Data Engineer

Role Overview We are seeking a Data Engineer to design, build, and support scalable data solutions that drive business insights and customer satisfaction. This role partners closely with cross-functional teams to deliver data pipelines, analytics-ready datasets, and reliable data platforms aligned with enterprise architecture and analytics strategy. Required Experience • 3+ years of data engineering or related IT experience • 1+ year of experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture • 1+ year of experience with Microsoft .NET technologies (C#) and Windows/web application development • 2+ years of experience in data modeling and database development using: • PL/SQL • SQL Server 2016+ • Snowflake • 1+ year building data pipelines and ETL workflows in cloud and on-prem environments using: • Snowpipe, Informatica, Airflow, Kafka, or similar tools Key Responsibilities Design, build, and maintain scalable data pipelines and ETL workflows Develop and optimize data models and data warehouse structures Partner with business and analytics teams to deliver data-driven solutions Work with large, structured and unstructured datasets to extract insights Build and consume APIs to move data between systems Perform root cause analysis to support business questions and improve data quality Ensure data solutions align with enterprise architecture and analytics standards Technical Skills • Strong SQL and relational database expertise • Data modeling and data warehouse development • Cloud-based and on-prem data integration • Scripting and automation using Python and related tools • Experience with large-scale data processing frameworks Education & Certifications • Bachelor’s degree in Computer Science, Information Systems, or related field required • Master’s degree preferred (or equivalent professional experience) • Snowflake and Python certifications preferred Professional Competencies • Strong communication, analytical, and problem-solving skills • High attention to detail and organization • Ability to work independently and collaboratively • Solid business analysis and data interpretation skills