Data Engineer
Company: 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 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.
Data engineer - TSG in Remote at Unknown Company
This position is listed as full time and able to be worked remotely.