Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
Dallas, Texas, United States
Live, first seen by us 26 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and maintain scalable data pipelines using Databricks, Spark, Python, and Scala
Develop and optimize ETL/ELT processes for ingestion and transformation
Tune and troubleshoot Spark applications for performance and reliability
Schedule and monitor batch jobs and workflow dependencies in Control-M
Resolve job failures and support production deployments and incidents
From the employer’s posting
Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, Python, and Scala.
Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources.
Develop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliability.
Use Control-M to schedule, monitor, and manage batch jobs, workflow dependencies, and data processing pipelines.
Support production deployments, incident resolution, and ongoing maintenance of data engineering solutions.
What you’ll bring
All qualificationsCore experience
- 8+ years of overall Data Engineering experience.
- Proficiency in Python and Scala for data processing and application development.
- Hands-on experience with Hadoop and big data technologies.
- Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management.
- Strong understanding of ETL/ELT processes, data transformations, and distributed data processing.
- Experience in performance tuning, debugging, troubleshooting, and production support.
Qualification wording
8+ years of overall Data Engineering experience.
Proficiency in Python and Scala for data processing and application development.
Hands-on experience with Hadoop and big data technologies.
Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management.
Strong understanding of ETL/ELT processes, data transformations, and distributed data processing.
Experience in performance tuning, debugging, troubleshooting, and production support.
Benefits in the posting
Full benefits wording- Why Join Tiger Analytics:
- Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
- Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
From the employer’s posting.
About Tiger Analytics
We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 10, 202626 days ago
- Recorded sightings
- 36
- Last seen by us
- Nov 5, 2026
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 26
Similar jobs usually come down between day 6 and day 54.
At Tiger Analytics, jobs usually come down by about day 68.
From 11,069 similar postings that came down, and 25 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
64 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Its jobs tend to stay up a long time
- 2% 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.
- Python
- Scala
- SQL
- Databricks
- Hadoop
- Spark
Where the posting names them
Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, Python, and Scala. - Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources.
- Strong hands-on experience with Databricks and Apache Spark. - Proficiency in Python and Scala for data processing and application development. - Hands-on experience with Hadoop and big data technologies.
- Experience in performance tuning, debugging, troubleshooting, and production support. - Strong SQL skills and understanding of data management concepts. - Excellent analytical, problem-solving, and collaboration skills.
- 8+ years of overall Data Engineering experience. - Strong hands-on experience with Databricks and Apache Spark. - Proficiency in Python and Scala for data processing and application development.
- Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources. - Work with Hadoop and its ecosystem to process and manage large volumes of structured and unstructured data. - Develop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliability.
- Proficiency in Python and Scala for data processing and application development. - Hands-on experience with Hadoop and big data technologies. - Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management.
- Work with Hadoop and its ecosystem to process and manage large volumes of structured and unstructured data. - Develop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliability. - Use Control-M to schedule, monitor, and manage batch jobs, workflow dependencies, and data processing pipelines.
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Has Tiger Analytics posted this job before?
Yes. We’ve followed 6 other Senior Data Engineer jobs there since May 2026. All 6 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
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
About Tiger Analytics
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.
What you will be doing
We are seeking a Senior Data Engineer to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines, processing large datasets, and managing scheduled data workflows to support enterprise data engineering initiatives.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, Python, and Scala.
- Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources.
- Work with Hadoop and its ecosystem to process and manage large volumes of structured and unstructured data.
- Develop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliability.
- Use Control-M to schedule, monitor, and manage batch jobs, workflow dependencies, and data processing pipelines.
- Troubleshoot job failures, resolve data pipeline issues, and ensure timely completion of scheduled workloads.
- Implement data validation, error handling, and quality checks to ensure data accuracy and consistency.
- Collaborate with data architects, analysts, and cross-functional teams to understand requirements and deliver reliable data solutions.
- Follow coding standards, testing practices, version control, and deployment procedures.
- Support production deployments, incident resolution, and ongoing maintenance of data engineering solutions.
Requirements
What we need
- 8+ years of overall Data Engineering experience.
- Strong hands-on experience with Databricks and Apache Spark.
- Proficiency in Python and Scala for data processing and application development.
- Hands-on experience with Hadoop and big data technologies.
- Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management.
- Strong understanding of ETL/ELT processes, data transformations, and distributed data processing.
- Experience in performance tuning, debugging, troubleshooting, and production support.
- Strong SQL skills and understanding of data management concepts.
- Excellent analytical, problem-solving, and collaboration skills.
Benefits
Why Join Tiger Analytics:
- Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
- Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
- Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
- Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, Texas, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.