Job Summary:
Would you like to be part of building the data pipeline for the entire organization? Help source, organize and provide accessibility to numerous engineering teams, business stakeholders and external partners? GLG is building a next generation platform to transform the existing way we deal with data across the organization.
As a data engineer you will:
- Cleanse, normalize and enhance quality for both the existing operational systems as well as new data sources that flow through the data platform.
- Build, monitor, and maintain ETL/ELT pipelines using Python, SQL and Airflow.
- Design and optimize tables, datasets, and transformations in Snowflake.
- Develop and support data ingestion workflows, including API integrations, file ingestion, and database connectors.
- Ensure data quality, reliability, and performance across pipelines.
- Work in an Agile environment and collaborate with engineering, analytics, and product teams.
- Use integration tools (e.g., Fivetran, Workato, etc.) to onboard new data sources.
You will have:
- 5-8 years of experience as a Data Engineer.
- Strong hands-on experience with Snowflake, Python, SQL, and Airflow.
- Experience building data ingestion pipelines across APIs, files, and databases.
- Strong SQL, Data Modeling skills, plus a solid understanding of ETL/ELT concepts.
- Experience working in Agile teams (Scrum, sprint planning, etc.).
- Experience with data integration tools is preferred.
- Knowledge of data engineering best practices across the development lifecycle, including coding standards, code reviews, source management, build processes, testing, and operations.
Nice to Have:
- Knowledge of cloud platforms (AWS preferred).
- Experience with Git, CI/CD.
About GLG / Gerson Lehrman Group
GLG is the world’s leading platform for trusted human expertise. We connect global decision-makers—from hedge fund managers and private equity partners to strategy leaders at Fortune 500s—with the specific, authoritative voices required to answer their most critical questions.
At GLG, you are an extension of our clients' core teams. You will work at the intersection of industries and global markets, navigating high-stakes challenges across the full spectrum of their strategic initiatives. Operating within the industry’s most trusted research environment, you’ll help our clients capture the nuanced perspectives that drive smarter, faster business outcomes.
We are a global team of pragmatic problem-solvers who mirror the intensity of the markets we serve. If you are driven by intellectual curiosity and a bias toward action, join us in reinventing the industry we invented.
Gerson Lehrman Group, Inc. (“GLG”) is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, religion, color, marital status, disability, gender, national origin, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
Skills Required
- 5-8 years of experience as a Data Engineer
- Hands-on experience with Snowflake, Python, SQL, and Airflow
- Experience building data ingestion pipelines across APIs, files, and databases
- Strong SQL and data modeling skills
- Understanding of ETL and ELT concepts
- Experience working in Agile teams, including Scrum and sprint planning
- Knowledge of data engineering best practices across development, testing, and operations
- Experience with data integration tools
- Knowledge of cloud platforms, preferably AWS
- Experience with Git and CI/CD
GLG Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GLG and has not been reviewed or approved by GLG.
-
Healthcare Strength — Benefits are viewed as stronger than base pay, with comprehensive medical, dental, and vision coverage starting on day one. Feedback suggests mental health support and wellness programs add meaningful value even when salary is criticized.
-
Retirement Support — 401(k) and Roth 401(k) with employer match are often highlighted as a solid part of the package. Feedback suggests retirement benefits stand out even when base pay is considered average.
-
Leave & Time Off Breadth — Flexible or unlimited PTO plus company holidays are consistently described as valuable components of the package. Feedback suggests time‑off policies are attractive when team culture supports using them.
GLG Insights
What We Do
GLG is the world’s insight network. We connect decision makers to the right experts so they can act with the confidence that comes from true clarity and have what it takes to get ahead. Our network of experts is the world’s largest and most varied source of first-hand expertise, and we recruit hundreds of new experts every day. We bring the power of insight to every great professional decision. Visit GLGinsights.com. For information regarding GLG’s practices with respect to personal information, please visit our privacy policy at https://glginsights.com/privacy-policy/
Why Work With Us
In addition to our unique business model, GLG boasts a diverse culture of smart, dynamic professionals across our 20 global offices.
Gallery
.jpg)
