Data Engineer Level 2
Artificial Intelligence
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Native
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Database
Databases
Databricks
ETL
Google Cloud
Google Cloud Bigquery
Google Cloud Platform
Informatica
Machine Learning
Programming
Programming Language
Programming Languages
Spark
SQL
Vertex Ai
Job Description
Experis is hiring a Senior Data Engineer Level 2 for an onsite role in Cincinnati, OH 45202. This position centers on building reliable, scalable data and ML-ready pipelines across Azure and GCP, using modern engineering practices and cloud-native tools. The role runs on a W2 basis at $70-$75/hr for 6 months, with EST/CST working availability.
What you’ll do
- Design, build, and maintain scalable data pipelines for ingestion, transformation, and integration using Kafka, Databricks, and related technologies.
- Develop and manage feature engineering pipelines to support machine learning workflows using Vertex AI, BigQuery ML, and Python.
- Work across SQL and NoSQL systems, including cloud-based and real-time streaming data platforms.
- Support modernization and innovation across data platforms and engineering processes.
- Create and review automated unit, integration, and performance testing frameworks to ensure data quality and reliability.
- Optimize data workflows for performance, scalability, and cost efficiency across large datasets.
- Own systems and processes across the full SDLC, from design through deployment and support.
- Collaborate with cross-functional teams to deliver internal and external-facing data solutions.
- Create and review architecture diagrams, interface specifications, and technical documentation.
What you bring
- Strong Python development experience.
- Hands-on experience with both Google Cloud Platform (GCP) and Azure.
- Strong experience with Vertex AI and feature engineering.
- Experience with Databricks, Kafka, and BigQuery / BigQuery ML.
- Solid understanding of data pipelines, ETL/ELT, streaming, and distributed data processing.
- Experience implementing automated testing for data applications and pipelines, including unit, integration, and performance testing.
- Strong SQL skills and experience working with large-scale datasets.
- Excellent problem-solving, communication, and cross-functional collaboration skills.
Location and schedule
- Onsite in Cincinnati, OH 45202
- EST/CST only
- Cincinnati or Chicago preferred
Pay: $70-$75/hr on W2
Duration: 6 Months
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