Senior Data Engineer

Credit Genie
Philadelphia, New York
Workplace: OnsiteFull timeUSD 180,000 - 210,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical judgment","Cross-functional collaboration","Problem-solving","Communicating tradeoffs"]

Own the design and operation of scalable data pipelines for first-party and third-party data across batch, streaming, and CDC patterns. Lead ETL/ELT and orchestration architecture, building reliable SQL and Python transformations with strong engineering standards. Improve data quality, freshness monitoring, and observability, optimize Snowflake workloads, and drive durable fixes for production data incidents. Partner across analytics, data science, product, and engineering to deliver dependable data products.

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Credit Genie
Credit Genie
3 days ago

Senior Data Engineer

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Last checked: 9 hours agoStatus: Live

Job Summary

Own the design and operation of scalable data pipelines for first-party and third-party data across batch, streaming, and CDC patterns. Lead ETL/ELT and orchestration architecture, building reliable SQL and Python transformations with strong engineering standards. Improve data quality, freshness monitoring, and observability, optimize Snowflake workloads, and drive durable fixes for production data incidents. Partner across analytics, data science, product, and engineering to deliver dependable data products.
Location: Philadelphia, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate reliable data pipelines across batch, streaming, and CDC patterns.
  • •Lead technical design of ETL/ELT and orchestration workflows, balancing performance, scalability, maintainability, and cost.
  • •Implement transformation, validation, automation, and complex data processing using SQL and Python with maintainable engineering practices.
  • •Design and strengthen data quality controls, freshness monitoring, alerting, and observability to prevent downstream impact.
  • •Optimize Snowflake workloads and investigate production data incidents to identify root causes and implement durable fixes.

Pay and Benefits

Salary: USD 180,000 - 210,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionGym Membership401kMeal ProgramHsa MatchLife InsurancePaid Leave

Key Requirements

  • •5+ years of data engineering experience designing, building, and operating production data systems, ideally with a bachelor’s degree in CS/engineering or equivalent experience.
  • •Advanced SQL and strong proficiency in Python (or similar) for data processing, automation, and production engineering.
  • •Experience with Snowflake and AWS, including performance, reliability, and cost considerations.
  • •Deep experience with ETL/ELT, orchestration, schema design, and data modeling using tools such as dbt and Airflow (or similar).
  • •Strong understanding of batch and real-time architectures, including streaming and CDC technologies, plus experience with data quality controls and production support practices.
Experience:5+ yearsData engineeringCloud data warehouseETL/ELTData pipelinesReal-time dataData observability
Education:Bachelor's
Skills:Technical judgmentCross-functional collaborationProblem-solvingCommunicating tradeoffs
Tech Stack:SQLPythonSnowflakeAWSETLELTCDCStreamingDbtAirflowGitCI/CDAutomationObservabilityAlertingMonitoringVersion controlSQL transformationsData modelingSchema design

Company Brief

Credit Genie
Credit Genie (Creditly Corp.) is a mobile-first personal finance and cash-advance platform using AI to provide short-term cash access, budgeting, credit-building tools, and financial insights to help consumers manage credit and avoid overdrafts.
Industry: Lending
Company Size: Medium (51 to 250 employees)
Revenue: USD 1M to 5M
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Conshohocken, United States
Founded: 2019
Glassdoor
Glassdoor: 4.9
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