Data Engineer - Snowflake + PySpark - Only W2

Data Engineer Location: Remote (Strong preference for candidates based in Atlanta, Dallas, or Miami) Duration: 12 Months, with eligibility for full-time conversion at 6 months About the Role We’re looking for a Data Engineer to join a multidisciplinary Agile team supporting large-scale data initiatives for Verizon. This role focuses on designing, building, and maintaining the data systems and pipelines that enable advanced analytics and data-driven decision-making across the organization. What You’ll Do • Partner with software engineers, business stakeholders, and subject matter experts to translate requirements into scalable data solutions. • Develop, implement, and deploy ETL pipelines and workflows. • Preprocess and analyze large datasets to uncover meaningful insights. • Validate, refine, and optimize data models for performance and reliability. • Monitor and maintain data pipelines in production, identifying improvements and refining workflows. • Document development processes, workflows, and best practices to support team knowledge sharing. What We’re Looking For Education & Experience • Master’s degree in Computer Science, Engineering, Statistics, or a related field • OR • Associate-level Azure certifications paired with strong hands-on experience. • Minimum of 4 years of Data Engineering experience, ideally within large or enterprise environments. Technical Skills • Strong programming proficiency in Python, PySpark, and SQL. • Experience building and optimizing ETL workflows using tools such as Spark, Snowflake, Airflow, Azure Data Factory, AWS Glue, or Redshift. • Ability to craft and optimize complex SQL queries and stored procedures. • Experience developing and maintaining scalable, high-performing data models. • Hands-on expertise with Snowflake, including Snowpark for data processing. • Exposure to API integrations to support data workflows. • Experience implementing CI/CD pipelines through DevOps platforms. • Solid understanding of Azure cloud infrastructure and services. Ideal Candidate Profile • Strong ETL developer with hands-on Snowflake + PySpark experience. • Skilled in building production-grade, scalable data pipelines. • Comfortable collaborating across technical and business teams in an Agile environment. • Detail-oriented with strong documentation and communication skills.