About the Role:
We are seeking a highly skilled Senior Data Engineer to lead the design, development, and management of cloud-based data pipelines for risk data feeds. The ideal candidate will have deep expertise in data engineering, strong proficiency in Python, R, and SQL, and proven experience deploying and optimizing data workflows in the cloud. You will play a critical role in ensuring the reliability, accuracy, and timeliness of risk data delivery across our platforms. We are looking for an individual with a proven passion for solving problems. We need a clear and straightforward communicator, as we’ll be building some intricate products as a team so clarity and details matter. This is an opportunity to join an established business that is aggressively accelerating its commercial efforts to deliver best-in-class, industry leading data and analytics.
Key Responsibilities:
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Design, build, and maintain scalable and efficient data pipelines in a cloud environment.
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Ingest, transform, and curate structured and unstructured data from multiple external and internal risk data providers.
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Collaborate with data scientists, risk analysts, and technology teams to ensure high-quality data delivery and accessibility.
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Develop automated processes to monitor, validate, and ensure the integrity of risk data feeds.
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Optimize data storage and retrieval strategies to meet business and compliance requirements.
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Lead cloud infrastructure deployment and configuration related to data pipeline operations.
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Implement best practices for data governance, security, and compliance.
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Contribute to architectural decisions and technical strategy for the data platform.
Required Qualifications:
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Bachelor’s or master's degree in computer science, Engineering, Data Science, or a related field.
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5-7+ years of experience in data engineering, with a strong focus on building and maintaining data pipelines.
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Hands-on expertise in Python, R, and SQL for data manipulation and analysis.
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Significant experience with cloud platforms (AWS, Azure, GCP) and cloud-native data tools.
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Proficient in working with large-scale data systems and ETL frameworks.
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Solid understanding of data modeling, data warehousing, and data quality frameworks.
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Practical experience with data relevant to financial markets, equity factors, and portfolio analytics is highly desirable.
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Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
Preferred Skills:
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Experience with data orchestration tools (e.g., Apache Airflow, AWS Glue).
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Knowledge of data security, encryption, and regulatory compliance in financial data environments.
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Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
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Located in or willing to relocate to the NYC area and report to the office in-person at least 3x a week with exact schedule dependent on business needs.
At Wolfe Research we feel passionately about equal pay for equal work and pay transparency is an integral practice for that. The compensation for this role is market competitive with a base salary range of $175,000-$225,000. We intend to offer the selected candidate a base salary within this range, based on non-discriminatory factors including but not limited to skill set, job-related experience, and location. In addition, we offer an annual discretionary incentive bonus and competitive employee benefits including: medical, dental and vision coverage; life, accident and disability insurance. Wolfe also offers paid time off packages that include vacation, sick days/leave, paid holidays and paid parental leave.
About Wolfe
Wolfe Research, LLC is a premier independent sell-side research firm with a commitment to best-in-class content and ongoing strategic growth. We produce the most objective and distinguished research across our covered sectors, and deliver our services with intense care and specificity to each of our institutional clients. We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.
The firm has established a leading reputation for sector and macro research. Our QES product provides leading stock selection models, cutting edge portfolio analytics and hedging tools, highly ranked ESG product, and back-tested alternative data. Wolfe Research’s analysts were voted #6 on a weighted basis for equity research during 2024 by institutional clients in the prestigious “Extel” (formerly Institutional Investor) All-America Research Poll, trailing only significantly larger bulge bracket firms, who have historically not been viewed as our peers.
We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.
Wolfe Research recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity or sexual orientation, disability, age, citizenship or other characteristics. At Wolfe Research, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing integrity and objectiveness to our research process and we know our company’s biggest strength is the hard work, collaboration and diverse views and opinions of our passionate and creative employees. We are fully focused on equality and believe deeply that diversity of race, gender, sexual orientation, religion, ethnicity, national origin and all the other fascinating characteristics that make us different, also make us stronger.
