Data engineer - TSG

Hi - please let me know if you have anyone

Rate: $43/hr C2C

Candidates who do not require sponsorship in the future are preferred, as the client may want to convert

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.
  Hi - please let me know if you have anyone
  Rate: $43/hr C2C
  Candidates who do not require sponsorship in the future are preferred, as the client may want to convert
  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.