Perpay
Super Day - Data Engineering Internship
Philadelphia, Pennsylvania, United States · Intern · Internship
Sponsorship not specifiedDetected 13 days ago
PythonFull-Stack DevelopmentObject-Oriented ProgrammingSQLRedshiftAWSTerraformRESTAirflowData EngineeringData ScienceAccountingERPCollaboration
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Files H-1B transfers
2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 4 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Introduce yourself on Slack and meet your team.
- Get oriented in the warehouse, walk through our most-used pipelines with the rest of the team, and read enough of the codebase to start asking useful questions.
- Get fluent enough in our Airflow setup and Redshift conventions to navigate the codebase independently.
Responsibilities
- Scope your first real project with a mentor, including the design decisions and trade-offs involved.
- Have met with various business owners across the company to build your network and get a feel for how a data team fits into a fast-paced startup.
Requirements
- Experience with database and/or data warehouse operations.
Nice to have
- Experience with object-oriented programming languages (Python preferred)
Skills
- Exposure to open-source data tooling and cloud computing systems
Compensation
- Hourly compensation
Benefits
- Meaningful compensation and equity
- Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option)
- Unlimited PTO policy
- Remote weeks around major holidays + extra holiday on weekends like MDW and LDW
Company info
- Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit.
- With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey.
- Our venture partners include First Round Capital and L Catterton.
- Products we've built to make an impact:
- Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.
- Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.
- Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.
- Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office.
- Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup.
- We are driven by a mission to significantly improve the financial stability of everyday Americans.
- For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit.
- With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment.
- We are scaling our operations, building new offerings, and deepening our impact.
- We are looking for teammates eager to join us on this journey.
This listing is sourced directly from Perpay's careers page and normalized into a canonical job model.