Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 6 and day 54.
At Equifax, jobs usually come down by about day 23.
From 10,845 similar postings that came down, and 71 of Equifax’s. Coming down is not always a hire.
Senior Data Engineer
IND-Bangalore-Equifax Credit Information Services
Live, first seen by us 5 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
What you’ll work on
Full postingBuild and manage reliable data pipelines from diverse source systems
Integrate, cleanse and structure large datasets, with automated anomaly checks
Build tracking processes that support data quality and entity resolution models
Implement GCP technologies and propose cloud optimization improvements
Build data management and security practices into pipeline workflows
From the employer’s posting
Build and manage reliable data pipelines to aggregate, ingest, and process data from diverse source systems.
Integrate, cleanse, and structure large datasets for analytical consumption and client solutions, implementing automated checks to troubleshoot data anomalies.
Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models.
Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements.
Implement data management, security, and maintenance best practices directly into pipeline workflows.
Education & alternatives
What experience you need - Education: BS in a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred). - Experience: 3 to 5 years of hands-on experience in a data engineering or highly quantitative technical role.
Tools in this posting
- Python
- Scala
- SQL
- BigQuery
- GCP
- PySpark
Source — Tool mentions in context
- Experience: 3 to 5 years of hands-on experience in a data engineering or highly quantitative technical role. - Core Tech Stack: Strong proficiency in Python and SQL, with practical experience writing utility scripts. - Cloud Infrastructure: Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment.
What could set you apart - Big Data & Cloud Tooling: Hands-on experience with Google BigQuery, BigTable, Dataflow, or big data processing frameworks like PySpark/Scala. - Data Formats: Familiarity with managing modern schemas and file formats such as JSON, AVRO, and PARQUET.
- Model Support: Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models. - Cloud & Infrastructure: Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements. - Data Governance: Implement data management, security, and maintenance best practices directly into pipeline workflows.
- Core Tech Stack: Strong proficiency in Python and SQL, with practical experience writing utility scripts. - Cloud Infrastructure: Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment. - Data Modeling: Experience transforming unstructured/structured data into optimized data models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
- Domain & Concept Knowledge: Exposure to credit/financial data products or prior project/academic experience with Entity Resolution and identity matching concepts. - Certification: Any active cloud certifications (e.g., GCP Associate Cloud Engineer). #India
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Aug 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Equifax is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 12% of open jobs were reposted
Your next step
Check the employer’s posting for the current role and application details.
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Already applied? Track this application
Has Equifax posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since August 2026. It came down after 15 days.
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
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Synopsis of the role
Equifax is seeking a Senior Data Engineer to join our world-class Entity Resolution/Keying & Linking team within India Data & Analytics. The ideal candidate is an analytical engineer who bridges the gap between software development and data science—possessing the programming skills to scrape, merge, and manage diverse data streams, alongside the statistical mindset to extract meaningful insights. You will combine technical execution with creative problem-solving to build reliable data prototypes and uncover patterns within complex data. If you have a solid foundation in mathematics or statistics and a passion for data mining and machine learning, we want to hear from you.
What you’ll do
- Pipeline Engineering: Build and manage reliable data pipelines to aggregate, ingest, and process data from diverse source systems.
- Data Integration & Quality: Integrate, cleanse, and structure large datasets for analytical consumption and client solutions, implementing automated checks to troubleshoot data anomalies.
- Model Support: Apply an understanding of data characteristics to develop tracking processes that support data quality and entity resolution models.
- Cloud & Infrastructure: Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization improvements.
- Data Governance: Implement data management, security, and maintenance best practices directly into pipeline workflows.
- Global Teamwork: Collaborate actively with regional and global Equifax teams to share insights, standardize workflows, and adopt best practices.
What experience you need
- Education: BS in a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred).
- Experience: 3 to 5 years of hands-on experience in a data engineering or highly quantitative technical role.
- Core Tech Stack: Strong proficiency in Python and SQL, with practical experience writing utility scripts.
- Cloud Infrastructure: Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment.
- Data Modeling: Experience transforming unstructured/structured data into optimized data models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
- DevOps Basics: Solid experience with version control (Git) and exposure to CI/CD integration workflows.
What could set you apart
- Big Data & Cloud Tooling: Hands-on experience with Google BigQuery, BigTable, Dataflow, or big data processing frameworks like PySpark/Scala.
- Data Formats: Familiarity with managing modern schemas and file formats such as JSON, AVRO, and PARQUET.
- Domain & Concept Knowledge: Exposure to credit/financial data products or prior project/academic experience with Entity Resolution and identity matching concepts.
- Certification: Any active cloud certifications (e.g., GCP Associate Cloud Engineer).
#India
We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Bangalore-Equifax Credit Information ServicesFunction:
Function - Data and AnalyticsSchedule:
Full timeSource details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
IND-Bangalore-Equifax Credit Information Services
#India We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting