Data Engineer II

Trepp’s Data Platform Team is responsible for the distributed systems and datalake architectures that power our entire product suite. As a member of the Data Platform Team, you will focus on building robust foundations and scalable frameworks that empower our developers and ensure platform stability. Beyond infrastructure, you will play a key role in building and maintaining reliable, high-quality data products that serve as the backbone for business-critical insights. We own the end-to-end data lifecycle—from ingestion frameworks to observability stacks—allowing Trepp to scale effectively in a data-driven market.

We are looking for a code-first Data Engineer to join our NYC office and help transform complex data requirements into elegant, automated solutions.

• Build & Enhance: Collaborate with senior engineers to build, maintain, and scale our core data ingestion and pipeline frameworks.

• Own the Architecture: Dive deep into our platform’s design to contribute meaningfully to technical discussions and high-impact project implementations.

• Ship Quality Code: Translate complex technical requirements into clean, testable, and scalable Python code and data workflows.

• Innovate & Research: Participate in "Proof of Concept" (PoC) initiatives to test-drive new open-source tools and cutting-edge methodologies.

• Stability First: Champion engineering best practices—like robust unit testing and thorough documentation—to keep the platform rock-solid as we grow.

• Education: Bachelor’s or Master's Degree in Computer Science, Data Engineering, or a related field.

• Experience: 1–3 years of experience in data or software engineering. We highly value relevant internships, research assistantships, or significant academic projects as part of this experience.

• Coding: Strong proficiency in Python (preferred), Java, or Scala, with an emphasis on writing clean, testable code

• Data: Solid understanding of SQL and relational database concepts and data modeling.

• Engineering: Familiarity with Git workflows, SDLC, and basic CI/CD principles.

• Mindset: Strong problem-solving skills and the ability to explain the "why" behind your technical decisions.

• Cloud: Familiarity with AWS services (S3, Lambda, EMR, or Glue).

• Big Data: Hands-on experience or academic exposure to Apache Spark.

• Modern Tech: Interest or experience with LLMs and AI-driven data workflows.

Salary Range:

• Base salary starting from $150k 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:

Trepp’s offices follows 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).