Sr. Data Engineer

Elite eXceed; Beaverton (OR); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology firm in Beaverton, Oregon is seeking a Senior Data Engineer to enhance their Digital Dash team. The role involves building data pipelines, architecting scalable systems, and collaborating with various teams to support data-driven decision-making. Ideal candidates should have over five years in software development focusing on data analytics, along with experience in AWS and data-centric programming languages like Python. This position presents an exciting chance to contribute to data architecture on a global scale.

Qualifications

• 5+ years of experience in large-scale software development with an emphasis on data analytics.
• 3+ years of experience in data engineering development.
• 2+ years of experience designing and implementing scalable data architectures.

Responsibilities

• Build data pipelines and data validation frameworks.
• Consult and mentor other teams on scalable data architectures.
• Design and implement features in collaboration with stakeholders.

Skills

Data engineering

AWS

Python

Data analytics

Agile methodologies

Education

Masters' or Bachelor's degree in Computer Science or related field

Tools

AWS (EC2, S3, ECS, Kinesis)

Terraform

Job description

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various sources, store it in a database where we can access it, write/schedule jobs to get the data to flow in a time-consistent manner, manipulate the data as needed to allow for analysis, and build very basic front ends to input/view/edit some of the data. In this role, you will have the opportunity to have a global impact on a relatively Greenfield project from a data architecture perspective, helping Global Technology transform into a data-driven organization.

• Provide engineering on modern, cloud-based data processing technology stack

• Build data pipelines, data validation frameworks, job schedules with emphasis on automation and scale

• Architect and build systems to process high data volume and consume diverse data sources
• Consult and mentor other teams on best practices for building scalable data architectures
• Design and implement features in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
• Proactively support product health by building solutions that are automated, scalable, and sustainable - be relentlessly focused on minimizing defects and technical debt
• Demonstrable team leadership in moving features and projects forward through ambiguity to success

• Masters' or Bachelors' degree in Computer Science or a related field

• 5+ years of experience in large-scale software development with emphasis on data analytics and high-volume data processing

• 3+ years of experience in data engineering development

• 2+ years of experience designing and implementing scalable data architectures

• 2+ years of experience with AWS and related services (e.g., EC2, S3, ECS, Kinesis, SQS, SNS, Lambda, Airflow)
• Experience in data-centric programming languages (e.g., Python or Go)
• Experience with Terraform
• Experience with participating in projects in a highly collaborative, multi-discipline team environment