Staff Data Engineer

About The Role

We 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 resources
• Setting up high-velocity data streaming consumers
• Regionalizing our data infrastructure and services
• Building out a data masking and suppression system for handling sensitive data

What You'll Do

• Architect, build, and scale our data pipelines for ingesting data from internal databases and systems, and third-party tools into our warehouse
• Help build out our data lake and real-time infrastructure and tooling on AWS
• Support analytics, data science, machine learning, and business operations functions
• Monitor and maintain pipelines and infrastructure to uphold internal SLAs

Qualifications

• 8+ years of experience in data and software engineering
• Expertise in writing complex data transforms in SQL and Python
• Knowledge 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 preferred
• BS/BA in a technical field such as Computer Science or Mathematics preferred