K
Kalshi
Software Engineer (Data)
Skills
LookerData EngineeringTableauPythonGolangData ScienceData VisualizationJavaPostgreSQLKafkaSnowflakeData AnalysisApache Airflow
2 months ago
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Important information
Contract type:
Permanent
Salary:
$100,000 – $250,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- 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
- 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 experiment-driven culture
- Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
- Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine learning, Spark for big data processing, and visualization through Superset. We leverage cloud platforms such as AWS for scalable data storage and computational needs
- You will partner with our Engineering and Product teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions- We are looking for ambitious and exceptional people to join our (relatively small) team to help us built the next generation of financial markets
- Production experience with real-time data streaming platforms like Apache Kafka and Flink
- Proven track record in data pipeline development using modern orchestration tools (Airflow, Flink, Dagster)
- Bachelor’s degree in Computer Science or equivalent professional experience, with 4+ years of hands-on software development
- Hands-on expertise with major cloud data warehouses (Snowflake, Redshift) and traditional databases like PostgreSQL
- Proven track record of taking initiative and thriving in fast-paced environments
- Strong command of key programming languages (Python, Golang, Java)
- Strong data visualization skills using industry-standard tools (Tableau, Superset, Looker)
- Passionate about your craft and committed to delivering exceptional results
- Sharp analytical skills with a focus on market dynamics and consumer insights
- Spearheaded data engineering initiatives for a high-growth consumer platform, delivering end-to-end data solutions from ingestion to insights
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