Data Engineer

Data Engineer Location: Hybrid – 3 days onsite, 2 days remote Pay Rate: Up to $52/hr (based on experience) Position Type: 1-year contract Introduction 4 Corner Resources is seeking a Data Engineer for one of our clients to support the design, development, and maintenance of enterprise data platforms and analytics infrastructure. This role focuses on building scalable data pipelines, integrating new data sources, and ensuring reliable movement of data across applications and systems. The ideal candidate will have strong experience working with modern data warehouse technologies, cloud platforms, and scripting languages to support data engineering and analytics initiatives. This role works closely with cross-functional teams including project managers, business analysts, and data scientists to translate business requirements into scalable technical solutions. Required Qualifications Bachelor’s degree in Computer and Information Science or a related field Minimum 3 years of experience with Snowflake and Python At least 3 years of related data engineering or IT experience Strong SQL skills and experience working with relational databases Experience building and optimizing data pipelines and large-scale datasets Experience designing and managing data warehouses and data models Ability to perform root cause analysis on internal and external data processes Experience working with structured and unstructured datasets Strong analytical, problem-solving, and communication skills Ability to work both independently and collaboratively within cross-functional teams Strong attention to detail and organizational skills Ability to translate business requirements into technical solutions Preferred Qualifications Master’s degree in Computer Science or related field Experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture Experience with Microsoft .NET technologies (C#, VB.Net) and development of Windows or web applications Experience with PL/SQL, SQL Server 2016 or later, and Snowflake Experience building ETL pipelines using Snowpipe, Informatica, Airflow, Kafka, or similar tools Experience building and consuming APIs for data integration Experience working with cloud and on-premise data infrastructure Day-to-Day Responsibilities Maintain and monitor analytics data warehouses and data platforms Design, implement, test, deploy, and maintain scalable data engineering pipelines Integrate new data sources into the central data warehouse and distribute data to applications and partners Develop scalable code and automation to streamline repetitive data management tasks Build processes supporting data extraction, transformation, and loading (ETL) Collaborate with project managers, business analysts, and data scientists to translate requirements into technical specifications Develop and support cloud and on-premise data infrastructure solutions Build and maintain APIs to move data across systems and platforms Analyze large and disconnected datasets to extract meaningful insights Monitor technical strategy, identify infrastructure gaps, and propose scalable solutions 4CR2