Data Engineer- W2

Work Arrangement Hybrid Schedule: • Monday–Wednesday: Onsite • Thursday–Friday: Work from Home Location Requirement: • Candidates must currently be local to Orlando, FL • Relocation for this role is not permitted Role Overview The Data Engineer will partner with cross-functional business teams to design, build, and support scalable data pipelines, data warehouses, and analytics platforms that drive business value and improve customer satisfaction. This role focuses on hands-on data engineering, working across cloud and on-prem environments, and supporting enterprise analytics initiatives aligned with the company’s data strategy. Key Responsibilities • Design, build, test, deploy, and support secure, scalable data pipelines • Maintain and monitor enterprise data warehouses and analytics platforms • Integrate new data sources into the central data ecosystem • Develop reusable, automated solutions for data ingestion and transformation • Perform root cause analysis to support business questions and improvements • Build and consume APIs to exchange data between systems • Support cloud and on-prem data and web service solutions • Collaborate with project managers, business analysts, and data scientists • Partner with leadership to ensure data infrastructure meets evolving needs • Continuously evaluate technical strategy and recommend improvements Required Experience • 3+ years of data engineering or related IT experience • 1+ year experience with: • Apache Spark • Hadoop • Java/Scala • Python • AWS architecture • 1+ year experience with Microsoft .NET technologies (C#) and Windows/web application development • 2+ years experience in: • Data modeling • Database development using PL/SQL, SQL Server 2016+, and Snowflake • 1+ year experience building ETL/data pipelines in cloud and on-prem environments using tools such as: • Snowpipe • Informatica • Airflow • Kafka (or similar) Technical Skills & Expertise • Strong SQL skills and relational database development • Experience building and optimizing ETL/ELT pipelines • Data modeling and data warehouse management • Working with large, disconnected, and unstructured datasets • API development and integration • Strong analytical and problem-solving skills • Ability to translate business requirements into technical solutions Education • Bachelor’s degree in Computer Science, Information Systems, or related field (required) • Master’s degree (preferred) • Equivalent professional experience may be accepted in lieu of formal education Certifications (Preferred) • Snowflake certification • Python certification