Senior Data Engineer
Company websitecreditgenie.com (Credit Genie, opens in new tab)
Base salary $180K to $210K
Employer-published annual base salary, USD. Advertised base range in Plymouth Meeting, PA +2 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationPlymouth Meeting, PA +2 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (43 min ago) · observed since
All places named
- Plymouth Meeting, PA
- Philadelphia, PA
- New York, NY
About this job
Company
Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.
Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.
Overview
Join our Data Platform & Analytics team and help shape the trusted data foundation that powers analytics, strategy, and downstream applications. As a Senior Data Engineer, you will independently own the design and operation of scalable data pipelines and platform capabilities across our Snowflake and AWS environment. You will solve complex, cross-functional data problems, exercise strong technical judgment, and partner across the organization to make data reliable, accessible, and ready for a growing set of business and technical use cases.
What You'll Do
Design, development, and operate reliable data pipelines for first-party and third-party data across batch, streaming, and change data capture (CDC) patterns.
Lead the technical design of ETL/ELT and orchestration workflows, selecting appropriate patterns and tradeoffs for performance, scalability, maintainability, and cost.
Develop high-quality SQL and Python solutions for transformation, validation, automation, and complex data processing, while setting a strong standard for maintainable engineering practices.
Design and strengthen data quality, freshness monitoring, alerting, and observability so issues are detected and resolved before they materially impact downstream users.
Optimize Snowflake workloads, storage, and pipeline architecture with attention to reliability, scalability, platform performance, and cost efficiency.
Lead investigation of complex production data incidents, identify root causes across systems, and implement durable fixes that improve platform resilience and reduce recurrence.
Partner with Analytics Engineering, Data Science, Product, Engineering, and other technical stakeholders to evaluate source systems, define dependable data contracts, and deliver data products that support analytics and downstream applications.
Drive and evolve engineering standards and reusable patterns across automated testing, version control, CI/CD, documentation, schema design, and pipeline development; provide technical guidance and code review to other engineers when appropriate.
Requirements
5+ years of Data Engineering or closely related experience designing, building, and operating production data systems; bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Advanced SQL skills and strong proficiency in Python or a similar programming language for data processing, automation, and production engineering.
Strong experience with a modern cloud data warehouse such as Snowflake and cloud infrastructure such as AWS, including performance, reliability, and cost considerations.
Deep experience with ETL/ELT, orchestration, schema design, and data modeling using tools such as dbt, Airflow, or similar technologies.
Strong understanding of batch and real-time data architectures, including streaming and change data capture (CDC) technologies and their operational tradeoffs.
Demonstrated experience designing data quality controls, testing frameworks, monitoring, observability, and production support practices for critical data pipelines.
Strong working knowledge of Git-based development, CI/CD, automated testing, and modern software engineering practices for data systems.
Demonstrated ability to independently solve complex and ambiguous technical problems, exercise sound judgment, and communicate tradeoffs and recommendations to senior technical and business stakeholders.
Benefits and Perks
Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.
We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment.
Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox.
401(k) with a 3.5% match and immediate vesting
Meal program available for both lunch and dinner
Pre-tax benefits, including a $1,000 HSA match
Life and accidental insurance
Flexible PTO
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.
Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.
Source: Credit Genie on Ashby · View original posting (opens in new tab)
This listingSenior Data Engineer$180K to $210K
Senior Product Designer$180K to $220K
Senior Brand Designer$180K to $220K
Integrated Marketing Lead$185K to $205K
Organic Growth Lead$170K to $190K
Staff Marketing Data Analyst$200K to $230K
Director of Compliance$240K to $270K
Chart as a table
| Role | Published base |
|---|---|
| Senior Data Engineer (this listing) | $180K - $210K |
| Senior Product Designer | $180K - $220K |
| Senior Brand Designer | $180K - $220K |
| Integrated Marketing Lead | $185K - $205K |
| Organic Growth Lead | $170K - $190K |
| Staff Marketing Data Analyst | $200K - $230K |
| Director of Compliance | $240K - $270K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-04
Where this pay comes from
Location as the employer wrote it: Plymouth Meeting, PA • Philadelphia, PA • New York, NY
USD 180,000 – 210,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
