AWS Data Engineer: Data Mesh & Lakehouse Specialist

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

Job summary

Artifintech in Seattle is seeking a data engineer to design and operate scalable data extraction, ingestion, and processing systems handling large data sets. You will work with data architectures like Data Mesh and Lakehouse to enable analytics across the organization.

The role requires experience with AWS data services, IaC tools, and programming languages such as SQL and Python. You will collaborate to ensure data quality, security, and accessibility for business intelligence and analytics

Qualifications

• Experience building highly available, distributed data systems for extraction, ingestion, and processing of large data sets.
• Knowledge of Data Mesh and Data Lakehouse architectures.
• Experience with Master Data Management (Reltio preferred).
• Ability to research and select technical approaches for complex development problems.
• Build and maintain automated data flows with data quality monitoring and infrastructure status.
• Implement API interfaces for accessibility.
• Develop secure cloud data solutions aligning with privacy and security controls.
• Enable data and analytics capabilities meeting business requirements and technical standards.

Responsibilities

• Build and operate scalable data extraction, ingestion, and processing pipelines.
• Research, analyze, recommend technical approaches for solving complex problems.
• Automate data flows and supervise data quality and infrastructure status.
• Implement API interfaces for accessibility across systems.
• Secure cloud data solutions aligned to privacy and security controls.
• Support data analytics capabilities ensuring requirements and standards are met.

Skills

Data architecture

Distributed systems

Data engineering

SQL

Python

ETL/ELT

Cloud concepts

Tools

CloudFormation

Terraform

AWS

S3

Redshift

Kinesis

Lambda

DMS

Glue

VPC

IAM

Job description

Artifintech in Seattle is seeking a data engineer to design and operate scalable data extraction, ingestion, and processing systems handling large data sets. You will work with data architectures like Data Mesh and Lakehouse to enable analytics across the organization.

The role requires experience with AWS data services, IaC tools, and programming languages such as SQL and Python. You will collaborate to ensure data quality, security, and accessibility for business intelligence and analytics