Senior Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 3+ years of professional data engineering experience., Proficiency in Python and SQL., Experience with Spark and distributed computing., Knowledge of data pipeline tools like Airflow, Databricks, or Glue..

Key responsibilities:

  • Design, build, and maintain scalable data and AI platforms.
  • Develop and optimize ETL data pipelines for large data volumes.
  • Implement data monitoring, validation, and governance practices.
  • Support adoption of data platform tools and participate in agile ceremonies.

Curinos logo
Curinos Financial Services SME https://curinos.com/
201 - 500 Employees
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Job description

Company Description

Curinos empowers financial institutions to make better, faster and more profitable decisions through industryleading proprietary data, technologies and insights. With decadeslong expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their goto market decisions in an increasingly competitive market.

Curinos operates in a hybridremote model, and this position is fully remote in the United States or hybrid in the Greater New York or Boston metropolitan areas.

Job Description

Curinos is hiring a Senior Data Engineer to join our Data Platform team. This team owns the shared data ecosystem upon which our B2B SaaS applications are built. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the platforms to launch new products and build new genAI applications. As a company that specializes in datadriven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings.

Responsibilities

Youll work with product and engineering teams to:

  • Design, build, and maintain scalable and reliable data and AI platforms, including ingestion, storage, validation, governance, monitoring, and ELT patterns.
  • Implement data monitoring and pipeline observability.
  • Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work.
  • Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
  • Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance).
  • Proactively identify and implement new technologies and tools.
  • Conduct code reviews and provide feedback.
  • Support adoption of data platform tools and frameworks across teams.
  • Participate in agile ceremonies.
  • Stay current with emerging technologies and industry best practices.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Willingness To Learn
  • Communication
  • Self-Discipline

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