S

Senior Data Engineer - Cloud and ETL Pipelines

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

This role involves designing and maintaining data systems and pipelines supporting large-scale data initiatives for Verizon. The candidate will collaborate with cross-functional teams to develop scalable data solutions and optimize workflows. It offers a remote work environment with potential for full-time conversion after 6 months.

Key Highlights
Design, build, and maintain large-scale data pipelines and systems
Collaborate with engineering and business teams to meet data needs
Develop and optimize ETL workflows using cloud-based tools
Technical Skills Required
Python PySpark SQL Snowflake Airflow Azure Data Factory AWS Glue Redshift APIs CI/CD Azure Cloud
Benefits & Perks
Remote work with preference for Atlanta, Dallas, or Miami
Potential full-time conversion after 6 months
Start ASAP with 12-month duration

Job Description


+1 571-556-1002 |[email protected]

Hiring Data Engineer -W2|| 100% Remote

Hi Folks

Please check the JD and share your updated resume

JD

Data Engineer-W2

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.


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