Data EngineerCompany: Verizon Location: Remote (Strong preference for candidates based in Atlanta, Dallas, or Miami) Start Date: ASAP Duration: 12 Months, with eligibility for full-time conversion at 6 monthsAbout the RoleWe’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 DoPartner 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 ForEducation & ExperienceMaster’s degree in Computer Science, Engineering, Statistics, or a related field ORAssociate-level Azure certifications paired with strong hands-on experience.Minimum of 4 years of Data Engineering experience, ideally within large or enterprise environments.Technical SkillsStrong 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 ProfileStrong 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.