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Requirements and responsibilities
We are building a world-class data platform that powers decision-making across the business—from product and marketing to finance and executive leadership. As a Senior Data Engineer, you will be a high-impact individual contributor working across a modern data stack, including Snowflake, dbt, and ELT pipelines.This is a high-autonomy role for someone who cares deeply about data quality, reliability, and scalability. You will design and operate robust data systems, translate business needs into technical solutions, and help establish best-in-class data engineering practices. If you enjoy building fast, trustworthy, and maintainable data platforms at scale, this role is for you.ResponsibilitiesArchitect and optimize the Snowflake data platform, including warehouse sizing, cost optimization, storage strategy, and access controlsDesign and own dbt project structure, including models, macros, testing, documentation, and scalable data contractsBuild and maintain ELT pipelines using Fivetran and orchestration tools, ensuring reliable data ingestion across multiple sourcesImplement and manage data quality and observability frameworks (tests, SLAs, lineage, monitoring, incident response)Translate business requirements into scalable data models and reusable datasetsPartner with Analytics, Product, and Marketing teams to deliver high-quality, self-service data solutionsEstablish and enforce data modeling standards (dimensional and ER models)Optimize query performance and warehouse costs in Snowflake, providing insights to stakeholdersDefine and enforce data governance policies, including RBAC, masking, and PII handlingOwn end-to-end delivery of complex data initiatives, from design to productionParticipate in code reviews and technical design discussions, raising engineering standardsIdentify and reduce technical debt across pipelines, models, and infrastructureRequirements5+ years of experience in data engineering building and operating production data pipelinesDeep expertise with Snowflake (architecture, cost optimization, governance, RBAC, masking)Strong experience with dbt (modeling, testing, macros, project structure)Hands-on experience with Fivetran or similar ELT toolsStrong knowledge of data modeling (dimensional and entity-relationship)Experience designing and maintaining scalable, production-grade data pipelinesAbility to translate ambiguous business needs into technical solutionsStrong communication skills and experience working cross-functionallyBachelor’s degree in Computer Science, Data Engineering, or equivalent experienceTech StackSnowflakedbtFivetranSQLELT pipelinesData modeling (dimensional & ER)Nice to HaveExperience with orchestration tools (Airflow, Prefect, Dagster)Familiarity with data observability tools (Monte Carlo, Atlan, dbt Explorer)Experience with event streaming systems (Kafka, Kinesis)Background in high-growth or enterprise environmentsAdvanced degree in a related fieldBenefitsWork remotely Monday - Friday, 40 hours a week (no weekends)Health Care ReimbursementActive Lifestyle ReimbursementQuarterly Home Office ReimbursementPayroll Deduction Purchase PlansContinuous Learning BonusAccess to Training and Professional Development PlatformsDid we mention it's REMOTE?!!One of our core values at Zipdev is "Be authentic." that's why we encourage you to answer the application form in your own words; we are interested in getting to know you, not a digital assistant.Wondering how our remote environment or our payment method work? We've put together some helpful answers in our FAQs at the bottom our our career site. Take a look and let us know if you have any other questions!
Optionally, you can add more information later (benefits, pre-screening questions, etc.)