[Remote] Senior Quantitative Data Engineer at YipitData

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Research, Analytics, Financial Services, TechnologyIndustries

Requirements

Deep experience with large-scale data systems
Experience with quantitative data processing
Rigor required to meet expectations of institutional quant clients
Senior-level, hands-on engineering expertise

Responsibilities

Design, build, and operate scalable, efficient data pipelines that integrate and standardize internal and third-party alternative/financial data into analysis-ready formats to support systematic investment research
Partner with Quant Research, Data Infrastructure, Product, and Revenue to align pipelines, model/data requirements, and client SLAs
Architect PIT-compliant, look-ahead, and leakage-free datasets for quant research/backtesting. Implement PIT-aware “as-of” version backfills and robust handling of late-arriving data. Build data integrity checks for time-series/panel datasets, including de-duplication and outlier/anomaly detection
Develop robust data validation and monitoring systems to ensure accuracy, timeliness, and reproducibility of all delivered datasets
Implement and optimize data feeds for external delivery to quant clients (APIs, S3, real-time streaming)
Contribute to product discovery and R&D, helping define the data architecture and infrastructure strategy for the Quant initiative
Ensure compliance with and adherence to governance best practices (versioning, documentation, access controls)

Skills

Key technologies and capabilities for this role

Quantitative AnalysisData EngineeringPythonSQLBig DataETLAWSSparkAlternative Data

Questions & Answers

Common questions about this position

What is the location or work arrangement for this role?

This information is not specified in the job description.

What salary or compensation does this position offer?

This information is not specified in the job description.

What skills and experience are required for the Senior Quantitative Data Engineer role?

The role requires deep experience with large-scale data systems, quantitative data processing, and the rigor to meet institutional quant client expectations. It is a senior, hands-on engineering position focused on designing, building, and operating scalable data pipelines.

What is the company culture like at YipitData?

YipitData has an award-winning, people-centric culture that emphasizes transparency, ownership, and continuous mastery. It promotes ownership that matters, rapid growth, merit over titles, and velocity with purpose in a high-impact environment.

What makes a strong candidate for this position?

A strong candidate is ambitious, impact-driven, with a strong work ethic, deep experience in large-scale data systems and quantitative data processing, and the ability to lead high-impact projects in a fast-paced environment.

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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