Software Engineer, Data
AI summary of the role
Kalshi is hiring a Software Engineer, Data to own the full data stack—data engineering and analysis—at a fast-growing regulated prediction market platform.
What you’ll do
- Design, develop, and implement large-scale data models and pipelines for Data Lake and Data Warehouse
- Design and maintain robust ETL processes with focus on data quality, error handling, and automated monitoring
- Partner with product teams to identify gaps in end-to-end data insights workflow and lead engineering improvements
- Implement and optimize feature engineering pipelines and support experimentation workflows
What you’ll bring
- Bachelor's degree in Computer Science or equivalent with 4+ years of hands-on software development
- Strong command of Python, Golang, or Java
- Proven track record in data pipeline development using Airflow, Flink, or Dagster
- Production experience with real-time data streaming platforms like Apache Kafka and Flink
Technologies
Python · SQL · DBT · Spark · Superset · AWS · Airflow · Flink · Dagster · Apache Kafka · Snowflake · Redshift
About Kalshi
CFTC-regulated prediction market platform enabling event-outcome trading across politics, economics, sports, and culture; fastest-growing US financial market.
Series E · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
talented people, work really hard, and enjoy the climb. We are looking for ambitious and 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 and 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 and influence decisions using data science methodologies and tools Drive the collection of new data and the refinement of existing data sources and pipelines Build actionable KPIs, create production-quality dashboards and notebooks to convey insights Analyze large, complex datasets to extract insights and decide on the appropriate techniques and data representation Define and advance best practices within an
More from the job description
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 and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and 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 it’s beautiful and deeply fulfilling. Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and 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 and 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 and influence decis [... source excerpt omitted ...] t 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 and Flink Hands-on expertise with major cloud data warehouses (Snowflake, Redshift) and traditional databases like PostgreSQL Strong data visualization skills using industry-standard tools (Tableau, Superset, Looker) Proven track record of taking initiative and thriving in fast-paced environments Sharp analytical skills with a focus on market dynamics and consumer insights Passionate about your craft and committed to deli [... source excerpt omitted ...] t to Equal Opportunity Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to
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