Data Engineer

Credit Genie
New York, Philadelphia, Toronto, Pittsburgh
Workplace: OnsiteFull timeUSD 180,000 - 210,000 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical judgment","Problem-solving","Communication","Stakeholder management"]

Own the design and operation of scalable data pipelines and platform capabilities for analytics and downstream applications. Build reliable ETL/ELT and orchestration workflows across batch, streaming, and CDC patterns using Snowflake and AWS. Develop maintainable SQL and Python transformations, strengthen data quality and observability, optimize warehouse performance and costs, and lead incident investigations to deliver durable fixes. Partner with analytics, data science, product, and engineering to deliver dependable data products and data contracts.

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Credit Genie
Credit Genie
3 days ago

Data Engineer

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Last checked: 3 hours agoStatus: Live

Job Summary

Own the design and operation of scalable data pipelines and platform capabilities for analytics and downstream applications. Build reliable ETL/ELT and orchestration workflows across batch, streaming, and CDC patterns using Snowflake and AWS. Develop maintainable SQL and Python transformations, strengthen data quality and observability, optimize warehouse performance and costs, and lead incident investigations to deliver durable fixes. Partner with analytics, data science, product, and engineering to deliver dependable data products and data contracts.
Location: New York, Philadelphia, Toronto, Pittsburgh
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate reliable data pipelines for first-party and third-party data across batch, streaming, and CDC patterns.
  • •Lead technical design of ETL/ELT and orchestration workflows balancing performance, scalability, maintainability, and cost.
  • •Build transformation and automation solutions using high-quality SQL and Python while setting maintainable engineering standards.
  • •Design and strengthen data quality, freshness monitoring, alerting, and observability to prevent downstream impact.
  • •Optimize Snowflake workloads, storage, and pipeline architecture; investigate production data incidents, identify root causes, and implement durable fixes.

Pay and Benefits

Salary: USD 180,000 - 210,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kGym MembershipMeal ProgramHsa MatchLife InsurancePaid Leave

Key Requirements

  • •5+ years of data engineering experience designing, building, and operating production data systems, or equivalent practical experience; bachelor’s in CS/Engineering or related field.
  • •Advanced SQL and strong proficiency in Python (or similar) for data processing, automation, and production engineering.
  • •Strong 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).
  • •Experience with batch and real-time architectures including streaming and change data capture (CDC), plus data quality controls and monitoring/observability for production support.
Experience:5+ yearsData engineeringData platforms
Education:Bachelor's
Skills:Technical judgmentProblem-solvingCommunicationStakeholder management
Tech Stack:SnowflakeAWSSQLPythonDbtAirflowETLELTCDCStreamingGitCI/CDData modeling

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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