Data Engineer

Y Combinator-backed investing app for Gen Z, raised $5.5M from top investors
$125,000 - $200,000
Data
Mid-Level Software Engineer
Remote
1 - 10 Employees
3+ years of experience
Finance

Description For Data Engineer

Alinea is seeking a Data Engineer to join their team building an investing app for Gen Z. As a Y Combinator-backed startup with $5.5M in seed funding from notable investors like Goodwater Capital, F7 Ventures, GFR, and Worklife Ventures, we're revolutionizing investing for the next generation.

The ideal candidate will work directly with the founding team to build data pipelines, create predictive models, and develop analytics infrastructure. This role is perfect for someone who aspires to become a Head of Data and is comfortable taking ownership of data-driven decision-making.

Key aspects of the role include:

  • Designing and implementing data infrastructure
  • Creating predictive models for marketing and user behavior
  • Developing A/B testing systems
  • Building comprehensive analytics dashboards
  • Working closely with engineering and marketing teams

The position offers:

  • Direct collaboration with founders
  • Opportunity to shape the data strategy of a growing fintech startup
  • Competitive compensation with equity
  • Flexible work environment
  • Clear path for professional growth

This role is ideal for someone who thrives in a fast-paced startup environment, is passionate about data-driven solutions, and wants to make a significant impact in revolutionizing investing for younger generations. You'll be joining a talented team dedicated to building the best investing experience for Gen Z while having the opportunity to grow into a leadership position.

Last updated 2 hours ago

Responsibilities For Data Engineer

  • Set up a full data pipeline bringing in marketing spend and app analytics
  • Run regressions and ML models on marketing spend and app usage to predict revenue
  • Conduct real-time analysis of spend and LTV
  • Perform cohort analysis to understand user behavior and retention
  • Conduct product analytics to understand and predict app usage trends
  • Build out an A/B testing system
  • Develop and optimize ETL processes
  • Implement and manage data storage solutions
  • Create dashboards and reports for key performance metrics

Requirements For Data Engineer

Python
  • 3+ years of experience in data engineering, data science, or related role
  • 2+ years of machine learning, statistical modeling experience
  • 2+ years of data querying languages (SQL) and scripting languages (Python) experience
  • Experience with data visualization tools (Tableau, Looker, Power BI)
  • Knowledge of machine learning techniques and frameworks
  • Strong problem-solving skills
  • Excellent communication and collaboration skills

Benefits For Data Engineer

Equity
  • Competitive salary and equity options
  • Flexible work environment
  • Growth opportunities

Interested in this job?

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