Senior Data Platform Engineer - Kafka, Iceberg, AWS

DeWinter Group; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

DeWinter Financial Services Partner in Boston is seeking a senior data engineer to design and evolve a next‑generation data platform. The role is hybrid and requires in‑office collaboration three days a week.

You will own large‑scale ingestion and streaming architectures, build robust data pipelines, and improve data quality across the organization while partnering with platform engineering, infrastructure, and security teams.

Qualifications

• 5+ years of experience in Data Engineering, Platform Engineering, or Data Infrastructure Engineering.
• Hands-on experience building and supporting production data pipelines.
• Experience with large-scale data platforms and high-volume datasets.

Responsibilities

• Design, build, and enhance scalable data pipelines supporting high-volume data ingestion and processing.
• Develop and maintain streaming and batch data solutions using modern data platform technologies.
• Build integrations that move data from source systems into the data ecosystem.
• Contribute to evolution of Kafka, Iceberg, and cloud-native data platform initiatives.
• Partner with platform engineering, infrastructure, security, and application teams to deliver reliable solutions.
• Improve data quality, observability, and operational reliability across the platform.
• Leverage AI-assisted development tools in the engineering workflow while maintaining code quality.
• Work with large-scale datasets, including multi-terabyte tables and high-volume event streams.

Skills

Data pipelines

Python

Kafka

AWS

Snowflake

Tools

Iceberg

Databricks

Kubernetes

Job description

DeWinter Financial Services Partner in Boston is seeking a senior data engineer to design and evolve a next‑generation data platform. The role is hybrid and requires in‑office collaboration three days a week.

You will own large‑scale ingestion and streaming architectures, build robust data pipelines, and improve data quality across the organization while partnering with platform engineering, infrastructure, and security teams.