Teramind-posted 3 months ago
Full-time • Mid Level
51-100 employees

Teramind is seeking a Senior Data Engineer to manage and optimize our business data infrastructure, ensuring that operational and business reporting needs are met as Teramind’s business continues to grow and evolve. This role involves managing data integrations and relationships across multiple internal and external systems, and ensuring strong availability, quality, and security of data within our Google Cloud infrastructure. The Senior Data Engineer will be part of a small team whose mission is to deploy BI reporting and analytics that provide actionable business insight, and support new and evolving operational strategies. The ideal candidate will have strong business problem-solving skills and passion to achieve business results, in addition to strong technical data management skills.

  • Design, build, and maintain scalable data architecture within our Google BigQuery database and related systems.
  • Lead the design and implementation of reliable ETL/ELT pipelines to ingest, clean, and transform data from internal and external data sources.
  • Monitor and tune existing data systems and pipelines to improve performance, reduce costs, and enhance reliability.
  • Implement data quality checks, monitoring, and validation processes.
  • Establish and enforce data governance standards to ensure data accuracy, consistency, and security.
  • Mentor and provide technical guidance to others on the team.
  • Partner with business and operational stakeholders across the organization to gather requirements and deliver data-driven solutions.
  • Create and manage data integrations and APIs to support internal applications, customer-facing features, and partner ecosystems.
  • Research and implement new data technologies and tools to enhance the platform's capabilities.
  • 5+ years of hands-on experience in a data engineering role, preferably in a SaaS environment.
  • Demonstrated expertise in building, optimizing, and maintaining scalable data infrastructure.
  • Strong expertise in Python and SQL for data manipulation and scripting.
  • Advanced experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehouse systems such as Google BigQuery.
  • Deep understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.
  • Proficiency with workflow orchestration tools like Airbyte or Apache Airflow, and data transformation tools like dbt.
  • Excellent communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Experience working in a SaaS environment with complex data access, security, and governance requirements.
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Experience with data science frameworks, tools, and problem-solving, including LLM and other problem-solving techniques.
  • This is a remote job. Work from anywhere!
  • Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.
  • Competitive salary
  • High-quality health benefits
  • 401(k) with employer match
  • Career growth opportunities
  • Unlimited paid time off
  • Company-issued laptop (choice of Mac or PC)
  • Professional development budget
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