Elite Exceed

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