Okay, I've searched for Software Engineer roles focused on data engineering in New York, requiring 4+ years of experience, strong skills in Python and SQL, involvement in big data processing, and with a salary expectation between $100,000 and$250,000. I found 37 suitable positions for you.

Sure. Here's the analysis:

Job Analysis:

The Software Engineer, Data role at Kalshi is fundamentally centered around building and operating the company's data infrastructure to support its innovative prediction market platform. The candidate will be expected to excel in both data engineering and data analysis, ensuring that data flows seamlessly through the organization while also driving insights that inform strategic decisions across various departments. This hybrid focus suggests that the candidate must possess a solid technical foundation while also having a keen business acumen to identify opportunities for improvement. Challenges will likely include managing vast and complex datasets, enhancing existing data pipelines, and integrating with different teams to translate analytical insights into actionable strategies. Success in this role will be defined not just by technical competency, but also by the ability to communicate data-driven insights effectively and to develop solutions that cater to the company's fast-paced and rapidly evolving operational environment.

Company Analysis:

Kalshi occupies a unique and disruptive space in the financial services industry, positioning itself as the first federally regulated exchange for prediction markets. This innovative approach indicates a company culture steeped in entrepreneurial spirit, creativity, and a willingness to challenge conventional norms. Employees likely engage in a fast-paced environment driven by meritocracy and personal accountability, values that emphasize individual initiative and ownership. The small team size suggests that the Software Engineer, Data will have considerable visibility and influence, working directly with key stakeholders across the organization. The role aligns strategically with Kalshi's ambitious objective of redefining financial markets and expanding into new and complex asset categories. As such, the person in this role will not only be contributing to ongoing projects but will also be integral in shaping the future direction of the company's data strategy and its overall mission of enhancing market truth through innovative products.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral Questions:
• 1. Tell me about a time when you identified a significant inefficiency in a data process. How did you address it, and what was the outcome?
• 2. Describe an experience where you collaborated with cross-functional teams to deliver a data-driven solution. What challenges did you face, and how did you overcome them?
• 3. Can you provide an example of a project where you had to analyze complex datasets? What techniques did you use, and what insights did you derive?
• 4. Share a situation where you had to rapidly learn a new technology or tool to complete a project. How did you approach the learning curve, and what was the result?
• Technical/Role-Specific Questions:
• 5. What approach do you take when designing ETL processes to ensure data quality and performance? Can you walk us through a recent experience?
• 6. How would you handle large-scale data pipelines when dealing with real-time data streaming? Share your experience with platforms like Kafka or Flink.
• 7. Describe your process for building actionable KPIs and dashboards. What tools have you found most effective, and why?
• 8. How do you ensure that your data models are not only robust but also adaptable to the ever-changing requirements of a fast-paced company like Kalshi?
• Situational Questions:
• 9. Imagine you are faced with discrepancies in the data that affects product decision-making. How would you investigate the issue, and what steps would you take to rectify it?
• 10. If you discovered an emerging trend in user behavior that could impact the company's business strategy, how would you communicate your findings to leadership?
• Company Fit/Motivation Questions:
• 11. Why are you interested in working at Kalshi, specifically in the context of its innovative approach to prediction markets?
• 12. How do you see your values aligning with Kalshi's mission to create a culture of truth through the power of markets?
• Questions for the Candidate to Ask the Interviewer:
• 13. Can you describe the collaboration process between the data engineering team and product teams in identifying gaps in the data workflow?
• 14. What are the biggest challenges currently facing the company in its growth, and how can this role help address them?
• 15. How does Kalshi plan to evolve its data strategy to keep up with market demands, and what role will the Software Engineer, Data play in that evolution?