Trepp, Inc.

Data Engineer II

Trepp, Inc. New York City Metropolitan Area

Direct message the job poster from Trepp, Inc.

Niki Lee

Niki Lee

(This position is based in Trepp's NYC office which operates in a hybrid work schedule)

The Data Operations Group at Trepp is responsible for creating and developing our suite of software products responsible for our core applications. Being a member of the Data Operations Group allows you the flexibility to learn and hone your skills on various tools and technologies. You will have the opportunity of working with and creating services and pipelines used by teams including Structured Finance Modelers, Research, and Data Platform.


Our products focus on data and analytics in structured finance (CMBS), collateralized loan obligations (CLO), commercial real estate (CRE), and banking & lending. This team works closely with our Product Groups to always refine & improve our product and feature sets, data capabilities and delivery, along with creating new Product Workflows.


About this role:

As a Data Engineer-II, you are responsible for building quality data products for Trepp’s data organization. The position requires technical skills and must be able to work effectively with a group of high performing individuals. The role involves modelling best practices and provides optimal ways to build reliable data pipelines with low latency. Address the needs of stakeholders by utilizing expertise in data design, data architecture, and data modeling.


Responsibilities:

  • Demonstrate data engineering expertise in building reliable data products
  • Ability to quickly learn, understand, and work with new emerging technologies, and methodologies
  • A drive to work on financial data systems & pipelines including experience working with large datasets
  • Work effectively with other engineers, product managers in a collaborative environment
  • Involve in identifying data quality issues and apply techniques to improve the same
  • Identify critical infrastructure dependency/updates and work to plan those tasks
  • Understand the requirements of stakeholders to build optimal solutions for various data challenges


Qualifications:

  • Bachelor's or Master's degree in computer science or in a related field
  • 3+ years of experience building backend software systems
  • 2+ years of experience with Python or Java, or Scala
  • 2+ years of experience with SQL
  • Experience with cloud services like AWS and/or GCP
  • Experience building data pipelines using Spark/Airflow
  • Experience with Agile and SDLC, Git workflows, and CI/CD
  • Strong understanding of data engineering concepts


Preferred Skills:

  • Analyze, design, and implement interactive RESTful services and APIs
  • Exposure to pub-sub messaging systems like Kafka
  • Exposure to IaaS like Terraform
  • Understanding of serverless architectures, and containers
  • Experience working in Financial Services or related industry.


Salary Range:

  • Base salary range: Starting from $130k plus bonus eligible


Benefits and Perks

  • Base + target bonus compensation structure
  • Medical, Dental, Vision insurance
  • 401K (with employer match)
  • Life insurance, long term disability, short term disability all covered by the company
  • Flexible paid time off (PTO)
  • Sixteen (16) weeks paid primary caregiver leave(Biological, adoptive, and foster parents are all eligible)
  • Four (4) weeks paid parental leave
  • Pet insurance
  • Laptop + WFH equipment
  • Career progression plan
  • Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)
  • Involvement in Diversity and Inclusion programs
  • Fun company events and volunteering opportunities


Workplace Policy:

NYC, Dallas, and London office-based positions: Trepp’s offices follow a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday.

  • Seniority level

    Associate
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Information Services and Financial Services

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