Data Engineer

Data Engineer

This job is no longer open

Company Summary

Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development. As a market leading title insurance company, powered by the nation's largest and most complete property information, ownership and recorded document database, First American is committed to advancing title automation and removing friction from the real estate closing process. Our modern title decisioning solutions create certainty and speed through data and analytics, delivered to real estate agents, lenders, title agents and homebuyers. Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for seven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.

Job Summary

Our modern title decisioning solutions create certainty and speed through data and analytics, delivered to real estate agents, lenders, title agents and homebuyers.  We're looking for Data Engineers interested in transforming our industry by solving cutting-edge problems with modern technologies, want the benefit of working for an established real estate insurance leader and seek a culture awarded as a Fortune 100 Best Companies to Work.

What you’ll do:

● Develop ETL pipelines involving transformation of nested data stored in JSON and Parquet files, using GLUE + Pyspark

● Develop and maintain scalable data pipelines and build out new API integrations for data transfer. ● Provide guidance on data architecture for tables, indices, caching strategies, etc. to help improve performance

● Collaborate with analysts to perform data analysis and troubleshoot data issues.

Must-have:

● 1+ years of development experience with any of the following software languages: Python, R, Scala, Java, Kotlin, or C# (we use Python). ● 1+ years experience in any of the following: Snowflake, BigQuery, Databricks, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift (we use PySpark & Snowflake)

● Strong Database/SQL experience in any RDBMS (We use PostgreSQL) .

Nice-to-have:

● Experience in schema design, data ingestion/processing experience on Snowflake (or equivalent MPP)

● Experience developing in a containerized local environment like: Docker, Rancher, Kubernetes

● Experience in orchestrating data processing jobs using Step Function/Glue workflow/Apache Airflow (MWAA)

● Bachelor's degree in Computer Science (or related field) or equivalent combination of education and experience

Pay Range: $80,400 - $156,000 annually

This hiring range is a good faith and reasonable estimate of the salary range of possible compensation at the time of the posting and is subject to change. The compensation offered will be determined by various factors, including a candidate’s education, training, experience, and geographic location.

#LI-EL1

#LI-REMOTE

First American invests in its employees' development and well-being, empowers them to provide superior customer service and encourages them to serve the communities where they live and work. First American is committed to diversity and inclusion. We are an equal opportunity employer.

Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.

This job is no longer open
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