Senior Data Engineer

Credit Genie; Philadelphia (Philadelphia County); Presencial; USD 140 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Fitness stipend

401(k) matching

Meal program

HSA match

Life & disability insurance

Flexible PTO

Resumo da oferta

Credit Genie is seeking a Senior Data Engineer to own scalable data pipelines and platform capabilities across Snowflake and AWS. You will tackle complex data problems, ensure data reliability, and enable analytics and downstream applications with strong technical judgment.

You will design data pipelines, orchestrate ETL/ELT, and partner across teams to deliver data products that power analytics and business decisions.

Qualificações

• 5+ years designing, building, and operating production data systems.
• Advanced SQL skills and Python for data processing.
• Experience with Snowflake and AWS cloud infrastructure.
• ETL/ELT, orchestration, and data modeling skills.
• Experience with data quality controls, monitoring, and production support.
• Git-based development and CI/CD practices.

Responsabilidades

• Design, develop, and operate reliable data pipelines across batch, streaming, and CDC patterns.
• Lead ETL/ELT design and orchestration workflow decisions for performance and cost.
• Develop SQL and Python solutions for transformation, automation, and data processing.
• Strengthen data quality, freshness monitoring, and observability.
• Optimize Snowflake workloads, storage, and pipeline architecture for reliability and cost-efficiency.
• Investigate production data incidents, identify root causes, and implement durable fixes.
• Collaborate with Analytics Engineering, Data Science, Product, and Engineering to deliver data products.
• Advance engineering standards and reusable patterns across testing, version control, and CI/CD.

Conhecimentos

Advanced SQL

Python

Data pipelines

Data modeling

ETL/ELT

CI/CD

Data quality

Formação académica

Bachelor's degree in CS/Engineering

Equivalent practical experience

Ferramentas

Snowflake

AWS

dbt

Airflow

Git

Descrição da oferta de emprego

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.

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.