Data Engineer - ML platform

Flexton Inc.; Cincinnati (OH); On-site; USD 100,000 - 140,000; Full time

Job summary

Flexton Inc. seeks a data engineering professional to design, build, and maintain scalable data pipelines across diverse sources and destinations, using Kafka, Databricks, and related toolsets.

You will drive digital innovation, modernizing core data assets with SQL, NoSQL, cloud-based and real-time streaming platforms, and develop feature engineering pipelines for ML workflows using Vertex AI and BigQuery ML.

Qualifications

• Experience designing and maintaining scalable data pipelines.
• Strong knowledge of streaming platforms and data integration.
• Familiarity with cloud-based architectures and big data tooling.

Responsibilities

• Build and maintain scalable data pipelines across diverse sources/destinations.
• Drive digital innovation to modernize core data assets.
• Develop feature engineering pipelines for ML workflows using Vertex AI/BigQuery ML.

Skills

Data pipelines

Kafka

Databricks

SQL

NoSQL

Python

Vertex AI

BigQuery ML

Tools

Kafka

Databricks

Job description

Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.

Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.

Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.