Pune, MH, India
Actively hiring, first seen by us 1 day agoAdditional Information: Working hours: This is a fully remote role based in India, with working hours aligned to US Eastern Time, 9:00 AM to 5:00 PM ET, Monday through Friday. This corresponds to approximately 6:30 PM to 2:30 AM IST during US Daylight Saving Time and 7:30 PM to 3:30 AM IST otherwise. Holiday calendar: The role follows the US company holiday calendar rather than the Indian public holiday calendarRead the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build and maintain scalable, complex dbt models
Develop data warehouse structures, including dimension and fact tables
Implement Type 1 and Type 2 slowly changing dimensions
Manage and execute data mart updates for reporting and analytics
Build conformed dimensions through integration with MDM systems
Build and maintain scalable, complex dbt models
Develop data warehouse structures, including dimension and fact tables
Implement Type 1 and Type 2 slowly changing dimensions (SCDs) to accurately capture historical and current data
Manage and execute data mart updates to support downstream reporting and analytics
Build conformed dimensions through integration with Master Data Management (MDM) systems
Advanced SQL skills, including writing, optimizing, and troubleshooting complex queries across large datasets
Strong expertise in data warehouse development and concepts, including dimensional modeling
Hands-on proficiency with ETL tools such as dbt, Python, SSIS, or PowerCenter
Experience working with life science or healthcare data and an understanding of its quality and compliance considerations
Availability to work with meaningful overlap with US Eastern business hours
Practical experience building and optimizing workloads in Snowflake, preferred
Practical experience building and maintaining complex dbt models, including testing and documentation, preferred
What you’ll bring to the table: - Bachelor’s degree (B.Tech or B.E.) in Computer Science or a related engineering discipline and/or equivalent practical experience - Advanced SQL skills, including writing, optimizing, and troubleshooting complex queries across large datasets
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At IntegriChain, jobs usually come down by about day 41.
From 11,508 similar postings that came down, and 10 of IntegriChain’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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What you’ll do to thrive in this role: - Develop scalable, reliable, and efficient data pipelines using dbt, Python, or other ELT tools - Design, implement, and maintain scalable data orchestration and transformation processes, ensuring data accuracy, consistency, and timeliness
- Strong expertise in data warehouse development and concepts, including dimensional modeling, Type 1/Type 2 SCDs, data mart updates, and conformed dimensions via MDM integration - Hands-on proficiency with ETL tools such as dbt, Python, SSIS, or PowerCenter - Proven ability to design and build ETL/ELT pipelines that are reliable, scalable, and easy to maintain
- Bachelor’s degree (B.Tech or B.E.) in Computer Science or a related engineering discipline and/or equivalent practical experience - Advanced SQL skills, including writing, optimizing, and troubleshooting complex queries across large datasets - Strong expertise in data warehouse development and concepts, including dimensional modeling, Type 1/Type 2 SCDs, data mart updates, and conformed dimensions via MDM integration
- Experience working with life science or healthcare data and an understanding of its quality and compliance considerations - Working knowledge of cloud platforms such as Azure or AWS - Practical experience building and optimizing workloads in Snowflake, preferred
- Design, implement, and maintain scalable data orchestration and transformation processes, ensuring data accuracy, consistency, and timeliness - Build and maintain scalable, complex dbt models - Develop data warehouse structures, including dimension and fact tables
- Practical experience building and optimizing workloads in Snowflake, preferred - Practical experience building and maintaining complex dbt models, including testing and documentation, preferred - Snowflake or dbt certification, preferred
- Practical experience building and maintaining complex dbt models, including testing and documentation, preferred - Snowflake or dbt certification, preferred Additional Information:
- Working knowledge of cloud platforms such as Azure or AWS - Practical experience building and optimizing workloads in Snowflake, preferred - Practical experience building and maintaining complex dbt models, including testing and documentation, preferred
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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.
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.
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.
Your mission at IntegriChain:
The mission of the Data Engineer is to design, build, and maintain scalable, reliable data pipelines and warehouse models that turn complex life science and healthcare data into clean, trusted datasets that power analytics and decision-making.
What you’ll do to thrive in this role:
What you’ll bring to the table:
Additional Information:
#LI-NS1
What IntegriChain offers:
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. More than 250 manufacturers rely on our ICyte Platform to orchestrate commercial and government payer contracting, patient services, and distribution channels. ICyte unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine, freeing our customers’ best talent to focus on data-driven decisions rather than labor-intensive processes.
We are headquartered in Philadelphia, PA (USA), with offices in Pune, India; and Medellín, Colombia. We offer a hybrid working environment, with periodic visits to office locations for workshops and team collaboration, and occasional international travel based on business need. For more information, visit www.integrichain.com, or follow us on LinkedIn.
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Pune, MH, India
Additional Information: - Working hours: This is a fully remote role based in India, with working hours aligned to US Eastern Time, 9:00 AM to 5:00 PM ET, Monday through Friday. This corresponds to approximately 6:30 PM to 2:30 AM IST during US Daylight Saving Time and 7:30 PM to 3:30 AM IST otherwise. - Holiday calendar: The role follows the US company holiday calendar rather than the Indian public holiday calendar
IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. More than 250 manufacturers rely on our ICyte Platform to orchestrate commercial and government payer contracting, patient services, and distribution channels. ICyte unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine, freeing our customers’ best talent to focus on data-driven decisions rather than labor-intensive processes. We are headquartered in Philadelphia, PA (USA), with offices in Pune, India; and Medellín, Colombia. We offer a hybrid working environment, with periodic visits to office locations for workshops and team collaboration, and occasional international travel based on business need. For more information, visit www.integrichain.com, or follow us on LinkedIn.
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