PlatformQ

Senior Data Engineer

PlatformQ

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSCloudDynamoDBEC2JavaScriptNoSQLPythonSQLTypeScriptVue.js

About the role

  • PlatformQ seeks a Senior Data Engineer to lead design, development, and optimization of applications and infrastructure.
  • Own and evolve architecture to ensure security, reliability, scalability, and performance of the platform.
  • Collaborate with cross-functional teams to deliver data solutions that power decision-making and innovation.
  • Architect, build, and maintain robust, scalable, and secure data pipelines and applications.
  • Design and optimize data warehouse and lakehouse models for efficient querying and analysis.
  • Proactively monitor, troubleshoot, and optimize pipelines to deliver trusted, consistent data.
  • Evaluate and implement data storage solutions (SQL data warehouses, in-memory stores, NoSQL databases).
  • Architect and optimize APIs and services to support data reporting and analytics applications.
  • Automate infrastructure and resource management using IaC.
  • Implement best practices, set engineering standards, and lead technical design reviews.
  • Mentor junior engineers and contribute to a culture of technical excellence.
  • Collaborate with engineering and cross-functional stakeholders to translate business requirements into scalable solutions.
  • Partner with product, engineering leadership, and business stakeholders to ensure the data strategy supports organizational goals.
  • Drive Agile development practices and contribute to project planning and prioritization.

Requirements

  • Bachelor’s or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering with increasing levels of responsibility.
  • Proficiency in Python and SQL with large-scale data systems.
  • Expertise in AWS cloud services (API Gateway, CloudWatch, DynamoDB, EC2, ECS, IAM, Lambda, Redshift, S3, etc).
  • Strong knowledge of data modeling, relational and non-relational databases.
  • Hands-on experience with orchestration tools (e.g., Airflow, AWS Step Functions).
  • Experience with Infrastructure as Code for building and deploying cloud resources.
  • Experience developing secure APIs and web applications using JavaScript/TypeScript.
  • Strong analytical, problem-solving, and communication skills.