Data Engineer

• Our data pipelines are highly expandable and reliable, enabling the efficient development of new data products.
• Teams across the company can easily access accurate, trustworthy data to make better decisions and drive growth.
• Data is well-documented, discoverable, and monitored, reducing duplication and confusion.
• You've become a trusted partner to both technical and non-technical teams, helping them unlock value from data.

This isn't a role for maintaining legacy systems. This is a unique opportunity to take the lead on a significant data re-architecture project. You will have the autonomy and trust to make critical architectural decisions, laying the technical foundation that will empower our entire business-from product and analytics to customer intelligence and growth. If you are motivated by high-impact work and the challenge of building a best-in-class, scalable data platform from the ground up, we want to talk to you., * You have 4-6+ years of professional experience as a Senior or Lead Data Engineer, defined by successfully leading at least one significant data re-architecture project.

• You possess deep expertise in SQL and Python and apply data engineering best practices as second nature (testing, version control, CI/CD).
• You have strong, hands-on experience building scalable data pipelines in a modern cloud environment, using tools like dbt, AWS Glue, AWS Lake Formation, Apache Spark, and Amazon Redshift.
• You have a firm grasp of data modeling, ELT design patterns, data governance, and security best practices.

Your Approach to Work:

• You are driven by autonomy and thrive when given the freedom to solve complex, ambiguous problems. You are frustrated by inefficiency and micromanagement.
• You are a natural communicator who builds strong relationships, consults with stakeholders, and ensures everyone is aligned before moving forward.
• You have a hybrid work style: highly collaborative when framing a problem, but disciplined and independent when building the solution.
• You are genuinely geeky about data, best practices, and new tooling. You are described by others as solution-oriented, proactive, and approachable.
• You see constructive feedback as a vital opportunity for growth., * Exposure to reverse ETL tools like Census.
• Knowledge of data privacy regulations (e.g., GDPR, ISO 27001).
• Experience with customer-facing analytics features in a multi-tenant SaaS product.
• Experience building data pipelines to support AI and machine learning use cases.