Staff Data Engineer

About The RoleWe are looking for an experienced data engineer to join our fast-growing data engineering team. As one of the senior-most members of the team, you will be leading the design and development of data pipelines and services to enable data-driven decision-making, and power BI, ML, experimentation, and user-facing features. You are expected to work closely with stakeholders across a variety of orgs, such as Data Science, Marketing, Bizops, RevOps, Finance, and adjacent data teams to drive projects forward and support the professional development of junior team members.Here’s an idea of some of the initiatives you could be working on:Building custom data pipelines using Airflow and AWS resourcesSetting up high-velocity data streaming consumersRegionalizing our data infrastructure and servicesBuilding out a data masking and suppression system for handling sensitive dataWhat You'll DoArchitect, build, and scale our data pipelines for ingesting data from internal databases and systems, and third-party tools into our warehouseHelp build out our data lake and real-time infrastructure and tooling on AWSSupport analytics, data science, machine learning, and business operations functionsMonitor and maintain pipelines and infrastructure to uphold internal SLAsQualifications8+ years of experience in data and software engineeringExpertise in writing complex data transforms in SQL and PythonKnowledge of data warehousing concepts around building custom ETL integrations, and building data infrastructure (SCD, CDC, Snapshots, indexing, partitioning)Knowledge of Data Security and Governance (nice to have)Experience in analytics, dimensional modeling, and ETL optimization preferredBS/BA in a technical field such as Computer Science or Mathematics preferred

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