Azure using git actions • Must have 5 years of experience in Logging, Monitoring and Alerting systems.
• Should have 7+ years of experience in Python, ETL data handling, SQL. • Should have experience in using AI tools for better productivity. • Advanced proficiency in Python, Scala, and/or SQL for data processing and application development. • 5 years of experience in Spark and Databricks programming • Should have very good experience in software development life cycle • Must be able to design and develop CICD pipelines that can push the code to different development and prod environments preferably to Azure using git actions • Must have 5 years of experience in Logging, Monitoring and Alerting systems. ͏
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About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
Job description
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
Top 3 skillsets: Python , Databricks, Azure Cloud, spark , Azure ML and good Application development skills.
Nice to have skillsets: Java, Spring, Good knowledge of different services in Azure. Excellent communication skills
Describe a great candidate that you are looking for and what skills and experience they will have:
• Should have 7+ years of experience in Python, ETL data handling, SQL.
• Should have experience in using AI tools for better productivity.
• Advanced proficiency in Python, Scala, and/or SQL for data processing and application development.
• Should have experience in using AI tools for better productivity.
• Advanced proficiency in Python, Scala, and/or SQL for data processing and application development.
• 5 years of experience in Spark and Databricks programming
• Should have very good experience in software development life cycle
• Must be able to design and develop CICD pipelines that can push the code to different development and prod environments preferably to Azure using git actions
• Must have 5 years of experience in Logging, Monitoring and Alerting systems.
• Should have very good experience in software development life cycle
• Must be able to design and develop CICD pipelines that can push the code to different development and prod environments preferably to Azure using git actions
• Must have 5 years of experience in Logging, Monitoring and Alerting systems.
͏
Implementation :
Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
Maintain Documentation :
Ensure that all technical documents, flowcharts, layouts, and diagrams align with project objectives.
Collate and submit project specification, project progress, resource requirements and status reports for the review of Project Manager.
Stakeholder Collaboration :
Engage with project managers, client stakeholders, and technical team to gather and refine requirements and define technical expectations.
Work with internal and external stakeholders to gather feedback, align deliverables, evaluate software–hardware interactions, and define specifications to meet performance requirements.
Innovation :
Develop improved testing and programming practices using innovative methods to enhance automation and ensure the delivery of error free codes.
Mandatory Skills: Machine Learning .
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
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.
Source details
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- Pay
Experience: 5-8 Years . The expected compensation for this role ranges from $60,000 to $135,000 . 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.
- Location & working pattern
Dallas, USA-TX, US, 18612
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.