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Experis

Data Engineer Level 2

Experis
Cincinnati, OH $70 - $75/hr Full time Posted 2h ago
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 Engineer ETL Google Cloud Google Cloud Bigquery Google Cloud Platform Informatica Machine Learning Programming Programming Language Programming Languages Spark SQL Vertex Ai
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Job Description

Experis is hiring a Senior Data Engineer to design, build, and optimize scalable data solutions across Azure and GCP cloud environments. This onsite role in Cincinnati supports modern data engineering efforts, with a focus on Python, Vertex AI, feature engineering, and production-grade pipeline reliability.

Role Focus

You will work across the full SDLC, taking ownership from design through deployment and support. The work includes building and improving data pipelines for ingestion, transformation, and integration, as well as enabling machine learning feature engineering workflows that connect to Vertex AI and BigQuery ML.

Responsibilities

  • Design, build, and maintain scalable data pipelines for ingestion, transformation, and integration using Kafka, Databricks, and related technologies.
  • Develop and manage feature engineering pipelines for ML workflows using Vertex AI, BigQuery ML, and Python.
  • Work with SQL, NoSQL, cloud-based systems, and real-time streaming data platforms.
  • Drive modernization and innovation across data platforms and engineering processes.
  • Develop automated unit, integration, and performance testing frameworks to support data quality and reliability.
  • Optimize data workflows for performance, scalability, and cost efficiency across large datasets.
  • Own systems and processes throughout 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.

Requirements

  • Strong Python development experience.
  • Hands-on experience with Google Cloud Platform (GCP) and Azure.
  • Strong experience with Vertex AI and feature engineering.
  • Experience with Databricks, Kafka, and BigQuery / BigQuery ML.
  • Strong understanding of data pipelines, ETL/ELT, streaming, and distributed data processing.
  • Experience implementing automated testing for data applications and pipelines.
  • Strong SQL and experience working with large-scale datasets.
  • Excellent problem-solving, communication, and cross-functional collaboration skills.

Technologies

  • Python, Vertex AI, BigQuery ML, Databricks, Kafka, BigQuery, SQL, NoSQL
  • Azure, Google Cloud Platform (GCP)
  • ETL/ELT, real-time streaming, distributed data processing
  • Unit testing, integration testing, performance testing
  • SDLC

Location: Cincinnati, OH 45202 (onsite). EST/CST only, with Cincinnati or Chicago preferred. Pay: $70-$75/hr on W2. Duration: 6 months.

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