
10,000+ employees
Founded 1889
🏠 Real Estate
💸 Finance
🏢 Enterprise
Real Estate • Finance • Enterprise
First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.
🕒 April 24
🏄 California – Remote
💵 $129.3k - $172.3k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
Docker
Hadoop
Kafka
Kubernetes
MongoDB
Oracle
Postgres
Python
Spark
SQL
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10,000+ employees
Founded 1889
🏠 Real Estate
💸 Finance
🏢 Enterprise
Real Estate • Finance • Enterprise
First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.
• 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.
• 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.
• medical • dental • vision • 401k • PTO/paid sick leave • employee stock purchase plan
Apply Now🕒 April 24
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🦅 H1B Visa Sponsor