MoneyLion is a leader in financial technology powering the next generation of personalized products and content – with a top consumer finance mobile app, a premier embedded finance platform & API for enterprise businesses and a world-class media arm. MoneyLions mission is to positively change peoples financial path by rewiring the financial system and empowering them with greater financial literacy and access. In our go-to money super app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their money life with our innovative financial products and marketplace – including our full fledged suite of features for people to save, spend, borrow and invest – seamlessly bringing together the best offers and content from MoneyLion and our 1,000+ enterprise partner network, together in one experience. MoneyLions enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.For more information about MoneyLion, please visit. For additional information about Engine by MoneyLion for enterprise businesses, please visitWe are looking for an experienced engineer and leader to oversee a dedicated data-focused engineering team. In this position, you will lead our Reporting, Analytics, and Data team, a full-stack team composed of data, client-side, and server-side engineers, responsible for moving, processing, and displaying large amounts of data quickly. This team will own reporting and analytics for our partners, delivering actionable data quickly. It offers opportunities to work closely with smart, skilled engineers and subject matter experts on challenging problems involving security, privacy, performance optimization, and observability. If you have people management experience, enjoy working with SQL, and want to hone your skills in those areas of concern to expert levels, this job will be an excellent fit.Day to Day:Lead and mentor a team of engineers to create great productsValidate data, triage discrepancies, and optimize queries with SQLWork with Python in AWS lambdas to manage existing ETL processesContribute to our service code base in Scala, or help set up SparkOwn Evens data pipeline from its start to its ends, supporting our Business Intelligence and Data Science teamsBuild the tools our partners use to study and optimize their performance on our platformRecruit, develop, and retain top talentOwn software development lifecycle and Agile practices, including sprint planning, retrospectives, etcReview code with an emphasis on readability, maintainability, and standardsProvide support for colleagues who depend on your teams output, tracing data through various areas of the stackMonitor, maintain, and improve observability and alerting for your teamIdentify opportunities for improving our processes with a focus on efficiency and impactParticipate in discussions around feasibility and scope of product initiativesInterface with product, business and other team leads to coordinate resources, define projects and manage workDemonstrate company values and promote them on the team: empowerment, transparency, empiricism, and fearlessnessYou may be a fit if you have:5+ years software engineer experience or a strong academic background in computer science2+ years demonstrable success leading, mentoring, and developing engineering teams, preferably in a high growth, tech start-up environmentA very good understanding of various database internals (relational, columnar, memory) at a theoretical level, including how data is stored, changed, and retrievedExperience with site reliability engineering concepts and practicesHands-on experience debugging systems and identifying root causesSuccessfully built personal relationships and collaborated across organizational boundaries to solve problems and beat expectationsMeticulous attention to detailStrong people skills with a well-developed management philosophy, including opinions on process and how teams should operateUnderstanding of non-technical data-handling concerns including regulatory compliance and best practices with regard to personal information.Working knowledge of AWS infrastructure, containerized services, and CI/CD pipelinesSolid understanding of POSIX shells for working with internal toolingFamiliarity with basic accounting conceptsFull time employees are eligible for the following benefits:Comprehensive medical/dental/vision packages + life and disability insurance401K retirement planStock optionsUncapped paid time off (PTO)Company paid holidays + monthly personal holidayMembership to Udemy Perks including a monthly wellbeing stipend, $200 one time WFH stipendWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.New York City, NY, US /Engineering Engineering /Employee-Full Time/ Remote
Associated topics: algorithm, application, c c++, c#, matlab, perl, programming, python, sdet, software programmer
Business Intelligence (BI) Agile CI/CD Scala data-management Data Science Python Amazon Web Services (AWS) Apache Spark SQL Full-Stack Developer ETL RDBMS debugging