Data Engineer Consultant

About Signeasy Contracts run businesses. We are unlocking the intelligence inside them. Signeasy began sixteen years ago with a simple idea. Signing should be easy. That idea helped the world go paperless. But signatures were only the beginning. Today, the real problem isn't signing contracts. It's what happens after. Across every company, contracts sit scattered across inboxes, shared drives, CLMs, ERPs, and filing systems. They're static. Forgotten. Underused. And yet, they quietly define revenue, risk, compliance, and growth. We believe contracts are one of the most powerful and most overlooked sources of truth in a business. 2025 changed everything. While others continued to treat contracts as mere paperwork, we began transforming them into living, searchable, and intelligent systems of record. We shipped over 250 product releases, achieved 21 CFR Part 11 compliance, got featured in Apple's WWDC, while building the foundation for what comes next. 2026 will be our biggest year yet. With the launch of Intelligent Contract Management, we are going to market with an AI-powered contract management platform built for modern teams who expect more than storage, signatures, or status quo software. This is the moment. And this is the team building it. If you want to help shape the future of contracts with us, please read on. About the Role As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data pipelines and warehouse solutions. You will work closely with analysts and business teams to ensure that clean, reliable, and well-structured data is available for decision-making. The ideal candidate is eager to solve complex problems, optimize data operations, and grow their skills in a dynamic startup environment. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines to integrate various data sources into Snowflake. Optimize data warehouse architecture and performance to support analytics and dashboarding needs. Collaborate with analysts and business teams to understand data requirements and ensure accessibility. Ensure data integrity, security, and governance across all data workflows. Work with modern data tools and frameworks to automate and improve data processing. Develop and maintain monitoring systems to detect and resolve data pipeline failures efficiently. Continuously evaluate and improve data workflows and processing efficiency. Requirements 3-4+ years of experience in data engineering, preferably in a fast-paced startup environment. Strong experience with Snowflake, including warehouse optimization and SQL performance tuning. Proficiency in SQL and Python for data transformation and automation. Hands-on experience with ETL/ELT tools and frameworks (e.g., dbt preferable). Experience in data modelling and schema design for analytics dashboarding and reporting tools (e.g., Looker, Tableau, Power BI) and optimizing data for visualization. Strong problem-solving skills and eagerness to learn new technologies. Why work with Signeasy: Our values make us a TIGER — Trust, Integrity, Growth Mindset, Empathy, Responsibility. We operate as a lean, close-knit, and nimble team. We are opinionated but collaborative — we disagree, then commit to a mutual decision. We are modern but don't follow trends blindly. We are easy to work with, but we believe in having difficult conversations. We ask many questions, experiment, and learn fast. And we are deeply empathetic — towards our customers, our colleagues, and ourselves. Our people are our most significant asset. You will be working alongside some of the smartest, most humble people across the globe, who come from diverse backgrounds and bring unparalleled experiences. We are a hybrid-friendly organization that believes in workplace flexibility — a mix of in-person collaboration at the office and focused work from home. We are the #SigneasyTribe, and we encourage you to ask plenty of questions about our culture to see if there's a job-human connection that makes this a fascinating experience for both of us. We'd love to hear from you Amazing talent comes from all kinds of life journeys. If what's written above speaks to you — whether or not you look like a perfect fit on paper — please apply. We review every application and will get back to you within a week. Hear what it's like to work at Signeasy: https://www.youtube.com/watch?v=oCY-rCTODbw Meet Signeasy's leadership team: https://rb.gy/ftyfkw Read our origin story: https://rb.gy/azsda0 Take a peek at Signeasy's culture: https://rb.gy/nvra6o Learn more about growth at Signeasy: https://signeasy.com/jobs/