Senior Software Engineer, Data Platform


Job Description
About Anomalo Much like software before it, data is the next competitive battleground for modern enterprises. As a result, more and more companies are rushing to stand up their data stack and become data-powered organizations. But every data-powered company quickly encounters one unfortunate fact: much of their data is missing, stale, corrupt, or prone to unexpected and unwelcome changes. Because of this, companies spend more time dealing with issues in their data rather than unlocking that data's value. Anomalo addresses this problem by adding a new layer to the Modern Data Stack: a Data Quality Platform that monitors enterprise data to automatically detect and root-cause any data issues, thus allowing teams to resolve any hiccups with their data before making decisions, running operations, or powering models. We help companies trust the data they use to make decisions and build products. We work with some of the biggest brands like BuzzFeed, Discover Financial Services, and Substack. We're raised over $39m in seed and Series A funding backed by top-tier venture firms like Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, and First Round Capital. We are building the platform that data-driven companies need to stay data-driven, and would love to have you join us for the ride! What you'll do at Anomalo: Own end-to-end development and improvement of the core data warehouse integrations in the Anomalo platform (Snowflake, BigQuery, Redshift, Synapse, DeltaLake, Presto, etc.) Add support for new data warehouse platforms (e.g., Firebolt) as customer demand arises Improve and maintain our SQL generation layer to ensure our core codebase generalizes flawlessly to all supported warehouse platforms Stay current on the latest technology released by data warehouse providers and how we can leverage them to improve our product offering, efficiency, and scalability Own and improve the infrastructure for running these integrations (currently Celery tasks) Setup, configure, manage and scale the test, staging, and demo deployments of all supported data warehouse platforms What you'll bring to the team: 5+ years of software development or equivalent experience Proficiency in Python Advanced knowledge of SQL as well Data Warehouse and Relational Database fundamentals Experience developing integrations with one or more cloud MPP data warehouses Bachelor's degree or higher in Computer Science or a related discipline or equivalent practical experience Ideal candidates will also have: Experience with architecting, deploying, and maintaining hybrid cloud software Prior experience working with machine learning/data science teams and complex ML pipelines Perks of working with us ‍ We were fully remote before it was a thing, your best work happens on your schedule ✈️ Unlimited vacation that we encourage you to take Top of the line family-friendly medical, dental, and vision insurance plans 16 weeks paid parental leave because family comes first A radically open and transparent culture that supports autonomy and growth Meaningful employee equity packages plus life insurance and a 401k plan ️ All new top-of-the-line laptops, monitors, and peripherals for your home office What we value Rational Optimism - We rely on each other to make principled decisions backed by data and logic For & By All - Diverse, inclusive teams build better products that represent the needs of our customers Own It - We champion ownership, and we take accountability for our work Opacity Zero - Transparency enables our autonomous and fact-driven culture Outcomes > Hours - People should work when and where they will be most productive YOLO - Life's too short not to have fun at work