Senior Software Engineer - CashFlow Platform

January 25

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Bridging a world of consumer-permissioned data

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Description

• Collaborate with the product and data science teams to build a cashflow data platform • Collaborate with the data science team to productionalize research models • Increase data observability for customers and stakeholders • Develop quality controls around ML-powered services • Maintain and improve production ML models • Develop tooling and frameworks to improve research velocity • Participate in standard engineering activities • Build a unified data platform • Design an event-based system for monitoring production ML models • Create an operations dashboard • Stand up an MLOps platform • Pair with data scientists to write state-of-the-art cashflow models • Optimize data pipeline latency

Requirements

• 5+ years of software engineering experience • 2+ years driving large multi-team software projects • 3+ years experience with databases, data warehouses, or data lakes • Strong SQL skills • 2+ years using data engineering tools like Spark, Hadoop, Pandas, or Airflow • Proficient in Python • Experience building Python-based web applications • Deep understanding of a popular distributed computing framework • Knowledge of numerical libraries • Experience in observability tools • Ability to design sound, highly performant solutions in AWS • Firm grasp of software testing methodologies • Curious, self-driven, and eager to learn • Experience with MLOps • Experience with banking data or FinTech

Benefits

• Base salary range of $193,500 - $236,500 per year • Competitive compensation including base salary, equity grants, incentive compensation, professional development • Flexible PTO and tenure rewards • Employer-subsidized medical, dental, and vision plans • Mental health and wellness benefits • Range of other benefits & perks