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As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare related data from various sources.

You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations. You will develop tools and solutions to facilitate data integration, data warehousing, and modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers.

The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design. The candidate should also have a desire to learn and enrich their knowledge in data science, machine learning, and other related fields.

About Tendo

Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. 

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location

Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; and Philadelphia, PA. Candidates may be located in any one of our four hub locations.

Responsibilities

• Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis.
• Optimize data infrastructure and processes to ensure optimal performance and scalability.
• Develop and maintain data documentation and data lineage.
• Stay current with emerging technologies and industry trends related to data engineering.

• 5+ years of experience in data engineering.
• Extensive experience in the design, build, and maintenance of data ETL pipelines.
• Extensive knowledge of coding in Python or Scala with focus on data processing.
• Experience using Apache Spark (PySpark or Scala).
• Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.).
• Experience with data and entity relationship modeling to support data warehouses and analytics solutions.
• Deep understanding of relational and non-relational databases (SQL/NOSQL).
• Comfortable working with unstructured and semi-structured data (Web scraping).
• Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean).
• Basic data privacy and security principles.

• Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC.
• Experience with Delta Lake and/or Databricks.
• Experience with machine learning workflows and data requirements for use with ML frameworks.
• Experience validating data quality, preferably with test automation.
• Experience with containerization using Docker.

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

We believe everyone should have access to a better financial future. Our team builds simple, transparent and inclusive products that transform borrowing behavior and improve financial outcomes. With our easy to use, all-in-one platform, we empower our 7 million members to achieve their goals, one paycheck at a time. Backed by First Round Capital and JP Morgan.

Our office inspires our talented team members to build life-changing products for our customers and have fun while doing it. We created a home away from home by designing a kitchen, living room, bar, and office space all-in-one.

Perpay is located in Center City, Philadelphia in a new, open floor plan, river-front office. A coffee bar sits at the heart of the office with espresso, drip coffee, cold brew and tea options. The rest of the office has comfortable, open seating including: sitting desks, standing desks, couches, lounge chairs, and kitchen booths & tables. We provide catered lunches and weekly groceries so team members can make breakfast or lunch, or just snack -we don’t judge. Join us as we transform the credit landscape!

How far we have come and where we are going:

• 2017: Launched Perpay’s buy now, pay later marketplace of 1,000+ top brands

• 2020: Launched Perpay+, allowing members to build credit by shopping with an average credit score increase of 35+ points

• 2022: Building our next product, establishing Perpay as a household name for consumer finance

About the Role:

We are searching for a full stack Data Scientist with an insatiable level of curiosity and a passion for learning new skills and applying them to real world problems. The role of a Data Scientist at Perpay encompasses modeling and probabilistic analysis, building and maintaining the data science infrastructure, solution deployment, and communication with stakeholders. As a member of the Data Science group, you will be exposed to all aspects of the business, be it risk, marketing or commerce and provide impactful insights for decision making.

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

Responsibilities:

• Perform advanced data analytics utilizing mathematics, probability, and statistics
• Develop machine learning models and tooling for various business domains
• Deploy models into continuous training architecture and perform maintenance on data science infrastructure
• Present results and analyses to the company's leadership team
• Provide mentorship to junior members
• Act as a subject matter expert in the industry generally and Perpay specifically, establishing a solid foundation to be better positioned for long-term career success

• 3+ years work experience (does not include internships) in either data engineering, science, or machine learning
• Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)
• Preferred: Master's degree graduation date of 2021 or earlier
• Proficient with Python, preferred o Proficient using SQL for acquiring and transforming data (2+ years required)
• Experience in building and maintaining cloud computing architectures, AWS Preferred
• High level of expertise in machine learning, mathematics, probability and statistics
• Knowledgable in modern Machine Learning deployment patterns
• Experience processing, filtering and presenting large quantities of data
• Excellent verbal and written communication skills with the ability to effectively advocate for technical solutions to engineering teams and business audiences
• Natural curiosity and a desire to learn

• Effective project management, problem solving, analytical and troubleshooting skills
• Experience implementing machine learning solutions at scale
• Strong knowledge and understanding of financial services

What We’ll Bring:

• Competitive salary + company equity

• 401k with company match

• Medical / Dental / Vision insurance

• Pre-tax Public Transportation benefit

• Relocation assistance

• Student loan company match

• Gym subsidy with City Fitness

• Cell phone plan

• Paid parental leave

• Unlimited PTO

• Optional remote work days

• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally.

This is not a remote opportunity (#LI-Onsite)

Perpay is proud to be an equal opportunity employer. We value diversity and are committed to inclusion. 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 careers@perpay.com to request accommodation.