Job Title: Senior Associate, Data Engineer
Department: Valor Labs
Work Location: Chicago
Reports To: Head of Labs
Who We Are:
Valor Equity Partners is a different kind of private investment firm. We invest in technology and technology-enabled companies that innovate and disrupt existing industries — from biosciences to transportation to food to health and wellness.
Our mission is to invest in and work side by side with companies that make the world a better place. These companies include SpaceX, Anduril, GoPuff, HackerOne, Cloud9, and others. We’ve had the honor of serving some of the world’s greatest entrepreneurs and companies.
Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.
Valor means that we:
- Strive for excellence in everything we do;
- Maintain our humility and mutual respect no matter what circumstances we encounter;
- Insist upon the highest level of integrity in our interactions and in the logic of our investment process; and
- Demonstrate responsibility and dedication to all of our constituents.
About the Team:
Labs is an internal team at Valor that builds software to support the Firm’s investment process. It comprises software, data, and machine learning engineers as well as data scientists with diverse backgrounds and levels of experience. The team’s mission is to build cutting edge software applications and data models that generate proprietary investment insights and provide the investment team with tools that augment the investment decision making process.
About the Role:
- Create, design, and deploy ETL and ELT flows for consuming from disparate sources of 3rd party data
- Build tooling to monitor data pipelines and perform troubleshooting and debugging to identify and resolve data quality and performance issues
- Build and maintain the data and computing infrastructure that powers the deployment of highly valuable products that support the Firm’s investment process
- You will help shape the future of software engineering at Valor by bringing your ideas on improving and automating what we do and how we do it
We’re excited about candidates that have:
- B.S. and/or M.S. in Computer Science, Engineering, Mathematics, or related field
- 2+ years of proven data and/or backend engineering experience designing and implementing data infrastructure solutions, with significant contributions that you can talk to
- Experience owning projects at every step: ideation, infrastructure, implementation, and monitoring
- Exceptional coding skills in Python for data processing and automation
- Additional skills in RESTFUL API design, especially Flask, Django, or FastAPI are good to have
- Highly proficient in SQL, with working knowledge of multiple database types
Experience with the following:
- Modern cloud platforms (GCP, AWS or Azure) and related services (e.g. BigQuery, Elastic, Snowflake)
- Big Data processing (Spark or PySpark)
- Architecting, deploying, and managing infrastructure using Docker
Additionally, experience with any of the following is a bonus:
- Managing Kubernetes clusters
- Infrastructure as code tools (e.g. Terraform)
- CI/CD tools like GitHub Actions or CircleCI
- Passion for engineering while being mission-driven, hard-working, humble, intellectually curious, and most importantly, great team players
- Bias for execution and delivery. You know that what matters is delivering software that works every time
- Willingness to be resourceful, flexible, and adaptable; no task is too big or too small
Our Tech Stack:
- Frontend: React with Hooks, Material UI
- Backend: Python, Fast API
- Tooling: Google Cloud Platform
- Data: Prefect, PostgreSQL, BigQuery
