dimensional-modeling jobs in San Diego

As a Staff Data Engineer on Dexcom's Commercial Data Science & Revenue Operations team, you will design and operate the company's commercial data platform on AWS, building pipelines that ingest from 12+ vendor sources, transform data, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development using Lambda, Glue, CDK, Step Functions, and Redshift, with responsibility for data quality frameworks, alerting systems, warehouse schema design, and governance compliance.…See more The role requires hands-on proficiency in Python, SQL, AWS architectures, and CI/CD practices, along with experience building observability infrastructure and working with healthcare compliance requirements like HIPAA. You will also mentor team members and partner with business stakeholders to translate data capabilities into strategy.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.

Principal Data Platform Engineer responsible for designing and implementing cloud-native data integrations using AWS services (S3, Glue, Lambda) and Snowflake. Builds and maintains data transformation models using dbt, manages Snowflake platform infrastructure, and leads cross-functional collaboration between engineering, analytics, and business teams.…See more Requires 8+ years in data engineering or data platform roles with expert-level Python, SQL, dimensional modeling, and infrastructure-as-code expertise. Acts as a technical mentor and translates business requirements into data architecture priorities.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.…See more The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.

Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.…See more At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.

Design, build, and maintain enterprise data pipelines using Microsoft Fabric and Azure Synapse, handling ingestion, transformation, and orchestration from ERP and supply chain systems. Develop and manage Fabric Lakehouse and Warehouse architectures, apply data modeling best practices, and ensure data quality and reliability.…See more Collaborate with analytics, BI, and IT teams to create governed, scalable analytical data assets that support Power BI and downstream consumers. Requires a bachelor's degree in a quantitative field, strong SQL and Python skills, and hands-on experience with Microsoft Fabric and Azure Synapse.