Senior Data Engineer

Posted Yesterday
New York, NY, USA
In-Office
185K-185K Annually
Senior level
Fintech • Payments • Financial Services
The Role
Design, build, and operate scalable batch and near-real-time data pipelines on AWS. Lead complex data engineering projects, translate business needs into data models and technical solutions, ensure data quality and reliability, and shape platform roadmaps. Integrate AI workflows such as LLM orchestration, embeddings, and vector search while collaborating with product and engineering teams across financial and analytical products.
Summary Generated by Built In

(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).

 

 

Skills Required

  • Bachelor's degree
  • At least 5 years of application development experience
  • At least 3 years of experience with big data technologies
  • Experience with dimensional data modeling and relational schema design for enterprise data warehouses and data lakes
  • At least 3 years of cloud computing experience with AWS, Microsoft Azure, or Google Cloud
  • Experience with Agile, SDLC, Git workflows, and CI/CD
  • Hands-on experience building and deploying data pipelines using AWS S3, EMR, Glue, Lambda, and Step Functions
  • 5+ years of application development experience including Python, SQL, Scala, or Java
  • 5+ years of experience with distributed data and computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark
  • 2+ years of experience with real-time data and streaming applications
  • 2+ years of experience with MLOps or related areas
  • 3+ years of data warehousing experience with Redshift or Snowflake
  • 2+ years of UNIX/Linux experience, including shell scripting
  • Experience integrating generative AI tools, LLM APIs, or vector databases into production pipelines
  • Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation/CDK
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The Company
HQ: New York, New York
169 Employees
Year Founded: 1972

What We Do

Trepp, founded in 1979, is the leading provider of data, insights, and technology solutions to the structured finance, commercial real estate, and banking markets. Trepp provides primary and secondary market participants with the solutions and analytics they need to increase operational efficiencies, information transparency, and investment performance. From its offices in New York, Dallas, and London, Trepp serves its clients with products and services to support trading, research, risk management, surveillance, and portfolio management. Trepp subsidiary, Commercial Real Estate Direct, is a daily news source covering the commercial real estate capital markets. Trepp is wholly owned by Daily Mail and General Trust (DMGT). Visit www.trepp.com for more information

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