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3 дня назад

Data Services Engineer SR (Fintech)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Services Engineer SR (Python/Cloud): Designing and optimizing scalable data pipelines and backend services for a mortgage servicing platform with an accent on ETL/ELT processes and cloud-based data architectures. Focus on building production-quality Python services, tuning high-volume databases, and integrating complex financial data sources.

Location: Remote (Must be based in the U.S.)

Company

A leading mortgage servicing SaaS company transforming the industry through modern fintech solutions.

What you will do

  • Design and maintain scalable data pipelines and services using Python and modern engineering frameworks.
  • Develop and optimize ETL/ELT processes to load data into cloud-based platforms.
  • Architect and implement data solutions on AWS, Azure, or GCP utilizing managed services.
  • Design and tune relational and NoSQL databases to support high-volume, high-availability workloads.
  • Provide technical leadership and mentorship to junior engineers in data engineering best practices.
  • Collaborate with Product Management and Software Engineering to implement data-driven solutions.

Requirements

  • 4+ years of experience in a related field or an advanced degree (Masters or higher).
  • Strong proficiency in Python, including OOP, modular development, and production-quality coding.
  • Experience developing Python-based backend services with FastAPI, Flask, or Django.
  • Hands-on experience with a major cloud provider (AWS, Azure, or GCP).
  • Solid experience with relational and NoSQL databases, including schema design and query optimization.
  • Experience in Mortgage Servicing or Financial Services is required.

Nice to have

  • Experience with big-data technologies such as Databricks, Spark, or Dataproc.
  • Familiarity with data warehouse platforms like Snowflake, Redshift, or BigQuery.
  • Knowledge of Java, R, Ruby, Scala, or C++.
  • Experience with CI/CD, Docker, Kubernetes, and infrastructure-as-code.
  • Knowledge of mortgage servicer technology ecosystems.

Culture & Benefits

  • Remote and hybrid workplace options.
  • Comprehensive health benefits and family planning services starting Day 1.
  • Unlimited flexible time off and paid family leave.
  • 401(k) matching and tuition reimbursement.
  • Focus Time Fridays and both in-person and virtual social experiences.

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