A Place for Mom is hiring a
Data Engineer

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A Place for Mom

πŸ’΅ $150k-$180k
πŸ“Remote - United States

Summary

Join A Place for Mom as a Data Engineer and oversee data warehouse operations, design and develop ETL processes, implement data quality checks, collaborate with cross-functional teams, and provide technical support.

Requirements

  • Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management
  • Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools
  • Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets
  • Effective communication skills with the ability to convey technical information to non-technical stakeholders
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent working experience

Responsibilities

  • Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability
  • Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency
  • Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse
  • Manage and optimize data pipelines to ensure timely and accurate data processing and delivery
  • Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse
  • Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices
  • Provide technical support and expertise on data-related issues and queries from other teams
  • Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations

Benefits

  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

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