Senior Data Engineer

Job Description

Your opportunity Do you love the transformative impact data can have on a businessAre you motivated to push for results and overcome all obstaclesThen we have a role for you. New Relic is looking for a Senior Data Engineer to help grow our global engineering team. What youll do Lead the building of scalable, fault tolerant pipelines with built in data quality checks that transform, load and curate data from various internal and external systems Provide leadership to cross-functional initiatives and projects. Influence architecture design and decisions. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. Improve engineering processes and cross-team collaboration Provide thought leadership to grow and evolve DE function and implementation of SDLC best practices in building internal-facing data products by staying up-to-date with industry trends, emerging technologies, and best practices in data engineering This role requires 5+ years of experience in BI and Data Warehousing. Experience and knowledge of building data-lakes in AWS (i.e. Spark/Glue, Athena), including data modeling, data quality best practices, and self-service tooling. Demonstrated success leading cross functional initiatives Passionate about data quality, code quality, SLAs and continuous improvement Deep understanding of data system architecture Deep understanding of ETL/ELT patterns Development experience in at least one object-oriented language (Python,R,Scala, etc.). Comfortable with SQL and related tooling Bonus points if you have Experience with dbt, Airflow and snowflake Experience with Apache Iceberg tables Data observability experience