Data Infrastructure Specialist

5 days ago

Austin, Texas, United States ZipRecruiter Full time

Are you passionate about building scalable data infrastructure that fuels advanced analytics and machine learning? At ZipRecruiter, we're looking for a highly skilled Data Engineer (aka The Data Pipeline Architect) to design, develop, and optimize the data systems that form the backbone of our products.

About the Role

As a Data Engineer at ZipRecruiter, you'll be responsible for constructing efficient, scalable data pipelines, ensuring data is accessible and usable for analysts, data scientists, and business stakeholders. You'll work with large datasets, implement ETL processes, and build the infrastructure that powers analytics and AI-driven insights.

Key Responsibilities:
  • Design and Develop Data Pipelines: Build and maintain robust, scalable, and efficient data pipelines to ingest, process, and store data from a variety of sources. You'll design ETL (Extract, Transform, Load) processes to move and transform data, ensuring data integrity and accuracy.
  • Data Warehouse Management: Architect and maintain data warehouses or data lakes using cloud platforms (e.g., AWS Redshift, Google BigQuery, or Snowflake) to organize and store large-scale datasets. You'll ensure the infrastructure is optimized for fast querying and scalability.
  • Collaborate with Data Scientists and Analysts: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver datasets that meet business needs. You'll provide clean, well-structured data to enable advanced analytics and machine learning projects.
  • Data Quality and Governance: Implement data quality checks and monitoring systems to ensure the accuracy, completeness, and consistency of data across the pipeline. You'll help establish data governance standards and policies to ensure compliance and security.
  • Performance Optimization: Optimize the performance of data systems, ensuring fast and reliable data access. You'll tune queries, design efficient storage architectures, and implement best practices for data retrieval and processing.
  • Automation and Monitoring: Automate data workflows, pipeline deployments, and data quality checks to minimize manual intervention. You'll set up monitoring and alerting systems to detect issues early and ensure smooth operation of data pipelines.
  • Data Security and Compliance: Implement security protocols to protect sensitive data, ensuring compliance with relevant regulations such as GDPR, HIPAA, or SOC2. You'll work with security teams to enforce access controls, encryption, and data privacy best practices.
Requirements
  • Estimated Salary: $120,000 - $180,000 per year
  • Strong experience in data engineering with hands-on experience building and managing data pipelines, data warehouses, and cloud-based storage solutions.
  • Proven experience working with big data technologies and distributed systems, optimizing data flows and processes to handle large datasets.
  • Familiarity with data quality, data governance, and data security best practices is highly desirable.

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