Data Engineer

Summary

Join Kalshi, a regulated financial exchange, as their go-to data expert. You will build and operate the full data stack, combining data engineering and analysis. Responsibilities include partnering with the business to identify improvements, collecting and refining data sources, building KPIs and dashboards, analyzing datasets, defining best practices, and informing the product roadmap. The ideal candidate possesses strong analytical and communication skills, expertise in Python and SQL, and experience with big data tools. Kalshi offers a competitive salary, equity, and benefits, fostering a collaborative and meritocratic culture.

Requirements

• Expertise in Python and SQL with a strong familiarity with Pandas, Numpy, DBT
• Strong critical thinking and analytical skills
• Excellent communication abilities
• A knack for working across teams in a fast-paced environment
• Ability to support initiatives in all facets from analytics/data engineering and product analytics
• 3+ years of Data Engineering experience
• Ownership mentality
• Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
• Can manage ambiguity and working on multiple projects at once

Responsibilities

• 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

Preferred Qualifications

• Knowledge of Big Data tools like Spark
• Experience with cloud platforms (bonus points for AWS)
• Expertise in data visualization tools and BI tools
• Intermediate understanding of Machine Learning algorithms and principles
• Extremely strong statistical analysis skills
• Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Prior experience working with financial data
• Interest in surveillance systems
• Previous experience working on government interfacing data projects

Benefits

Salary Range: $100,000 to $180,000 annually plus equity and benefits