Senior Data Engineering Roles

Senior Data Engineering Roles

Location: New York City (Hybrid or Flexible)

We work with a range of NYC-based organizations across fintech, asset management, SaaS, and data-driven companies that rely heavily on analytics, reporting, and large-scale data platforms to support core business decisions.

This posting reflects the types of senior data engineering roles we consistently see across these teams, rather than a single isolated opening. These environments tend to place a premium on data quality, scalability, and reliability, with data engineers playing a critical role in how information is collected, transformed, and used across the organization.

What These Roles Typically Involve

Across these teams, senior data engineers are often responsible for:

• Designing, building, and maintaining data pipelines that support analytics, reporting, and downstream applications
• Working closely with analytics, product, and engineering teams to model and structure data for reliable use
• Improving data quality, performance, and scalability across large datasets
• Building and maintaining batch and streaming workflows where applicable
• Contributing to architectural decisions around data platforms, tooling, and storage

Experience That Tends to Translate Well

Professionals who tend to align well with these roles often bring:

• Strong experience with SQL and data-focused programming languages such as Python or Scala
• Experience building and maintaining data pipelines in cloud-based environments
• Familiarity with modern data stacks including warehouses, transformation tools, and orchestration frameworks
• Comfort working with large, complex datasets in production environments
• A pragmatic approach to data engineering focused on reliability, clarity, and long-term maintainability

Backgrounds We Commonly See

Many engineers placed into these types of roles come from:

• Fintech, financial services, SaaS, or other data-heavy organizations
• Analytics or platform teams supporting business-critical reporting and decision systems
• Environments where data engineering is tightly integrated with product and engineering functions
• Teams where senior data engineers have ownership over pipelines rather than just executing tickets

What Differentiates These Environments

Across these organizations, data engineering sits close to the core of the business. Engineers are expected to own critical pipelines, understand how data is consumed, and help shape how platforms evolve as data volume and complexity increase.

Compensation

Compensation varies by organization and scope, but typically reflects senior-level responsibility and the importance of data to the business.

How to Start a Conversation

If this type of senior data engineering work aligns with your background or where you want to take your career next, you are welcome to apply or reach out directly to start a conversation. We are happy to share more context about specific teams and environments during an initial discussion.