Data Engineer

Compunnel, Inc.; Orlando (FL); On-site; USD 85,000 - 110,000; Full time

Job summary

A leading tech company is seeking a skilled Data Engineer to design and maintain scalable data solutions. This role involves building secure data pipelines, optimizing workflows, and collaborating with cross-functional teams to deliver impactful analytics. The ideal candidate has a Bachelor's in Computer Science, strong SQL and Python skills, and 3+ years of data engineering experience. Join us in enhancing data-driven decision-making across the organization.

Qualifications

• 3+ years of experience in data engineering or IT.
• Strong SQL skills and experience with relational databases.
• Proficiency in Python, Java/Scala, and cloud platforms (AWS preferred).

Responsibilities

• Design, build, and maintain secure, scalable data pipelines.
• Develop and support cloud and on-premise data infrastructure.
• Collaborate with business stakeholders to translate requirements.

Skills

Data pipelines design

SQL

Python

Problem-solving

Communication

Education

Bachelor’s degree in Computer & Information Science

Master’s preferred

Tools

AWS

Apache Spark

Hadoop

Snowflake

ETL tools

Job description

We are seeking a skilled and motivated Data Engineer to design and maintain scalable data solutions that enable data-driven decision-making across the organization.

This role involves building secure data pipelines, optimizing workflows, and collaborating with cross-functional teams to deliver impactful analytics.

Key Responsibilities

• Design, build, and maintain secure, scalable data pipelines and engineering solutions.
• Develop and support cloud and on-premise data infrastructure, including data warehouses and APIs.
• Collaborate with business stakeholders to translate requirements into technical specifications.
• Optimize data workflows and automate repetitive tasks.
• Perform root cause analysis and identify opportunities for process improvements.
• Support analytics initiatives by integrating new data sources and maintaining data quality.

Required Qualifications

• Bachelor’s degree in Computer & Information Science (Master’s preferred).
• 3+ years of experience in data engineering or IT.
• Strong SQL skills and experience with relational databases.
• Proficiency in Python, Java/Scala, and cloud platforms (AWS preferred).
• Experience with Apache Spark, Hadoop, Snowflake, and ETL tools (e.g., Informatica, Airflow, Kafka).
• Familiarity with .NET technologies (C#, VB.Net) and web application development.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.