Data Engineer

About the role

Hi, We're Centerfield!

Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world’s leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield’s digital experiences and digital brands, such as Business.com http://Business.com and BroadbandNow.com http://BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.

Role Overview...

As a Data Engineer, you’ll help design the highly specialized data collection infrastructure in support of Centerfield's proprietary Data Architecture.

Core Responsibilities...

- Help design the highly specialized data collection infrastructure in support of Centerfield's proprietary Data Architecture.

- Aid the team with troubleshooting, researching the root cause, and resolving technical defects in the event of a problem.

- Help implement technical maintenance strategies for all specialized datasets.

- Work with relevant stakeholders to deliver appropriate BI, data warehousing, reporting, and analytical infrastructure required to support Centerfield's assets.

- Own problems from end-to-end in order to collect, extract, and clean the data.

Job Responsibilities...

- Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related field.

- Three (3) years of experience in the position offered, as a Data Engineer, BI Engineer, Data Warehousing Engineer, or related occupation.

- Experience with the following: - ETL tools such as Talend, SSIS, or Informatica - Google Cloud Platform, including Google Cloud Bucket, Cloud Data Fusion, BigQuery, and Google Analytics - Performance-tuning techniques - Real-time streaming implementation and architecture - Building reports and data visualization with BI tools such as Tableau or Power BI - Data organization and ETL / ELT processes - Designing resilient data pipelines - AWS and GCP technologies, including S3, SQS, Redshift, Kinesis, Google Cloud Bucket, Cloud Data Fusion, and BigQuery - Java and Python and their respective build and packaging systems - NoSQL databases such as MongoDB, DynamoDB, Druid, Hive, and Presto - Amazon Web Services, including S3, SQS, Redshift, and DocumentDB

Life at Centerfield...

- This is a hybrid position, and employees are expected to come into our Playa Vista, CA office every Tuesday, Wednesday & Thursday

- Competitive salary + semi-annual bonus

- Unlimited PTO – take a break when you need it!

- Industry-leading medical, dental, and vision plans + generous parental leave