Data Engineer

Kalshi is pioneering prediction markets in the US, allowing people to trade on the outcome of events across various sectors.
$100,000 - $250,000
Data
Senior Software Engineer
In-Person
["11 - 50"] Employees
4+ years of experience
Finance
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Description For Data Engineer

Kalshi is revolutionizing the financial market landscape by creating the first-ever legal prediction markets in the US. As the fastest financial market in America, Kalshi enables trading on outcomes across various sectors including politics, economics, weather, tech, and more. They're seeking a skilled Data Engineer to join their mission of building the largest financial market globally.

The role combines data engineering and analysis, requiring expertise in building and maintaining data infrastructure while delivering actionable insights. You'll work with Python, SQL, DBT for analytics and pipelines, Spark for big data processing, and visualization through Superset, all powered by AWS cloud infrastructure.

As the go-to data person, you'll be responsible for designing and implementing large-scale data pipelines, maintaining ETL processes, and building intuitive tools for internal teams. The position requires strong technical skills in programming, data warehousing, and visualization, along with the ability to work in a fast-paced environment.

Kalshi offers a meritocratic culture where ownership and problem-solving are highly valued. The company provides competitive compensation, including equity and benefits, with a salary range of $100,000 to $250,000 annually. Based in New York City, Kalshi is committed to building a diverse and inclusive workplace where all qualified candidates are welcomed regardless of their background.

This is an exceptional opportunity for a data professional who wants to be at the forefront of financial innovation and help shape the future of prediction markets while working with cutting-edge technology and contributing to a product that brings more truth through the power of markets.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Partner with backend engineering teams to design and implement data models and pipelines
  • Design and maintain robust ETL processes
  • Work with product teams to identify gaps in data insights workflow
  • Partner with data scientists to implement feature engineering pipelines
  • Build intuitive internal tools and dashboards

Requirements For Data Engineer

Python
PostgreSQL
  • Bachelor's degree in Computer Science or equivalent professional experience
  • 4+ years of hands-on software development
  • Strong command of programming languages (Python, Golang, Java)
  • Experience with data pipeline development using modern orchestration tools
  • Production experience with real-time data streaming platforms
  • Hands-on expertise with cloud data warehouses and traditional databases
  • Strong data visualization skills
  • Sharp analytical skills
  • Passionate about craft and committed to delivering exceptional results

Benefits For Data Engineer

Equity
  • Equity

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