Data Operations Engineer

Doist; Austin (TX); On-site; USD 101,500 - 122,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible paid time off

401(k) and Roth 401(k) match

Tuition reimbursement

Parental leave and surrogacy support

Job summary

GLG is seeking a curious Data Operations Engineer to join the Data Operations team. You will help build, operate, and troubleshoot data pipelines and integrations that power GLG's platforms and reporting.

The ideal candidate has 2-3 years in data operations or related roles, strong SQL skills, and Python proficiency for data manipulation. Experience with AI tools (Claude, Copilot, Opencode) is a plus, with opportunities to learn Snowflake, Airflow, and AWS in a collaborative environment.

Qualifications

• 2-3 years in data operations or data engineering.
• Strong SQL and relational databases.
• Python for data manipulation and automation.
• Foundational knowledge in data modeling and quality.
• Experience with AI tools like Claude, Copilot, Opencode.

Responsibilities

• Build, run, and maintain data pipelines, imports, and integrations that feed GLG's platforms and reporting.
• Write and optimize SQL to move, transform, and validate data across sources.
• Monitor scheduled jobs and resolve data-quality issues.
• Collaborate with cross‑functional teams to deliver reliable data solutions.
• Write clean, maintainable code and queries.
• Contribute to runbooks, documentation, and best practices.
• Stay curious about new tools and approaches; training on our stack.

Skills

SQL

Python

Data pipelines

Data quality

AI tooling

Tools

Snowflake

Airflow

OpenSearch

AWS

CI/CD

Job description

GLG is the world's leading B2B platform connecting professionals with expertise. We connect thousands of clients to the largest global network of subject-matter experts across every sector. We bring the power of insight to every great professional decision. Our Product Engineering group is responsible for GLG's technology platforms that connect GLG's clients with the insights needed to make important business decisions.

We're looking for a curious Data Operations Engineer with 2-3 years' experience to join our Data Operations team and keep the data that powers GLG flowing reliably. You'll pair with other engineers, analysts, and stakeholders to build, operate, and troubleshoot the pipelines and integrations that move data across our systems.

Responsibilities

• Build, run, and maintain data pipelines, imports, and integrations that feed GLG's platforms and reporting.
• Write and optimize SQL to move, transform, and validate data across sources.
• Monitor scheduled jobs, triage failures, and resolve data-quality and data-accuracy issues.
• Collaborate with cross-functional teams to turn business needs into reliable data deliverables.
• Write clean, maintainable, and efficient code and queries.
• Contribute to runbooks, documentation, and operational best practices.
• Stay curious about new tools and approaches — we'll train you on our stack as you grow.

Ideal Candidate

• 2-3 years of experience in a data operations, data engineering, or similar data-focused role.
• Strong SQL and a solid understanding of relational databases.
• Proficiency in a scripting language (Python preferred) for data manipulation and automation.
• Solid grasp of data fundamentals — modeling, transformation, data quality.
• An inquisitive, generalist mindset — eager to learn systems end-to-end rather than staying in one niche.
• Experience using Claude, Copilot, Opencode and other AI toolsets.
• Solid problem-solving skills and the ability to thrive in an iterative, collaborative environment.

Preferred (or willing to train)

• Cloud data warehouses (e.g., Snowflake).
• Workflow orchestration (e.g., Airflow).
• Search/indexing platforms (e.g., OpenSearch).
• AWS cloud platform, CI/CD pipelines, and DevOps practices.

What We Offer: Benefits

• All U.S. GLGers also have access to comprehensive medical, dental and vision coverage effective on your first day of employment.
• Flexible paid time off. No pre-determined limits on vacation time, plus 10 company holidays.
• 401(k) and Roth 401(k) plans with an employer match (subject to annual limits & vesting).
• Tuition reimbursement program for eligible courses including language skills courses.
• Paid parental leave, adoption and surrogacy reimbursement.
• Free wellbeing support with the Calm app, Maven and EAP, and free long-term therapy & counselling assistance through Pathways.
• Other work perks and benefits available based on final job location.

Compensation

GLG is committed to fair and equitable compensation practices. Actual compensation is based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. Certain roles may also be eligible for incentive compensation. The anticipated hiring base salary range for this role is: $101,500 - $122,000 USD.

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.