Staff IT Data Engineer

About Ironclad: Ironclad is the 1 contract lifecycle management platform for innovative companies. Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Mastercard, OpenAI, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. Ironclad is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management . We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor’s Best Places to Work 2023 , Forbes’ 50 Most Promising AI Companies , Wing Venture Capital’s Enterprise Tech 30 , and Gartner’s Magic Quadrant. We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter . About the Role: As a Staff IT Data Engineer at Ironclad, you’ll work cross-functionally to identify business problems and architect, build, and verify solutions. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward. We seek experienced engineers with strong coding fundamentals and a track record of shipping high quality products. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture and offer remote work flexibility. If you’d like to join us on our mission to build the product that legal teams love, let’s talk! What you’ll do: Collaborate cross functionally with Business Intelligence, analysts, and other data teams to design, build and maintain scalable and efficient data pipelines from a wide range of data sources Work with stakeholders across the organization to understand their data needs and gather project requirements Develop and implement data management processes including data cleansing, data validation and data governance Design, build, and maintain data pipelines to a data warehouse while prioritizing data governance and scalability What we look for: At least 6 years of experience architecting, building, launching and maintaining complex data systems/processes Experience with data platforms such as SnowFlake, BigQuery, FiveTran, dbt, Airflow, etc. Proficient in one or more programming languages such as TypeScript, JavaScript, Python, SQL, etc. Experience with data modeling, warehousing and building ELT/ETL pipelines Experience with Infrastructure-as-Code, CI/CD (Terraform, Git, Jenkins) Experience with cloud service providers such as GCP, AWS and Azure Familiarity with BI and dashboarding tools such as Tableau and Looker Optional experience in: MLOps or AIOps AI and ML evaluations and data pipelines AI Model Training What We Offer Collaborative and innovative work environment. Flex PTO for any reason, including sick days (no specified limits), flexible work schedule. Personal laptop. Health and wellness package.

Location: Tenochtitlán, Chiapas, MX

Posted Date: 7/6/2025