Data Engineer

Data Engineer

Posted 2 days ago by Robert Half

Negotiable
Undetermined
Remote
Remote or Newtown Square, Pennsylvania

Summary: We are seeking an experienced Data Engineer to join our team in Newtown Square, Pennsylvania, for a long-term contract role. The position involves designing and implementing data solutions, leading the development of data architectures, and collaborating with various teams to achieve organizational goals. This role is pivotal in managing a Snowflake data lake and ensuring data quality and reliability for business users.

Key Responsibilities:

  • Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.
  • Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.
  • Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.
  • Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.
  • Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.
  • Ensure data quality and reliability, providing business users with a trustworthy platform.
  • Document architectural designs, data workflows, and operational procedures to support sustainable data management.
  • Coordinate with external vendors to meet project deadlines and ensure successful implementations.

Key Skills:

  • 5-8+ years of experience in data engineering, with a strong background in Snowflake architecture, security, and optimization.
  • Proficiency in cloud platforms such as AWS or Azure, including networking and storage solutions.
  • Expertise in data integration tools and techniques, including ETL processes and Oracle Data Integrator.
  • Advanced skills in data modeling and analytics tools such as Tableau.
  • Experience managing technical vendors and consultants to ensure project success.
  • Excellent communication skills, with the ability to engage effectively with non-technical stakeholders.
  • Proven ability to work independently and manage competing priorities in a dynamic environment.
  • Familiarity with Python, dbt, or similar data transformation tools is preferred.

Salary (Rate): undetermined

City: Newtown Square

Country: United States

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Description

We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.

Responsibilities:
Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.
Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.
Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.
Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.
Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.
Ensure data quality and reliability, providing business users with a trustworthy platform.
Document architectural designs, data workflows, and operational procedures to support sustainable data management.
Coordinate with external vendors to meet project deadlines and ensure successful implementations.

Requirements

5-8+ years of experience in data engineering, with a strong background in Snowflake architecture, security, and optimization.
Proficiency in cloud platforms such as AWS or Azure, including networking and storage solutions.
Expertise in data integration tools and techniques, including ETL processes and Oracle Data Integrator.
Advanced skills in data modeling and analytics tools such as Tableau.
Experience managing technical vendors and consultants to ensure project success.
Excellent communication skills, with the ability to engage effectively with non-technical stakeholders.
Proven ability to work independently and manage competing priorities in a dynamic environment.
Familiarity with Python, dbt, or similar data transformation tools is preferred.

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