Mid-level Data Engineer
Hybrid Orlando, FL only (Monday - Wednesday on site T&F remote)
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.
Technical Skills & Experience
- Strong working knowledge of SQL, including relational databases, query development, and database design. Must have
- Experience building and optimizing data pipelines and datasets using scripting languages and ETL tools.
- Proven ability in data modeling and data warehouse management.
- Experience processing and analyzing large, disparate datasets.
- Strong analytical skills, including working with structured and unstructured data.
- Experience building and consuming APIs to exchange data between systems. Must have
- Ability to perform root cause analysis to answer business questions and identify improvement opportunities.
Required Experience
- 3+ years of relevant experience in data engineering or related IT roles.
- 1+ year of experience with big data and cloud technologies (e.g., Spark, Hadoop, Python, or similar) and cloud architectures.
- 1+ year of experience developing applications using modern programming frameworks (e.g., C#/.NET or similar) for web or desktop environments. Must have
- 2+ years of experience in data modeling and database development using enterprise database platforms (e.g., SQL-based systems or cloud data warehouses). Must have
- 1+ year of experience building data pipelines and ETL workflows in cloud and on-premises environments using common integration or orchestration tools (e.g., Airflow, Informatica, Kafka, or similar). Must have