Data Engineer
New York or Remote
What we're up to
Kalshi has launched the first regulated financial exchange that allows people to trade on the anticipated outcome of events. We’re now looking for the right people to help us continue to grow and scale.
Our vision is to allow people to capitalize on their opinions and hedge risks that relate to their everyday lives, from "Will CPI rise more than 0.5% this month?” to "Will 2023 be the hottest year on record?"
We're on a long journey in uncharted territories and are looking for passionate and outlier members excited to embark on this voyage towards building the future of the financial system.
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 experiment-driven culture
- Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
Technology
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.
About you
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! 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.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics.
Skills
- Expertise in Python and SQL with a strong familiarity with Pandas, Numpy, DBT,
- Knowledge of Big Data tools like Spark is preferred
- 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
Attributes
- 3+ years of Data Engineering experience
- Love what Kalshi is building
- 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
Bonus Points
- Prior experience working with financial data
- Interest in surveillance systems
- Previous experience working on government interfacing data projects
NYC Pay Transparency Disclosure:
Salary Range: $100,000 to $180,000 annually plus equity and benefits.
This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.
Our Culture
We are a group of people who work hard and get things done, and we're looking for more people like that! Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We think of Kalshi as a family bound together by our mission: we believe that this is the best (and most fun!) way to work. Kalshians are, by far, Kalshi's largest asset and we're obsessed with growing and investing in our people.
Commitment 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 support our mission and values, we’d love to hear from you.
ApplyJob Profile
- Analyze datasets for insights
- Build and operate data stack
- Create dashboards and KPIs
- Drive data collection and refinement
- Inform product engineering roadmap
AWS Business Communication Data analysis Data Visualization Dbt Machine Learning Numpy Pandas Python Spark SQL Statistical analysis
Experience3 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9