Remote Data Engineer Job in Greater Bend Mynd

Who you are

• BS or MS in a technical field such as computer science or engineering
• 5+ years of technical experience working with data
• 5+ years building scalable data services and applications using SQL Python Java or Kotlin with an interest in learning additional tools and technologies
• Deep understanding of microservices architecture and RESTful API development including gRPC REST/SOAP and GraphQL
• Experience with AWS services including SQS SNS and familiarity with real-time data processing frameworks like Apache Kafka or AWS Kinesis
• Significant experience building and deploying data-related infrastructure robust data pipelines and ETL/ELT code encompassing messaging storage compute and transformation execution
• Experience identifying and proposing initiatives to enhance the performance and efficiency of existing systems
• Strong communication and interpersonal skills
• Experience managing a team or working with an on-shore/off-shore model
• Fluent in English
• Independent engineer working ~40 hours/week Monday-Friday and being available 9am-12pm PT
• Availability until noon Pacific time zone answering in Slack and participating in occasional meetings
• Camera and microphone required during the interview and for team meetings/discussions

Desirables

• Knowledge of AWS and Azure cloud services
• Previous experience in a start-up or agile environment
• Experience with Snowflake and Airflow

What the job involves

• Improve and maintain the data services platform
• Deliver high-quality data services promptly ensuring data governance and integrity while meeting objectives and maintaining SLAs for data sharing across multiple products
• Develop effective architectures and produce key code components that contribute to the design implementation and maintenance of technical solutions
• Integrate a diverse network of third-party tools into a cohesive scalable platform
• Continuously improve system performance and reliability by diagnosing and resolving unexpected operational issues to prevent recurrence
• Ensure that your team’s work undergoes rigorous testing through repeatable automated methods
• Support data infrastructure and the rest of the data team who design implement and deploy scalable fault-tolerant pipelines that ingest and refine large diverse datasets into simplified accessible data models in production
• Collaborate with cross-functional teams to understand data flows and design build and test optimal solutions for engineering challenges
• Operate within an Agile/Scrum framework working closely with Product and Engineering teams to deliver value across multiple services and products
• Influence and shape the enterprise data platform and services roadmap architecture and design standards
• Collaborate with technology leaders and team members to design adapt and enhance the architecture to meet evolving business needs

Application process

• Interview
• Background investigation