Financial Data Engineer

Wenna Holdings Inc.; Minnesota; On-site; USD 110,000 - 150,000; Full time

Job summary

Wenna Holdings Inc. is seeking a Financial Data Engineer to build and maintain scalable data pipelines for market and alternative data, ensuring our datasets are accurate, accessible, and actionable for investment decisions.

You will develop APIs and microservices to feed quantitative models and trading systems, optimize database performance, and collaborate with analysts to structure data for advanced analytics and machine learning, with rigorous data quality checks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering, preferably within the financial services industry.
• Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP).
• Experience with time-series databases and large-scale data processing.
• Strong understanding of software engineering best practices.

Responsibilities

• Design, build, and maintain scalable data pipelines for market and alternative data.
• Develop APIs and microservices to deliver data to quantitative models and trading systems.
• Optimize database performance and ensure high availability of critical financial datasets.
• Collaborate with analysts to structure data for advanced analytics and ML.
• Implement rigorous data quality checks and validation protocols.

Skills

Python

SQL

Cloud AWS/GCP

Time-series databases

Large-scale data processing

Software engineering best practices

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Spark

Hadoop

CI/CD pipelines

Infrastructure as Code

Job description

We are seeking a Financial Data Engineer to build and maintain the robust data pipelines that drive our investment decisions. You will work at the intersection of technology and finance, ensuring our data is accurate, accessible, and actionable.

Responsibilities

• Design, build, and maintain scalable data pipelines for market and alternative data.
• Develop APIs and microservices to deliver data to quantitative models and trading systems.
• Optimize database performance and ensure high availability of critical financial datasets.
• Collaborate with analysts to structure data for advanced analytics and machine learning.
• Implement rigorous data quality checks and validation protocols.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering, preferably within the financial services industry.
• Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP).
• Experience with time-series databases and large-scale data processing.
• Strong understanding of software engineering best practices.

Preferred Skills

• Experience with financial data providers (e.g., Refinitiv, tick data).
• Knowledge of distributed computing frameworks (Spark, Hadoop).
• Familiarity with CI/CD pipelines and infrastructure as code.