Further

Further

Senior Data Engineer

Cleveland, Ohio · Senior

Sponsorship not specifiedDetected 26 days ago
PythonCode ReviewSQLPostgreSQLBigQuerySnowflakeVector DatabasesAWSGCPDockerTerraformCI/CDMachine LearningAirflowdbtData EngineeringRAGTest AutomationResearchMentoring

About the role

  • If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
  • We have an award winning culture of extraordinary people.

Responsibilities

  • Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
  • Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
  • Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
  • Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

Nice to have

  • Experience architecting feature stores or data pipelines specifically for ML workloads.
  • The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
  • A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
  • An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.
  • What you'll be doing in this role:
  • What you'll need to accomplish in your first year:
  • Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
  • Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Skills

  • Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions.
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