Why This Role Stands Out
Advance your career as a Data Engineer with a competitive hourly rate and the flexibility of a hybrid work model in Cincinnati, OH. You'll have the opportunity to build and maintain impactful data pipelines, hone your skills in SQL, NoSQL, and Python, and contribute to innovative projects within a reputable organization. This role is ideal for a mid-senior professional with a strong foundation in data development and a passion for feature engineering and CI/CD processes.
Quick Overview
Salary
$60 - $70/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Cincinnati, OH, United States
Posted
8 hours ago
SQLETLMachine LearningScrumAgileBigQueryDatabricksGitGitHub ActionsGoogle CloudKafkaPython
Job Description
Location: Cincinnati, OH Salary: $60.00 USD Hourly - $70.00 USD Hourly Description: Our client is currently seeking a Data Engineer
Requirements:
Preferred Qualifications
Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies).
Experience with Google Cloud Platform services (or Databricks equivalent) such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow.
Experience with GitHub SaaS/GitHub Actions.
Experience understanding Databricks concepts.
Experience with PySpark and Spark development.
Experience with Service Oriented Architecture.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Requirements:
- Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree.
- 4+ years of professional Data Development experience.
- 4+ years of experience with SQL and NoSQL technologies.
- 3+ years of experience building and maintaining data pipelines and workflows.
- 2+ years of experience developing with Python.
- Experience in feature engineering for machine learning pipelines.
- Experience with CI/CD pipelines and processes.
- Experience with automated unit, integration, and performance testing.
- Experience with version control software such as Git.
- Full understanding of ETL and Data Warehousing concepts.
- Strong understanding of Agile principles (Scrum).
Preferred Qualifications
Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies).
Experience with Google Cloud Platform services (or Databricks equivalent) such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow.
Experience with GitHub SaaS/GitHub Actions.
Experience understanding Databricks concepts.
Experience with PySpark and Spark development.
Experience with Service Oriented Architecture.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
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