Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer (Azure)
Diamond Bar, California, United States
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingHarmonize raw data into consumer-friendly formats using Azure Databricks
Build data ingestion pipelines with Azure Data Factory for structured and unstructured data
Manage complex data engineering initiatives, including stakeholder and risk management
Coordinate offshore data engineering team of 6-10 members
From the employer’s posting
Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
Strong program management experience, managing complex data engineering initiatives – stakeholder management, risk management
offshore coordination with 6-10 members DE team
What you’ll bring
All qualificationsCore experience
- 9+ years leading data engineering engagements
- Strong Python and SQL skills
- 2+ years using Apache Spark
- Experience with Delta Lake and ETL processing
- Experience building data pipelines on the Azure stack
Preferred experience
- Experience in data wrangling, advanced analytic modeling is preferred
Qualification wording
Data Engineering Lead – 9+ years’ experience leading DE engagements
Proficiency in Python programming. Proficiency in SQL queries
2+ years of experience using Apache spark
Good working experience on Delta Lake and ETL processing
Experience building data pipelines using Azure stack
Experience in data wrangling, advanced analytic modeling is preferred
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 202613 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 12, 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 13
Similar jobs usually come down between day 6 and day 56.
At Tiger Analytics, jobs usually come down by about day 68.
From 13,338 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 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
- 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.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
Where the posting names them
- Strong in communication; both at executive as well as execution level - Primary Skill- Azure, Databricks, SQL, Python - Secondary Skill- On Prem to Cloud Migration
- Secondary Skill- On Prem to Cloud Migration - Proficiency in Python programming. - Proficiency in SQL queries
- Proficiency in Python programming. - Proficiency in SQL queries - Experience building data pipelines using Azure stack
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals. Requirements
- Proficiency in SQL queries - Experience building data pipelines using Azure stack - 2+ years of experience using Apache spark
- Prior experience of working in a Unix environment - Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks - Experience extracting/querying/joining large data sets at scale
- Experience extracting/querying/joining large data sets at scale - Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data - Experience in data wrangling, advanced analytic modeling is preferred
- 2+ years of experience using Apache spark - Good working experience on Delta Lake and ETL processing - Prior experience of working in a Unix environment
- Experience building data pipelines using Azure stack - 2+ years of experience using Apache spark - Good working experience on Delta Lake and ETL processing
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Engineer roles
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.
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
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.
Requirements
Below are the specifics.
- Data Engineering Lead – 9+ years’ experience leading DE engagements
- Strong program management experience, managing complex data engineering initiatives – stakeholder management, risk management, offshore coordination with 6-10 members DE team.
- Strong in communication; both at executive as well as execution level
- Primary Skill- Azure, Databricks, SQL, Python
- Secondary Skill- On Prem to Cloud Migration
- Proficiency in Python programming.
- Proficiency in SQL queries
- Experience building data pipelines using Azure stack
- 2+ years of experience using Apache spark
- Good working experience on Delta Lake and ETL processing
- Prior experience of working in a Unix environment
- Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
- Experience extracting/querying/joining large data sets at scale
- Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
- Experience in data wrangling, advanced analytic modeling is preferred
- Strong communication and organizational skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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
Diamond Bar, California, United States
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.