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Day 0
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Senior Data Engineer
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign, develop and optimize scalable data pipelines in Python and SQL
Build and manage data models and transformations in DBT
Develop and maintain workflow scheduling in Airflow
Work with Snowflake for warehousing, performance tuning and optimization
Monitor and troubleshoot pipelines to keep delivery on time
From the employer’s posting
Design, develop, and optimize scalable data pipelines using Python and SQL
Build and manage data models and transformations using DBT
Develop and maintain workflows and scheduling using Airflow
Work with Snowflake for data warehousing, performance tuning, and data optimization
Monitor and troubleshoot data pipelines and workflows to ensure timely delivery
What you’ll bring
All qualificationsCore experience
- 4-6 years of experience in data engineering or related field
- Strong experience in SQL and data modeling
- Hands-on experience with Snowflake
- Proficiency in Python for data engineering
- Experience with DBT and Airflow
Qualification wording
4-6 years of experience in data engineering or related field
Strong experience in SQL and data modeling
Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
Proficiency in Python for data engineering tasks
Experience working with DBT for transformation and data modeling
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 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 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
EXL Service is hiring
200 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 5% 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
- AWS
- Azure
- dbt
- GCP
- Snowflake
- Airflow
Where the posting names them
Key Responsibilities - Design, develop, and optimize scalable data pipelines using Python and SQL - Build and manage data models and transformations using DBT
- Strong experience in SQL and data modeling - Proficiency in Python for data engineering tasks - Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
Required Skills & Qualifications - Strong experience in SQL and data modeling - Proficiency in Python for data engineering tasks
- Good understanding of ETL/ELT processes and data pipeline architecture - Familiarity with cloud platforms (AWS/Azure/GCP) is a plus - Strong problem-solving and analytical skills
- Design, develop, and optimize scalable data pipelines using Python and SQL - Build and manage data models and transformations using DBT - Develop and maintain workflows and scheduling using Airflow
- Hands-on experience with Snowflake (data warehousing, optimization, performance tuning) - Experience working with DBT for transformation and data modeling - Experience with workflow orchestration tools like Airflow
- Develop and maintain workflows and scheduling using Airflow - Work with Snowflake for data warehousing, performance tuning, and data optimization - Ensure data quality, integrity, and reliability across all data systems
- Proficiency in Python for data engineering tasks - Hands-on experience with Snowflake (data warehousing, optimization, performance tuning) - Experience working with DBT for transformation and data modeling
- Experience working with DBT for transformation and data modeling - Experience with workflow orchestration tools like Airflow - Good understanding of ETL/ELT processes and data pipeline architecture
Your next step
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
Has EXL Service posted this job before?
Yes. We’ve followed 8 other Senior Data Engineer jobs there since August 2026. 2 came down, usually after about 38 days. 6 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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
Key Responsibilities
- Design, develop, and optimize scalable data pipelines using Python and SQL
- Build and manage data models and transformations using DBT
- Develop and maintain workflows and scheduling using Airflow
- Work with Snowflake for data warehousing, performance tuning, and data optimization
- Ensure data quality, integrity, and reliability across all data systems
- Collaborate with cross-functional teams including Analytics, BI, and Data Science teams
- Monitor and troubleshoot data pipelines and workflows to ensure timely delivery
- Implement best practices for data governance, security, and compliance
Required Skills & Qualifications
- Strong experience in SQL and data modeling
- Proficiency in Python for data engineering tasks
- Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
- Experience working with DBT for transformation and data modeling
- Experience with workflow orchestration tools like Airflow
- Good understanding of ETL/ELT processes and data pipeline architecture
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Strong problem-solving and analytical skills
- Excellent Communication skills
- Ability to effectively collaborate with global stakeholders and teams
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mexico
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- Work authorization
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