Trepp

Senior Data Engineer

Trepp New York, New York, United States · $185K/yr

Financial Services · 51-200 employees

4 h ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

Design, build, and maintain scalable batch and near real-time data pipelines to support data-driven products. Lead complex data engineering projects while integrating AI-driven workflows and ensuring data quality and reliability.

What they look for

Data engineering Python SQL AWS Data pipelines Big data Dimensional data modeling Cloud computing Spark Kafka Generative AI LLM orchestration Vector databases Agile CI/CD Infrastructure as code

Requirements

Requires a bachelor's degree and at least 5 years of experience in application development. Candidates must have at least 3 years of experience in big data technologies and cloud computing platforms like AWS.

Benefits

Medical insurance Dental insurance Vision insurance 401k with employer match Life insurance Long term disability Short term disability Flexible paid time off Paid primary caregiver leave Paid parental leave Wellness subsidy Pet insurance Pre-tax commuter benefit

Full description

(This role is based in Trepp's NYC office and follows a hybrid work schedule)

The Data Platform Team powers all products at Trepp by using distributed data technologies built on our data lake. The Pipeline Team plays a crucial role in designing and maintaining scalable, performant data pipelines that support all product lines at Trepp.

About this role:

As a member of the Data Platform Pipeline Team, you’ll be using open-source and cloud technologies to build, optimize, and maintain robust data pipelines. You’ll collaborate with multiple product teams and engineering teams to solve complex problems in our financial and analytical products for CRE and Banking.

Responsibilities:

  • Design, build, and maintain scalable batch and near real-time data pipelines that power Trepp’s data-driven products.
  • Lead complex data engineering projects from planning through delivery, while managing stakeholder expectations and timelines.
  • Translate high-level business and product requirements into data models, technical designs, and production-ready implementations.
  • Embed data quality, validation, monitoring, and reliability checks into pipelines to ensure trusted production data.
  • Develop deep subject matter expertise in internal frameworks and use that expertise to shape roadmaps and prioritize initiatives.
  • Break down ambiguous ideas into actionable tasks, project plans, and clear execution milestones.
  • Evaluate technical options through research, clearly articulate tradeoffs, and recommend solutions grounded in business and engineering impact.
  • Champion data engineering best practices that improve scalability, maintainability, performance, and platform innovation.
  • Design and integrate AI-driven workflows, including LLM orchestration, embedding generation, and vector search pipelines, into core data processing systems.
  • Architect and operate reliable data ingestion and transformation pipelines using native AWS cloud infrastructure.

Basic Qualifications:

  • Bachelor’s Degree
  • At least 5 years of experience in application development
  • At least 3 years of experience in big data technologies
  • Demonstrated experience in dimensional data modeling and relational schema design for enterprise data warehouses and data lakes
  • At least 3 years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Experience with Agile and SDLC, Git workflows, and CI/CD
  • Hands-on experience building and deploying data pipelines on AWS core services (S3, EMR, Glue, Lambda, Step Functions)

Preferred Qualifications:

  • 5 + years of experience in application development including Python, SQL, Scala, or Java
  • 5+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark)
  • 2+ years of experience working on real-time data and streaming applications
  • 2+ years of experience working on ML ops or related
  • 3+ years of data warehousing experience (Redshift or Snowflake)
  • 2+ years of experience with UNIX/Linux including basic commands and shell scripting
  • Experience integrating generative AI tooling, LLM APIs (e.g., Amazon Bedrock, SageMaker), or vector databases into production pipelines
  • Experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation/CDK

Why Join Us:

  • Work on a platform that powers data-driven products across Trepp’s CRE and Banking businesses.
  • Solve meaningful engineering challenges using modern cloud, big data, and AI technologies at scale.
  • Join a collaborative team where you can influence architecture, improve engineering standards, and help shape the future roadmap of the data platform.

Salary Range:

  • Base salary starting from $185k 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
  • Wellness subsidy
  • Pet insurance
  • Laptop ​+ WFH equipment​
  • Career progression plan
  • Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)
  • Fun company events and volunteering opportunities

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Workplace Policy:

NYC, PA, 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.

About Trepp:

Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT).

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