Sr. Data Engineer (AI/Data Modernization)

VTRAC Consulting Corporation; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Sr. Data Engineer (AI/Data Modernization) to build and maintain data infrastructure. The role involves designing data systems, collaborating with teams, and ensuring data quality. Ideal candidates have extensive experience in data engineering and proficiency in relevant tools.

Qualifications

• 8+ years in data engineering or related field.
• 4+ years in data modeling and architecture.

Responsibilities

• Design, build, and maintain large-scale data systems.
• Collaborate with data scientists on machine learning models.

Skills

Python

Java

Scala

Collaboration

Communication

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Tools

Apache Beam

Spark

AWS Glue

Amazon Redshift

Google BigQuery

Snowflake

Apache Hadoop

Amazon S3

Job description

VTRAC Consulting Corporation
Intelligent Solutions

Thank you for your interest in VTRAC opportunities. Please email your resume as an MS-WORD document in confidence with the subject line: Sr. Data Engineer (AI/Data Modernization), attention: [e-mail], or call: [phone].

Position Details:

• Position #: 251172
• Title: Sr. Data Engineer (AI/Data Modernization)
• Type: Contract
• Number of Positions: 1
• Location: Remote

Description:

We are seeking a skilled Data Engineer to join our team to build and maintain our data infrastructure. As a Sr. Data Engineer, you will design, build, and maintain large-scale data systems, including data pipelines, data warehouses, and data lakes. You will collaborate with data architects, data scientists, and other stakeholders to ensure our data systems support business needs.

Key Responsibilities:

• Design, build, and maintain large-scale data systems such as data pipelines, warehouses, and lakes
• Work with data architects on data models and architectures
• Collaborate with data scientists on machine learning models and data products
• Develop data pipelines using tools like Apache Beam, Spark, AWS Glue
• Implement data warehouses with Amazon Redshift, Google BigQuery, Snowflake
• Maintain data lakes with Apache Hadoop, Spark, Amazon S3
• Ensure data quality through validation and cleansing processes
• Collaborate with teams to meet business data needs
• Stay updated on data engineering trends and technologies

Qualifications:

• 8+ years in data engineering or related field
• Proficiency in Python, Java, Scala
• 4+ years in data modeling and architecture
• Experience with tools like Apache Beam, Spark, AWS Glue, Redshift, BigQuery, Snowflake
• Strong background in data warehousing and lakes
• Experience with data validation and cleansing
• Excellent collaboration and communication skills
• Bachelor’s degree in Computer Science, Engineering, or related field

Nice to Have:

• Experience with machine learning and data science
• Experience with cloud platforms like AWS, GCP, Azure
• Knowledge of Docker and Kubernetes
• Familiarity with Agile methodologies
• Understanding of data governance and security

We thank all applicants. Only selected candidates will be contacted for interviews. For more opportunities, visit www.vtrac.com. VTRAC is an equal-opportunity employer.

Locations: Toronto, Houston, New York, Palo Alto