Mid Data Engineer — AI-Driven Data Pipelines

Compunnel, Inc.; Irving (TX); On-site; USD 95,000 - 120,000; Full time

Job summary

A leading tech solutions provider is seeking a Mid Data Engineer to develop advanced data infrastructure and engineering solutions. This role demands a Bachelor’s degree in a related field and 3-5 years of engineering experience. Key responsibilities include optimizing data workflows and supporting analytics efforts, requiring proficiency in Python, SQL, Spark/PySpark, and cloud platforms like AWS or Azure. The position involves collaboration across teams and contributions to data engineering best practices. Join us to enhance customer experiences through innovative data solutions.

Qualifications

• 3–5 years of relevant data engineering experience.
• Strong proficiency in Python, SQL, Spark/PySpark.
• Experience with cloud platforms such as AWS or Azure.

Responsibilities

• Design and implement scalable data pipelines.
• Optimize existing data workflows.
• Collaborate with senior data engineers for skill development.
• Support analytics efforts by maintaining data infrastructure.
• Translate business needs into data engineering solutions.

Skills

Python

SQL

Spark/PySpark

ETL processes

Data modeling

Cloud platforms (AWS, Azure)

Collaboration

Data visualization (Tableau, Power BI)

Education

Bachelor’s degree in Computer Science or related fields

Tools

Airflow

Databricks

Job description

A leading tech solutions provider is seeking a Mid Data Engineer to develop advanced data infrastructure and engineering solutions. This role demands a Bachelor’s degree in a related field and 3-5 years of engineering experience. Key responsibilities include optimizing data workflows and supporting analytics efforts, requiring proficiency in Python, SQL, Spark/PySpark, and cloud platforms like AWS or Azure. The position involves collaboration across teams and contributions to data engineering best practices. Join us to enhance customer experiences through innovative data solutions.