Mid-Level Data EngineerHybrid 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 & ExperienceStrong working knowledge of SQL, including relational databases, query development, and database design. Must haveExperience 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 haveAbility to perform root cause analysis to answer business questions and identify improvement opportunities.Required Experience3+ 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 have2+ years of experience in data modeling and database development using enterprise database platforms (e.g., SQL-based systems or cloud data warehouses). Must have1+ 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).
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