We are seeking a Senior Data Engineer to design build and scale data systems that power analytics reporting and data-driven decision-making across the organization. In this role youll own core data infrastructure enable reliable data pipelines and partner closely with product analytics and engineering teams to ensure data is trustworthy accessible and scalable.If you enjoy working at the intersection of data infrastructure and product and want to have a meaningful impact on how data is used across the businessthis role is for you.About the RoleDesign build and maintain scalable data pipelines and ETLELT workflows.Develop and optimize data models that support analytics reporting and downstream applications.Own and evolve the data platform including data warehouses data lakes and streaming systems.Ensure data quality reliability and observability across pipelines.Partner with product managers analysts and engineers to define data requirements and deliver trusted datasets.Implement best practices for data governance security and access control.Optimize data performance and cost at scale.Participate in architectural discussions and mentor junior engineers.Troubleshoot and resolve complex data issues in production environments.About You5 years of professional experience in data engineering or a related role.Strong proficiency in SQL and at least one programming language such as Python Java or Scala.Experience building and maintaining production-grade data pipelines.Hands-on experience with modern data warehouses Snowflake BigQuery Redshift Databricks.Experience with workflow orchestration tools Airflow Dagster Prefect.Familiarity with batch and streaming data systems Kafka PubSub Kinesis.Experience working in cloud environments AWS GCP or Azure.Strong understanding of data modeling data quality and analytics use cases.Comfortable working in Agile cross-functional environments.Bonus SkillsExperience with dbt and analytics engineering workflows.Familiarity with data observability tools Monte Carlo Great Expectations.Experience with real-time or near-real-time data processing.Knowledge of privacy compliance and data governance frameworks.Experience supporting machine learning or data science workflows.Background in cost optimization for large-scale data systems.Why You Should ApplyBuild and own data systems that drive business-critical insights.Work with modern data tooling and large-scale datasets.Collaborate with experienced engineers analysts and product leaders.Influence the long-term data architecture and best practices.Work EnvironmentWe offer a flexible hybrid work environment for employees located in the San Francisco Bay Area South Bay and Peninsula regions. This allows you to balance focused remote work with collaborative in-person work.From Tangerine SearchTangerine Search is an equal opportunity agency that values diversity. We do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment.