Data Integration Engineer- REMOTE

Insight Global

Edina, MN, United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$115,000.0 - $130,000.0

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Application Integration Architecture Microsoft Azure Information Engineering Data Integration Data Transformation Distributed Systems Python (Programming Language) Node.Js Salesforce.Com SQL Databases

+14 more

Data Streaming Snowflake Change Data Capture Backend Event Driven Architecture HR Software Kubernetes Real Time Data Apache Kafka Data Delivery Data Pipelines Docker Confluent Microservices

Job description

A growing company is looking for two Remote Integration Engineers to join their team!

We are seeking skilled Integration Engineers to build and maintain real-time data pipelines between Salesforce, Confluent Kafka, and Snowflake. This role focuses on designing microservices, implementing pub/sub messaging, and enabling real-time data flow across platforms. You’ll work closely with data engineers and application teams to ensure seamless integration and reliable data delivery.

The Integration Engineer will be responsible for extracting data from Salesforce, transforming it using backend logic and SQL, and publishing it to Kafka topics for downstream system consumption. You’ll also monitor Kafka connectors, troubleshoot failures, and implement Change Data Capture (CDC) workflows while ensuring strong data flow into Snowflake environments.

Requirements

Strong experience with Confluent Kafka and pub/sub messaging architecture, including topics, producers/consumers, Schema Registry, and Kafka Connect.

-Proficiency in microservices design and distributed systems.

-Experience integrating data from Salesforce or similar CRM platforms.

-Strong experience with Snowflake for data pipelines, querying, and transformations.

-Solid understanding of Change Data Capture (CDC) and real-time data sync.

-Ability to write and optimize SQL queries for backend data transformation.

-Familiarity with Kafka topics, connectors, and troubleshooting lag or failures.

-Experience developing and maintaining APIs using Java (preferred) or Python/Node.

-Experience working in data engineering or application integration environments.

-Proven ability to collaborate across teams and explain integration processes clearly. -Familiarity with event-driven architecture and service-oriented design.

-Exposure to HR systems or billing platforms.

-Knowledge of containerized services (e.g., Docker, Kubernetes).

-Experience with CI/CD pipelines (Azure DevOps or similar).