Sr. Data Engineer

First American Financial; Santa Ana (CA); Remote; USD 126,000 - 169,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to enhance their data engineering capabilities. You will build cloud data solutions, mentor junior engineers, and collaborate with teams to solve business problems using data. The role includes developing data pipelines and ensuring data quality, with a focus on cloud technologies. This position is open to remote candidates and offers a competitive salary range.

Benefits

Medical

Dental

Vision

401k

PTO

Sick Leave

Employee Stock Purchase Plan

Qualifications

• 5+ years of development experience with software languages.
• Hands-on experience in data security and cloud security methodologies.

Responsibilities

• Build high-performing cloud data solutions.
• Design and maintain data-intensive engineering solutions.
• Collaborate with analysts and data scientists.

Skills

Python

Scala

SQL

Agile Software Development

Tools

Apache Kafka

Fivetran

Apache Airflow

Databricks

Snowflake

BigQuery

Spark

HIVE

Hadoop

Cloudera

RedShift

Docker

Rancher

Kubernetes

Job description

Who We Are

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 nine 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.

What We Do

First American Trust is seeking a Senior Data Engineer to help develop and grow our data engineering capabilities to enhance the Strategic Product Development Organization. You will help FA Trust’s Data Engineering team make real-time decisions based on datasets, facilitate analytics on existing products, and provide insights on potential new opportunities for growth. You will partner with subject matter experts to help us solve business problems with data. You will mentor data engineers and junior data engineers by providing guidance, advice, and support in various facets of data engineering.

What you’ll do:

1. Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
2. Design, implement, test, deploy, and maintain distributed, stable, secure, and scalable data-intensive engineering solutions and pipelines in support of data and analytics projects on the cloud, including integrating new sources of data into our central data warehouse, and moving data out to applications and other destinations.
3. Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
4. Build and enhance a shared data lake that powers decision-making and model building.
5. Partner with teams across the business to understand their needs and develop end-to-end data solutions.
6. Collaborate with analysts and data scientists to perform exploratory analysis and troubleshoot issues.
7. Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
8. Build tools and processes to help make the correct data accessible to the right people.
9. Participate in active rotational support role for production during or after business hours supporting business continuity.
10. Engage in collaboration and decision-making with other engineers.
11. Experience with or knowledge of Agile Software Development methodologies.

What you’ll bring:

• 5+ years of development experience with software languages such as Python or Scala, and SQL, with cloud experience (Azure preferred or AWS).
• Hands-on experience in data security and cloud security methodologies, including configuration and management to meet compliance and security requirements.
• Experience creating and maintaining data-intensive distributed solutions involving data warehouses, data lakes, and analytics in a cloud environment.
• Proven experience with Data Analytics architectures, including data warehouses and data lakes, designed in the cloud.

• Experience with Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar.
• Experience with tools like Databricks, Snowflake, BigQuery, Spark, HIVE, Hadoop, Cloudera, or RedShift.
• Experience developing in containerized environments such as Docker, Rancher, or Kubernetes is preferred.

Data Modeling

• Design schemas and data pipelines for ETL processes from various sources into data warehouses or lakes.
• Create and optimize database structures for large data volumes.
• Evaluate data trends and model solutions for current and future business needs.
• Implement data cleansing and oversee data quality.
• Drive development and continuous improvement of cloud-based enterprise data warehouse architecture.

*Open to remote candidates*

The pay range for this role is $126,100.00 - $168,150.00

This range is an estimate based on various factors including experience, skills, and location.

Disclaimer

The statements describe the general nature of the work and are not exhaustive of all responsibilities and skills required. Duties outside normal hours may be required.

What We Offer

We embrace diversity, equity, and inclusion, supporting you to bring your full self to work. We are an equal opportunity employer.

Note: For candidates working from unincorporated areas within Los Angeles County, additional considerations apply regarding criminal history and employment eligibility.

Our benefits include medical, dental, vision, 401k, PTO, sick leave, and an employee stock purchase plan.