Jobs / Gol***
Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - Dallas
Gol*** · Dallas, TX, United States
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Dallas, TX, United StatesRemote
Remuneration
Not specified
Location
Dallas, TX, United States
Visa sponsorship
Sponsors visa
Job summary
The Opportunity Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.
Benefits
Wellness and personal finance offerings and mindfulness programs.About our culture,And people at GS.com/careers.We’re committed to finding reasonable accommodations for candidates with specialHttps://www.goldmansachs.com/careers/footer/disability-statement.htmlThe Goldman Sachs Group, Inc., 2026.All rights reserved.We Offer Best-In-ClassHealthcare & Medical InsuranceWe offer a wide range of health and welfare programs that vary depending on offiHoliday & Vacation PoliciesWe offer competitive vacation policies based on employee level and office locati
Qualifications
- More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.
- We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build.
- The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.
- It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.
- Stronger candidates will typically demonstrate:
- sound judgement in technical trade-offs
- attention to detail in data correctness and testing
- a clear and structured approach to problem solving
- willingness to work closely with stakeholders and partner teams
- an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
- an interest in developing long-term expertise within the firm
- ABOUT Gol***
Responsibilities
- As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform.
- You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.
- Pipeline Engineering
- Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
- Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
- Where needed, build reusable tooling to improve delivery, consistency and operational support.
- Ensure data pipelines are production-ready, well tested and operationally supportable.
- Data Modelling and Curation
- Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
- Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
- Work with consumers to shape data products that are usable, well documented and aligned to business needs.
- Data Quality and Reconciliation
Skills
Leadership
Degrees
AssociateDegree
Languages
Arabic
Work schedule
Shift
Travel
Travel
Industry
BankingEducationHealthcareInsuranceMedia
Company size
Smb