Senior Data Platform Engineer: Real-Time Pipelines & AI

Trepp

New York (NY)

Hybrid

USD 167,000 - 204,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental, Vision
401K with employer match
Life and disability insurance
Flexible PTO
Parental leave
Wellness subsidy
Pet insurance
Laptop + WFH equipment
Career progression
Pre-tax commuter benefit (NYC)
Company events

Job summary

Trepp, an NYC-based fintech data leader, seeks a Data Platform Pipeline Engineer to design and maintain scalable data pipelines powering CRE and banking analytics.

You will collaborate with multiple product and engineering teams to deliver robust pipelines, optimize performance, and embed data quality controls while advancing AI-driven workflows and LLM orchestration within our AWS cloud environment.

Qualifications

  • Bachelor’s Degree required.
  • 5+ years of application development experience.
  • 3+ years in big data technologies.
  • Dimensional data modeling and enterprise data warehouses/lakes experience.
  • 3+ years of cloud computing (AWS, Azure, Google Cloud).
  • Experience with Agile, SDLC, Git workflows, and CI/CD.
  • Hands-on data pipelines on AWS core services (S3, EMR, Glue, Lambda, Step Functions).

Responsibilities

  • Design, build, and maintain scalable batch and near real-time data pipelines powering Trepp’s data-driven products.
  • Lead complex data engineering projects from planning through delivery with stakeholders.
  • Translate business requirements into data models, designs, and production-ready implementations.
  • Embed data quality, validation, monitoring, and reliability checks into pipelines.
  • Develop domain expertise to shape roadmaps and prioritize initiatives.
  • Break down ideas into actionable tasks, plans, and milestones.
  • Evaluate options, justify tradeoffs, and propose business-impacting solutions.
  • Champion best practices for scalability, maintainability, and performance.
  • Design and integrate AI-driven workflows including LLM orchestration and vector search pipelines.

Skills

Python
SQL
Scala
Java
AWS
Big data technologies
Distributed data processing

Education

Bachelor's Degree

Tools

MapReduce
Hadoop
Hive
EMR
Kafka
Spark
Terraform
CloudFormation
CDK
S3
Lambda

Job description

Trepp, an NYC-based fintech data leader, seeks a Data Platform Pipeline Engineer to design and maintain scalable data pipelines powering CRE and banking analytics.

You will collaborate with multiple product and engineering teams to deliver robust pipelines, optimize performance, and embed data quality controls while advancing AI-driven workflows and LLM orchestration within our AWS cloud environment.

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