Data Engineer

Staffingine LLC

New York (NY)

On-site

USD 120,000 - 180,000

Part time

6 days ago
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Job summary

Staffingine LLC in New York, NY is seeking a Data Engineer for a contract position to design and maintain data platform pipelines, support data models, and implement transformations using dbt, AWS services, Iceberg, Snowflake, and Airflow.

The role requires collaboration with data engineers, data scientists, analysts, and cross-functional teams, and participation in Agile ceremonies to drive the Core Data Platform roadmap while adhering to standards and governance.

Qualifications

  • 7+ years of experience developing and supporting data pipelines.
  • Understanding of data modeling concepts, including dimensional modeling and data normalization principles.
  • Proficiency in at least one programming language or tool

Responsibilities

  • Develop and maintain data platform pipelines and data integration processes.
  • Support conceptual, logical, and physical data models.
  • Build and maintain data transformations using dbt and scalable data solutions.
  • Collaborate with data engineers, data scientists, analysts, and cross-functional teams.
  • Apply data engineering concepts with AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, Airflow.
  • Participate in Agile/Scrum ceremonies and team planning.
  • Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
  • Follow standards and best practices for data pipelines and platform development.
  • Monitor 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 deliver data solutions.
  • Maintain documentation to support data quality, governance, and operational requirements.

Skills

Data pipeline development
Agile/Scrum collaboration
Data modeling principles

Tools

dbt
AWS (S3, Lambda, SNS, SQS)
Iceberg
Snowflake
Airflow

Job description

Job Title: Data Engineer
Job Location: NYC, NY
Job Type: Contract

Job Description
  • 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.
  • Proficiency in at least one program
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