Kalshi is defining a new category

Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events & turn any question about the future into a financial asset. Kalshi fought for years & legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest growing financial market in America, & has thousands of markets across politics, economics, financials, weather, tech, AI, culture & more.

We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position. 

• Our vision: well build the largest financial market on the planet. 
• Our mission: bring more truth to the world through the power of markets. 

Building a new category is hard like really hard. But its beautiful & deeply fulfilling. Our culture is simple: we hire really talented people, work really hard, & enjoy the climb. We are looking for ambitious & exceptional people to join our (relatively small) team to help us build the next generation of financial markets.

Role Roadmap

As our go to data person at Kalshi, you build & operate the full data stack at Kalshi. This role is one part data engineering, one part data analysis.

Some of the projects you may work on:

• Partner closely across the business to find improvements/opportunities & influence decisions using data science methodologies & tools
• Drive the collection of new data & the refinement of existing data sources & pipelines
• Build actionable KPIs, create production-quality dashboards & notebooks to convey insights
• Analyze large, complex datasets to extract insights & decide on the appropriate techniques & data representation
• Define & advance best practices within an experiment-driven culture
• Inform product engineering roadmap through analysis of marketplace, user behavior, & product trends

Technology:

Our tech stack includes Python, SQL, DBT for data analytics & pipelining, pipelining & machine learning, Spark for big data processing, & visualization through Superset. We leverage cloud platforms such as AWS for scalable data storage & computational needs.

What youll do:

• Partner with backend engineering teams to design, develop & implement large scale, high volume, high performance data models & pipelines for Data Lake & Data Warehouse
• Design & maintain robust ETL processes, focusing on data quality, error handling, & automated monitoring while continuously optimizing performance & resource utilization
• Work with product teams to identify gaps in our end-to-end data insights workflow & lead engineering efforts to improve it
• Partner with data scientists to implement & optimize feature engineering pipelines, support experimentation workflows, & build scalable infrastructure for model deployment & training data preparation
• Build intuitive internal tools & dashboards that enable operations & growth teams to efficiently query & analyze data without requiring deep technical expertise

What were looking for:

• Bachelor's degree in Computer Science or equivalent professional experience, with 4+ years of hands-on software development
• Strong command of key programming languages (Python, Golang, Java)
• Proven track record in data pipeline development using modern orchestration tools (Airflow, Flink, Dagster)
• Production experience with real-time data streaming platforms like Apache Kafka & Flink
• Hands-on expertise with major cloud data warehouses (Snowflake, Redshift) & traditional databases like PostgreSQL
• Strong data visualization skills using industry-standard tools (Tableau, Superset, Looker)
• Proven track record of taking initiative & thriving in fast-paced environments
• Sharp analytical skills with a focus on market dynamics & consumer insights
• Passionate about your craft & committed to delivering exceptional results

Bonus points

• Spearheaded data engineering initiatives for a high-growth consumer platform, delivering end-to-end data solutions from ingestion to insights

Our Culture

Meritocracy is at our core, & we value people who take ownership & figure (usually hard) things out. We dream big. We love our craft deeply & are proud of what we put out in the world. We are committed to our vision of building something big but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshis most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

NYC Pay Transparency Disclosure:

Salary Range: $100,000 to $250,000 annually plus equity & benefits.

This salary range is based on the current available market data & represents the expected salary range for this role. Kalshi has minimal hierarchy & few titles, but a broad range of experience is represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you & would welcome you to reach out to discuss further.