Bridgewater Associates · 3 hours ago
Research Associate, Data Engineer
Bridgewater Associates is a premier asset management firm focused on delivering unique insights for global institutional investors. They are seeking a Data Engineer to join a PM-led pod in their Asia Strategies department, responsible for managing the data lifecycle that supports investment strategies in a fast-paced environment.
FinanceVenture CapitalFinancial ServicesImpact Investing
Responsibilities
Identify and assess new datasets to identify their merit in our investment process
Build and maintain a catalog of datasets/vendors by attending data conferences, reading whitepapers, and taking introductory calls
Design, build, and maintain robust, scalable data pipelines supporting systematic macro and long/short equity strategies
Partner closely with researchers and quantitative developers to ensure data is research-ready, well-documented, and reproducible across simulation and live environments
Profile and interrogate datasets to understand distributions, coverage gaps, stability over time, and structural breaks
Implement data quality checks, anomaly detection, and monitoring to ensure accuracy, timeliness, and completeness of production datasets
Design and maintain our data ontology and schemas
Work across a variety of datasets including traditional datasets (fundamentals, market data, security master, etc.) to large alternative datasets
Work with shared data engineering and platform teams to evolve the broader data ecosystem while maintaining pod-level ownership and agility
Contribute to improvements in tooling, standards, and best practices that increase research velocity and system reliability
Work with the data vendors on data quality and new features that will benefit our investment process
Qualification
Required
1–5 years of experience as a Data Engineer or in a closely related role, either: embedded with systematic investment teams (hedge fund, asset manager, bank), or in a high-scale, data-intensive technology environment (e.g., consumer, payments, or platform companies)
Strong programming skills in Python and SQL; experience building production-quality, maintainable data pipelines
Experience working with modern data platforms (e.g., Snowflake or similar cloud data warehouses)
Familiarity with distributed processing and workflow orchestration (e.g., Spark, Airflow, or equivalents)
Proven ability to reason about data correctness, lineage, versioning, and reproducibility in environments where data errors have material downstream impact
Comfort using lightweight statistical analysis and data science techniques to assess data quality, coverage, and suitability for research use
Demonstrated experience working with high-dimensional, messy, and evolving datasets, including financial market and reference data (e.g., prices, fundamentals, macro, corporate actions), or large-scale behavioral, transactional, or event-driven data with complex schemas and quality challenges
Experience working with datasets spanning multiple geographies, where data sources, standards, and availability vary materially by region. Familiarity with APAC data sets & providers a plus
Experience navigating APAC data realities, including jurisdiction-specific macro definitions, country-specific corporate structures, and uneven disclosure and historical coverage
Familiarity with differences between global and local data sources, including gaps between English-language and local-language
Benefits
Competitive suite of benefits
Immigration sponsorship
Company
Bridgewater Associates
Bridgewater manages approximately $120 billion in global investments for a wide array of institutional clients, including foreign
H1B Sponsorship
Bridgewater Associates has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (64)
2024 (26)
2023 (58)
2022 (59)
2021 (49)
2020 (58)
Funding
Current Stage
Late StageTotal Funding
$22M2016-05-25Grant· $22M
Leadership Team
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