Data Engineer

Credit Genie

$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Data Engineering experience with production systems
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Advanced SQL and strong proficiency in Python or similar programming language
  • Experience with modern cloud data warehousing (e.g., Snowflake) and AWS
  • Deep knowledge of ETL/ELT, orchestration, and data modeling tools
  • Understanding of batch and real-time data architectures including CDC technologies
  • Experience in designing data quality controls and monitoring frameworks

Responsibilities

  • Design and operate reliable data pipelines for various data patterns
  • Lead technical design of ETL/ELT workflows, focusing on performance and scalability
  • Develop robust SQL and Python solutions for data processing and validation
  • Implement data quality measures and observability to anticipate issues
  • Optimize Snowflake workloads and pipeline architecture for efficiency
  • Investigate production data incidents and improve platform resilience
  • Collaborate with cross-functional stakeholders to deliver supported data products
  • Evolve engineering standards and provide technical guidance to team members

Benefits

  • 100% company-paid medical, dental, and vision coverage from day one
  • Up to $100 monthly fitness reimbursement or complimentary fitness membership
  • 401(k) plan with 3.5% match and immediate vesting
  • Meal program for both lunch and dinner
  • Pre-tax benefits including $1,000 HSA match
  • Life and accidental insurance coverage
  • Flexible PTO policy
Full Job Description
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.

Similar Jobs

More Jobs at Credit Genie

More Information Technology Jobs

Find similar Data Engineer jobs: