Senior Data Engineer

First American

Senior Data Engineer developing and growing data engineering capabilities for First American Trust. Building cloud data solutions and mentoring junior engineers in data engineering best practices.

Posted 4/24/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $129,300 - $172,300 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerHadoopKafkaKubernetesMongoDBOraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact

Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
Design, build, and operate secure, scalable cloud data pipelines that support analytics and data products.
Integrate new data sources into the central data warehouse and deliver curated data to applications and other downstream destinations.
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
Build and enhance a shared data lake that powers decision-making and model building.
Implement data governance best practices across pipelines and datasets, including data quality checks, metadata management, lineage, and access controls.
Partner with teams across the business to understand their needs and develop end-to-end data solutions.
Collaborate with analysts to perform exploratory analysis and troubleshoot issues.
Coach and develop the team by providing hands-on mentorship to engineers, lead code and design reviews, create training/onboarding content, and run knowledge-sharing sessions.
Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
Build tools and processes to help make the correct data accessible to the right people.
Participate in active rotational support role for production during or after business hours supporting business continuity.
Engage in collaboration and decision making with other engineers.
Lead presentations regularly for stakeholders.

Requirements

What you’ll need

5+ years of development experience with any of the following software languages: Python and SQL with cloud experience (Azure preferred or AWS).
Hands-on data security and cloud security methodologies.
Experience in configuration and management of data security to meet compliance and CISO security requirements.
Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment.
Proven experience with relational and non-relational databases (e.g., PostgreSQL, Oracle, Azure Cosmos DB, MongoDB), including schema design, indexing, query optimization, and operational management in a cloud environment.
Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment.
Demonstrated experience applying data governance best practices, including data quality validation, cataloging/metadata, lineage, and role-based access controls.
Hands-on expertise with LLMs and generative AI workflows.
Familiarity with AI governance and privacy-preserving techniques.
Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools
Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred
Experience with or knowledge of Agile Software Development methodologies.

Benefits

Comp & perks

medical
dental
vision
401k
PTO/paid sick leave
employee stock purchase plan

ATS Keywords

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Hard Skills & Tools

PythonSQLdata security methodologiescloud security methodologiesdata warehousedata lakedata analyticsrelational databasesnon-relational databasesdata governance best practices

Soft Skills

mentorshipcollaborationcommunicationproblem-solvingpresentation skillsteam leadershipprocess improvementanalytical thinkingtroubleshootingstakeholder engagement