Data Engineer - Snowflake - (In & Around NYC)

Xforia Global Talent & Technology Solutions; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Xforia Global Talent & Technology Solutions is seeking a data platform engineer to develop and maintain pipelines, support data models, and deliver scalable data solutions in a collaborative, Agile environment.

Responsibilities include collaborating with engineers and product teams to implement Snowflake-based data platforms, utilizing dbt for transformations, and applying best practices for data governance and quality in a NYC onsite setting.

Qualifications

• 7+ years of experience developing and supporting data pipelines.
• Understanding of dimensional modeling and data normalization.

Responsibilities

• Develop and maintain data platform pipelines and data integration processes.
• Support the implementation of conceptual, logical, and physical data models.
• Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
• Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
• Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
• Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
• Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
• Follow established standards and best practices for data pipelines, naming conventions, and platform development.
• Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
• Contribute to documentation of data assets, processes, and platform standards.
• Partner with stakeholders to understand business requirements and support delivery of data solutions.
• Maintain documentation to support data quality, governance, and operational requirements.

Skills

Snowflake

SQL

Complex SQL

Performance tuning

Python

Airflow

AI proficiency

Data Modeling

Tools

dbt

AWS

Iceberg

S3

Job description

NYC, NY (3 Days Onsite)

Skillset: Snowflake, complex SQL queries, performance tuning, Python, Airflow, Data Modelling & proficiency in using AI

Key Responsibilities:

• Develop and maintain data platform pipelines and data integration processes.
• Support the implementation of conceptual, logical, and physical data models.
• Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
• Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
• Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
• Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
• Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
• Follow established standards and best practices for data pipelines, naming conventions, and platform development.
• Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
• Contribute to documentation of data assets, processes, and platform standards.
• Partner with stakeholders to understand business requirements and support delivery of data solutions.
• Maintain documentation to support data quality, governance, and operational requirements.

Qualifications:

• 7+ years of experience developing and supporting data pipelines.
• Understanding of data modeling concepts, including dimensional modeling and data normalization principles.