Data engineer

Location: Hybrid. 2-3 days onsite Orlando, FL


We're seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the organization. This role is ideal for someone passionate about building scalable data solutions and collaborating cross-functionally 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 data process improvements.
• Support analytics initiatives by integrating new data sources and maintaining data quality.

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 both independently and collaboratively in a fast-paced environment.