Data Engineer

Company Overview The Global Edge Consultants is a woman-owned staffing firm dedicated to connecting talented professionals with projects across the globe. With expertise in diverse industries such as Oil & Energy, Information Technology, and Manufacturing, we pride ourselves on delivering exceptional service and building lasting relationships based on trust and integrity. Title: Data EngineerType: Contract – 1 Year (Possible Extension)Location: Glendale, AZSchedule: Hybrid – Standard Schedule (On-site days required) Position Overview:We are seeking an experienced Data Engineer to join our team, supporting the design, development, deployment, and operations of advanced big data pipelines. This role will work closely with data engineers, data scientists, and business SMEs to prepare and process data for use cases including predictive analytics, generative AI, and computer vision. The ideal candidate will bring deep technical expertise, collaborative skills, and a passion for mentoring others to build a world-class data engineering capability. Key Responsibilities: Design, model, and analyze big data solutions, ensuring scalability and reliability. Ingest, process, and model structured, unstructured, batch, and real-time data using modern tools and frameworks. Collaborate across teams to deliver high-quality data sources for advanced analytics and AI initiatives. Mentor junior engineers, fostering technical growth and best practices. Build and optimize scalable pipelines, transformations, and datasets using Databricks, Spark, Azure Data Factory, and/or Palantir Foundry. Ensure strong data governance, access control, and secure view implementation. Basic Qualifications: Bachelor’s degree in Computer Science or related field, plus 5+ years of relevant experience. Proven expertise with big data cloud platforms (Azure, AWS, Snowflake, Palantir, etc.). Proficiency in Python, Scala, SQL, Pandas, PySpark, or equivalent, with a focus on testable, maintainable code. Experience developing database-heavy services or APIs. Strong knowledge of distributed computing frameworks (Hadoop, Spark) and scalable storage (Delta Lake, ADLS, etc.). Understanding of workflow orchestration, monitoring, and stream processing technologies. If you're ready to make an impact in the world of data engineering and work with a team that values excellence, we invite you to apply today at The Global Edge Consultants! Job Type: Contract Pay: $66.71 per hour Expected hours: 40 per week Benefits: Dental insurance Health insurance Paid time off Application Question(s): Do you have the Following: Proven expertise with big data cloud platforms (Azure, AWS, Snowflake, Palantir, etc.). Proficiency in Python, Scala, SQL, Pandas, PySpark, or equivalent, with a focus on testable, maintainable code. Experience developing database-heavy services or APIs. Strong knowledge of distributed computing frameworks (Hadoop, Spark) and scalable storage (Delta Lake, ADLS, etc.). Understanding of workflow orchestration, monitoring, and stream processing technologies. Do you Possess any of these preferred Qualifications? Preferred Qualifications: Experience with schema evolution, data versioning, and Delta Lake optimization Exposure to data cataloging solutions in Foundry Ontology Professional experience implementing complex ML architectures in popular frameworks such as Tensorflow, Keras, PyTorch, Sci-kit Learn, and CNTK Professional experience implementing and maintaining MLOps pipelines in MLflow or AzureML Experience: Data Engineering: 5 years (Required) Work Location: Hybrid remote in Glendale, AZ 85305