Senior Data Engineer (Remote)
: Job Details :

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has believed in its people. We foster an environment where all feel welcome, supported, and empowered to innovate and reach their full potential. Our inclusive culture has earned us numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for ten consecutive years. We also recognize and celebrate diversity and inclusion across various communities. For more information, please visit .

What We Do

Remote Work Welcome

Be part of a transformative team shaping how First American builds and delivers technology products that fuel the real estate industry. We seek top-tier technology experts to envision, design, build, and deliver innovative solutions that provide exceptional experiences and lasting value to our customers.

We are looking for a passionate Senior Data Engineer who enjoys learning, experimenting, and building in a fast-paced environment. Your role will involve designing, building, and maintaining scalable data pipelines and cloud infrastructure, leveraging Databricks and PySpark to process large datasets efficiently. You will have the opportunity to make a significant impact and drive organizational efficiency.

What You'll Do:

Operationalize our Databricks Lakehouse: Develop and maintain a unified data platform using Azure Databricks for efficient data storage, processing, and analysis.

Build Data Pipelines: Design, develop, and maintain scalable data pipelines; establish API integrations; implement ETL processes, and ensure data quality.

Deploy Data Technology: Use Spark, Kafka, and Airflow for large-scale data processing; test, monitor, and troubleshoot systems for smooth operation.

Collaborate: Work closely with data engineers, analysts, and scientists to optimize data workflows based on their needs.

What You'll Bring:

Development Experience: 5+ years with Python, Scala, Java, or C#. Python experience preferred.

Data Engineering Tools: 5+ years with Databricks, Snowflake, BigQuery, Spark, HIVE, Hadoop, Cloudera, or RedShift. PySpark experience preferred.

Data Architecture: Proficiency in high-performance pipeline design and mastery of guarantees like Idempotency, Fault Tolerance, and Streaming Consistency.

Containerization: Experience with Docker, Rancher, or Kubernetes.

Data Orchestration: Experience with Apache Airflow or similar tools.

Education: Bachelors degree in Computer Science or related field, or equivalent experience.

Pay Range: $126,100 - $193,325 annually. Compensation is based on factors such as knowledge, skills, experience, and location.

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Note: This applies to candidates working from unincorporated areas within Los Angeles County. First American conducts criminal history reviews in accordance with applicable laws and considers all qualified applicants, including those with criminal records. What We Offer

We embrace individuality and support diversity, equity, and inclusion as key to our success. Our People First Culture celebrates authenticity and inclusivity. You are encouraged to bring your whole self to work. We offer a comprehensive benefits package including medical, dental, vision, 401k, PTO, sick leave, and other benefits like an employee stock purchase plan.

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