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    Data Engineering Manager - Philadelphia, United States - Perpay - Career's Page

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    Job Description

    Job DescriptionAbout Us:

    We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability.

    Some things we're excited about:

    • $500 million in spending power used by our members
    • Increasing members' credit by 36 points (on average) within the first 3 months
    • Backed by First Round Capital and JP Morgan

    Products we've built to make an impact:

    • Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.
    • Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.
    • Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.

    The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home.

    About the Role:

    As a Data Engineering Manager at Perpay, you will lead data engineers and work closely with data scientists and analysts to help drive our vision of building data products and insights for our stakeholders and customers, accelerating Perpay's mission to create inclusive financial products that improve the lives of our members. We are actively investing in the right people, data, and infrastructure to support this vision. With the launch of a credit card, we have a rapidly increasing need for data engineering resources to meet modeling, reporting and analytical requirements. This position is tailored for an experienced professional who can seamlessly transition between the responsibilities of a Data Engineering Manager and a Senior Data Engineer, based on their unique skill set and aspirations.

    We are searching for a Data Engineering Manager who is a quantitative, critical thinker with a passion for data and the capacity to work in a fast-paced, entrepreneurial environment. Our ideal candidate has experience in serving data-driven solutions at scale, crossing multiple functional areas, driving organizational efficiency, and managing a rapidly-growing data team. Applicants should be highly motivated and comfortable with managing multiple projects with multiple stakeholders in a diverse array of subject matter.

    Our greatest strength is our people and we'd love for you to be one of them

    Responsibilities:
    • Lead a team of data engineers that are focused on illuminating the strategy and insights within the data collected in our data platform by batch and near real-time processes
    • Partner with data producers in understanding data sources, enable data contracts, and define the data models that drive analytics
    • Implement data governance strategies and practices such as metadata management, data lineage, and data catalogs
    • Communicate across business areas to serve automated data solutions at scale
    • Analyze and resolve complex challenges around data and tools. Optimize analytical workflows by identifying opportunities and automating them
    • Be the SME for the data, pipeline design, and other related big data and programming technologies
    • Implement solutions to bring together application data generated by distributed first and third-party systems driving our centralized data lake
    • Contribute to a modern data architecture to ensure scalability, reliability, and data quality
    • Learn more about the industry and Perpay, establishing a solid foundation to be better positioned for long-term career success
    What You'll Bring:
    • Bachelor's degree or higher in a quantitative/technical field (Computer Science, Statistics, Engineering, Mathematics, Physics, Chemistry)
    • Strong leadership skills developed with a minimum 5 years' experience leading data engineering teams
    • Ability to analyze and estimate needed resource capacity needed both with a current state focus and longer-term roadmap view in mind
    • A proven track record of promoting team's success by driving roadmap creation and execution, facilitating technical design, monitoring execution of work through production delivery
    • Experience with architectural design and ability to drive consensus on design and approach, including frameworks, languages, and build/buy conversations
    • Strong working knowledge of SQL/NoSQL, relational databases, Docker, Python environments in Linux-based systems
    • Expert level understanding of cloud data platforms (AWS, GCP, Azure) and large scale data processing using traditional and distributed systems with tools like Airflow and Spark
    • High level of motivation and empathy in mentoring teammates and creating an environment that is conducive to their success and growth

    Hey, we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for

    What We'll Bring:
    • Competitive salary + company equity
    • 401k with company match
    • Medical / Dental / Vision insurance
    • Flexible Spending Account (FSA)
    • Relocation assistance
    • Pre-tax commuter benefit
    • Student loan repayment match
    • Gym subsidy with City Fitness
    • Cell phone plan
    • Paid parental leave
    • Unlimited PTO
    Additional Perks:
    • Opportunity to gain experience at one of the fastest-growing financial startups in the country
    • Work on both e-commerce & fintech customer-facing products
    • Collaborate cross-functionally with product, design, marketing, operations, data teams, and more

    This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1)

    Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at to request accommodation.


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