Data Engineer: Build Scalable Pipelines for Analytics & ML

SMX Services & Consulting, Inc.; Baton Rouge (LA); On-site; USD 55,104 - 63,149; Full time

Job summary

A leading consulting firm is seeking an experienced data engineer to build reliable data pipelines and models in a secure environment. This position requires 3-5 years of experience, proficiency in SQL and Python, and knowledge of cloud data services. Responsibilities include designing ETL/ELT pipelines, ensuring data quality, and automating workflows. Ideal candidates will also have experience with Airflow and dbt. This is an on-site position with competitive compensation ranging from $40.00 to $45.84 per hour.

Qualifications

• 3-5 years of data engineering experience in production environments.
• Strong SQL and scripting language expertise, preferably in Python.
• Hands-on with Airflow and dbt, and familiarity with cloud data services.

Responsibilities

• Design, implement, and operate ETL/ELT pipelines.
• Model data for analytics and application consumption.
• Automate CI/CD for data workflows and implement monitoring.

Skills

SQL

Python

Data pipeline design

ETL/ELT processes

Cloud services

Education

Bachelor’s in Computer Science or related field

Tools

Airflow

dbt

Spark

Kafka

Job description

A leading consulting firm is seeking an experienced data engineer to build reliable data pipelines and models in a secure environment. This position requires 3-5 years of experience, proficiency in SQL and Python, and knowledge of cloud data services. Responsibilities include designing ETL/ELT pipelines, ensuring data quality, and automating workflows. Ideal candidates will also have experience with Airflow and dbt. This is an on-site position with competitive compensation ranging from $40.00 to $45.84 per hour.