Remote Staff Data Engineer - Platform & Analytics Lead

PayNearMe MT, Inc

United States

On-site

USD 150,000 - 190,000

Full time

9 days ago

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Job summary

PayNearMe MT, Inc is seeking a remote, full-time Staff Data Engineer to provide technical leadership in designing and developing a modern data platform that supports reporting and analytics. You will lead scalable data models across bronze, silver, and gold layers and architect cloud-native ELT pipelines for payment analytics and regulatory reporting.

The role requires a strong background in enterprise data platforms, dimensional modeling, and SQL/Python with Snowflake and AWS.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
  • 10+ years of professional experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.
  • Deep expertise designing enterprise-scale data platforms and cloud-native architectures.
  • Expert knowledge of dimensional modeling, fact and dimension design, and data warehouse architecture.
  • Strong experience with SQL, Python, Snowflake, dbt, and AWS technologies.

Responsibilities

  • Lead the design and implementation of scalable data models across Bronze, Silver, and Gold layers of the data architecture.
  • Design, build, and optimize cloud-native ELT pipelines to support various data products, including payment analytics and regulatory reporting.
  • Serve as a technical leader, mentoring engineers and driving best practices for data modeling and pipeline development.

Skills

Dimensional modeling
Data warehousing
Cloud architecture
Mentoring

Education

Bachelor's degree in CS/IS/Engineering/Math/Statistics

Tools

Snowflake
dbt
SQL
Python
AWS

Job description

PayNearMe MT, Inc is seeking a remote, full-time Staff Data Engineer to provide technical leadership in designing and developing a modern data platform that supports reporting and analytics. You will lead scalable data models across bronze, silver, and gold layers and architect cloud-native ELT pipelines for payment analytics and regulatory reporting.

The role requires a strong background in enterprise data platforms, dimensional modeling, and SQL/Python with Snowflake and AWS.

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