Data Engineer

Tenarai; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tenarai in Seattle is seeking a Data Engineer to build and maintain large-scale data pipelines on AWS, with strong Python development and Spark workloads.

You will design ingestion, transformation, and validation processes, and shape the data lake architecture using S3, Glue Data Catalog, Athena, EMR and Redshift.

Candidates should have hands-on experience with securing and managing data access, and delivering reliable data products at scale.

Qualifications

• Strong hands-on experience as a Data Engineer.
• Proficiency in Python and Spark-based pipelines.
• Experience with large-scale AWS data pipelines.

Responsibilities

• Design and maintain ingestion, transformation, and validation pipelines at scale.
• Build and optimize Spark data processing on AWS.

Skills

Python

Spark

Data Ingestion

Data Lake

AWS

Tools

S3

Glue Data Catalog

Athena

EMR

Redshift

Job description

• Strong hands-on experience as a Data Engineer.
• Strong proficiency in Python.
• Experience building and maintaining large-scale Apache Spark pipelines on AWS.
• Strong knowledge of the modern AWS Data Lake ecosystem, including:
• Amazon S3
• AWS Glue Data Catalog
• Amazon Athena
• Amazon EMR
• Amazon Redshift
• Experience designing and implementing reliable data ingestion, transformation, and validation pipelines at scale.
• Strong understanding of Data Lake architecture and best practices.

Differentiator / Preferred Experience:

• Hands-on experience with AWS Lake Formation permission models.
• Experience designing and testing:
• LF-TBAC (Tag-Based Access Control)
• Experience designing and validating end-to-end Data Lake permission models.
• Strong experience in test design, validation, and troubleshooting for large-scale data platforms and access-control models.