Hybrid Data Engineer: AI Pipelines & Analytics

GEI Consultants; United States; Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Market-competitive compensation

Comprehensive benefits program

Hybrid work schedules

Professional development programs

Paid time-off

Job summary

A leading engineering firm in the United States is seeking a Data Engineer to design and maintain data pipelines for AI solutions while managing integrations across various data sources. The ideal candidate has over 4 years of data engineering experience, proficiency in Python and SQL, and familiarity with Azure services. The role offers competitive market compensation, comprehensive benefits, and opportunities for professional development, making it an attractive opportunity for qualified candidates.

Qualifications

• 4+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Experience with Azure services including Azure Data Factory and Azure SQL.
• Familiarity with Azure AI Search and Cosmos DB.
• Knowledge of data modeling and schema design.

Responsibilities

• Design and maintain data pipelines for AI solutions.
• Develop integrations using APIs and event-driven architectures.
• Implement data quality controls to ensure accuracy.
• Collaborate with AI engineers on data contracts.

Skills

Data pipeline development

Python

SQL

Azure data services

ETL/ELT pipeline management

Data governance

Infrastructure-as-code

Tools

Azure Data Factory

Databricks

Terraform

Job description

A leading engineering firm in the United States is seeking a Data Engineer to design and maintain data pipelines for AI solutions while managing integrations across various data sources. The ideal candidate has over 4 years of data engineering experience, proficiency in Python and SQL, and familiarity with Azure services. The role offers competitive market compensation, comprehensive benefits, and opportunities for professional development, making it an attractive opportunity for qualified candidates.