Lead Data Engineer

Summary

Join Career.io as a Lead Data Engineer and play a pivotal role in shaping our data infrastructure and driving data-driven decisions. This 100% remote position offers the opportunity to design, build, and maintain a robust data warehouse infrastructure using RedShift or Snowflake. You will manage ELT pipelines, implement and optimize dbt, and implement comprehensive data testing procedures. Collaboration with cross-functional teams is key, requiring strong communication and leadership skills. The ideal candidate possesses 3-5 years of data engineering experience and 3+ years leading data teams, along with expertise in specified technologies and methodologies. We are committed to fostering a diverse and inclusive workplace.

Requirements

• 3-5 years experience in data engineering
• 3+ years experience leading a team, preferably with data teams
• Strong expertise in RedShift or Snowflake data warehousing technologies
• Proficiency in dbt for data transformation and modeling
• Experience with data governance, data quality, and compliance
• Knowledge of data testing methodologies and tools
• Strong programming skills in languages such as SQL, Python, or Scala
• Excellent communication and collaboration skills

Responsibilities

• Design, build, and maintain a robust multi-stage data warehouse infrastructure, with a focus on either RedShift or Snowflake, ensuring scalability, performance, and data integrity
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse
• Implement and optimize dbt (data build tool) for data transformation, modeling, and documentation, ensuring data accuracy and consistency
• Implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks, to ensure data accuracy and reliability
• Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and provide actionable insights
• Stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement and innovation within the team

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• Master's degree preferred

Benefits

100% remote/work-from-home role