Senior Data Engineer — Hybrid, Kafka & Iceberg Platform

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

Job summary

DeWinter Financial Services Partner in Boston, MA is seeking a senior data engineer to design, build, and evolve a next-generation data platform. This hands-on role focuses on scalable data pipelines that move data from operational systems into a centralized lakehouse built on Kafka, Iceberg, AWS, and Snowflake.

You will work on large-scale ingestion, streaming architectures, data quality, and platform capabilities, collaborating with platform engineering, infrastructure, security, and

Qualifications

• 5+ years of data engineering or related field.
• Hands-on experience building production data pipelines.
• Experience with Kafka and cloud data platforms (AWS).

Responsibilities

• Design, build, and scale data pipelines for high-volume ingestion.
• Develop streaming and batch data solutions.
• Move data from source systems (SQL Server, PostgreSQL, DynamoDB) into central data platform.
• Contribute to Kafka, Iceberg, and cloud platform initiatives.
• Collaborate with platform engineering, infra, security, and apps teams.
• Improve data quality, observability, and reliability across the platform.
• Leverage AI-assisted development tools in the workflow.
• Work with multi-terabyte tables and large event streams.

Skills

Data pipelines

Kafka

Python

AWS

Iceberg

Snowflake

Databricks

Production data pipelines

Tools

SQL Server

PostgreSQL

DynamoDB

Job description

DeWinter Financial Services Partner in Boston, MA is seeking a senior data engineer to design, build, and evolve a next-generation data platform. This hands-on role focuses on scalable data pipelines that move data from operational systems into a centralized lakehouse built on Kafka, Iceberg, AWS, and Snowflake.

You will work on large-scale ingestion, streaming architectures, data quality, and platform capabilities, collaborating with platform engineering, infrastructure, security, and