Responsibilities
Design, build, and maintain scalable data pipelines (ETL/ELT) that ingest, clean, transform, and load data from multiple sources into the data warehouse/lake.
Develop and maintain data models, schemas, and transformations (e.g., with dbt) that produce reliable, well-documented, analytics-ready datasets.
Ensure data quality, integrity, and governance: implement validation, testing, monitoring, alerting, and documentation across the data platform.
Optimize storage, query performance, and pipeline cost/efficiency, and troubleshoot failures with robust error handling and retries.
Partner with data analysts, data scientists, and business stakeholders to understand their needs and deliver the datasets and infrastructure they require.
Apply security and compliance best practices to data handling (access controls, encryption, PII protection), coordinating with Security/IT as needed.
Requeriments
Software / tools: Strong SQL and proficiency in Python for data engineering; hands-on experience with ETL/ELT and orchestration tools (e.g., Airflow, dbt), cloud data warehouses (BigQuery, Snowflake, or Redshift), and a major cloud (GCP/AWS/Azure). Version control (Git).
Specific knowledge: Data modeling and warehousing (dimensional modeling, star schemas), batch and streaming patterns, data quality and governance, and performance optimization. Experience in fintech or high-volume transactional environments is valued.
Expected results: Reliable, well-documented, high-quality data pipelines and datasets with strong uptime; timely, accurate data available to downstream teams; and efficient, cost-effective data infrastructure.
Skills: Strong analytical and problem-solving skills, attention to detail, ownership and reliability, clear communication, and collaboration across technical and business teams.
Desirable (not essential): Experience with streaming (Kafka / Pub/Sub), infrastructure-as-code, data catalog/observability tools, and system integrations; intermediate/advanced English (Portuguese a plus); and prior experience in a similar Data Engineer role.
Benefits
- 100% Company-funded Health for employees and immediate family members
- Life Insurance
- Indefinite-term contract
- 20 days of vacations, unlimited sick leave
- $2,000 USD annual Co-working Travel perk
- $2,000 USD annual Professional Development perk
- Phone finance, headphone benefit, home office equipment allowance and wellness perks
- Catered lunches
Skills Required
- Strong SQL skills
- Proficiency in Python for data engineering
- Hands-on experience with ETL/ELT and orchestration tools such as Airflow or dbt
- Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Experience with a major cloud platform such as GCP, AWS, or Azure
- Version control experience with Git
- Knowledge of data modeling and warehousing, including dimensional modeling and star schemas
- Knowledge of batch and streaming data patterns
- Knowledge of data quality and governance
- Knowledge of performance optimization
- Strong analytical and problem-solving skills
- Attention to detail, ownership, reliability, communication, and collaboration skills
- Experience with streaming technologies such as Kafka or Pub/Sub
- Experience with infrastructure-as-code
- Experience with data catalog or observability tools
- Experience with system integrations
- Intermediate or advanced English
- Portuguese language skills
- Prior experience in a similar Data Engineer role
- Experience in fintech or high-volume transactional environments
PayJoy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PayJoy and has not been reviewed or approved by PayJoy.
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Fair & Transparent Compensation — Pay is considered market‑aligned for senior U.S. technical roles, and public salary bands help candidates benchmark and align expectations. Feedback suggests this transparency supports confidence that offers are competitive for role and location.
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Healthcare Strength — Company‑paid basic medical, dental, vision, life, and disability coverage is emphasized as a standout element versus many startups. Feedback suggests this reduces out‑of‑pocket burden and strengthens the core benefits foundation.
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Parental & Family Support — Paid parental leave and flexible hours are highlighted alongside dedicated time off. Feedback suggests these family‑oriented policies enhance the perceived completeness of the package.
PayJoy Insights
What We Do
PayJoy's mission is to deliver access to credit to the next billion people in emerging markets worldwide. Our unique mobile security technology gives customers the ability to afford their first smartphone on credit, using the phone itself as collateral, and then provides further access to credit to help weather life's unexpected financial surprises and climb the ladder of economic well-being. Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, Colombia, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to the next billion emerging consumers.
