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About the 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.
Requirements
- 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)
- 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
Skills
- Python
- SQL
- Scala
- Java
- MapReduce
- Hadoop
- Hive
- EMR
- Kafka
- Spark
- AWS core services (S3, EMR, Glue, Lambda, Step Functions)
- AWS cloud infrastructure
- Generative AI tooling
- LLM APIs (e.g., Amazon Bedrock, SageMaker)
- Vector databases
- Terraform
- AWS CloudFormation/CDK
- Agile
- SDLC
- Git workflows
- CI/CD
- Dimensional data modeling
- Relational schema design
- UNIX/Linux
- Shell scripting
Location
- NYC
Work Type
- Hybrid
Experience Level
- 5+ years of experience in application development
- 3+ years of experience in big data technologies
- 3+ years of experience with cloud computing
- 5+ years of experience in application development including Python, SQL, Scala, or Java
- 5+ years of experience with Distributed data/computing tools
- 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
- 2+ years of experience with UNIX/Linux
Education Level
- Bachelor’s Degree
Salary/Compensations
- Base salary starting from $185k plus bonus eligible
Benefits
- 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
- Four (4) weeks paid parental leave
- Wellness subsidy
- Pet insurance
- Laptop + WFH equipment
- Career progression plan
- Pre-tax commuter benefit with company subsidy
About the Company
- 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).
Equal Opportunity
- 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).