Design, build and maintain efficient, reusable and reliable pipeline code
Gather requirements from the US business team and deliver solutions on the enterprise data platform
Identify issues in applications and provide solutions to fix them
Help maintain code quality, organization and automation
From the employer’s posting
Design, build, and maintain efficient, reusable, and reliable code.
You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform.
Identify issues and provide solutions to mitigate and address them.
Help maintain code quality, organization, and automation to ensure optimal performance.
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
Time since we first saw it
Day 54
656
Similar jobs usually come down between day 6 and day 56.
At Beghouconsulting, jobs usually come down by about day 58.
From 13,630 similar postings that came down, and 45 of Beghouconsulting’s. Coming down is not always a hire.
Beghouconsulting is hiring
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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
Databricks
Snowflake
PySpark
Where the posting names them
You'll need to have:
At least 2 years of Python programming experience, including data transformations using PySpark library.
CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred.
Understands the business processes and business data used in data transformations.
Having experience working on different Python libraries and willing to learn/work on new libraries.
Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Having experience working on different Python libraries and willing to learn/work on new libraries.
Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Having advanced analytical and problem-solving skills.
Yes. We’ve followed one other Data Engineer - Delivery job there since April 2026. It came down after 97 days.
HyderabadCame down after 97 days, first seen Apr 15
This jobUp 54 days so far, first seen Sep 20
Apr 15Today
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.
August 17Last week
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.
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
Purpose of Job
You will be responsible and accountable for the development and maintenance of data pipelines. You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform.
We'll trust you to:
Design, build, and maintain efficient, reusable, and reliable code.
Ensure the best performance and quality of applications.
Identify issues and provide solutions to mitigate and address them.
Help maintain code quality, organization, and automation to ensure optimal performance.
Continuously expand the body of knowledge via research.
Comply with corporate quality policies and procedures.
Complete all training requirements promptly.
You'll need to have:
At least 2 years of Python programming experience, including data transformations using PySpark library.
CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred.
Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred.
Understands the business processes and business data used in data transformations.
Having experience working on different Python libraries and willing to learn/work on new libraries.
Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Having advanced analytical and problem-solving skills.
At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!