2 дня назад
Lead Data Engineer (Fintech)
174 000 - 224 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Fintech): Designing and operating production data pipelines and core data platform capabilities for a financial app with an accent on reliability, scalability, data quality, and cost efficiency. Focus on improving Snowflake, dbt, and Airflow workloads, integrating APIs and event sources, and leading architecture decisions across engineering teams.
Location: Remote within the United States, except Hawaii; virtual-first work with occasional all-company in-person events once or twice a year.
Salary: $174K–$224K annually, plus equity.
Company
is a financial technology company building affordable, transparent, and user-centric products for Americans underserved by traditional financial institutions.
What you will do
- Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities.
- Build integrations across APIs, files, change data capture, event sources, cloud services, and internal systems.
- Establish patterns for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery.
- Improve Snowflake, dbt, and Airflow/Cloud Composer workloads for reliability, scalability, performance, and cost.
- Lead technical design reviews and guide architecture and delivery trade-offs.
- Mentor engineers and strengthen standards, documentation, and durable engineering practices.
Requirements
- 5+ years of software or data engineering experience with significant ownership of production data systems.
- Strong Python and SQL skills, plus software engineering fundamentals including testing, code review, version control, and CI/CD.
- Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift.
- Experience with Airflow/Cloud Composer, dbt, or comparable orchestration and transformation technologies.
- Strong understanding of data modeling, incremental processing, data quality, observability, and production recovery.
- Architecture judgment, technical leadership, mentorship, and the ability to communicate technical and business trade-offs clearly.
Nice to have
- Fintech or other high-stakes or regulated data experience.
- CDC, streaming, event-driven, or high-volume integration experience.
- Experience with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage.
- Experience with metadata, lineage, semantic layers, governance, privacy, or AI-ready data platforms.
Culture & Benefits
- Virtual-first work culture with flexible hours and a home office stipend.
- Medical, dental, and vision insurance.
- Paid parental and caregiver leave.
- 401(k) savings plan with matching contributions.
- Flexible PTO, company holidays, financial wellness support, and financial advisor access.
- In-person company events once or twice a year and virtual team events.
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