Job description

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 business.com and BroadbandNow.com 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 - 401(k) company match plan – fully vested on day 1 - Outside patio overlooking Playa Vista + cabanas, firepits & working grills - Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA) - Fully stocked kitchens with snacks & drinks - Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes hosted by professional instructors (yoga, kickboxing & circuit training) - Free onsite gym + locker rooms - Monthly team outings (ball games, casino night, hikes, etc.) - Career growth – we enjoy promoting from within! #LI-Hybrid #LI-AA1 AI & Interview Policy At Centerfield, we use AI tools internally to support efficiency and fairness in our hiring process, including resume screening and administrative tasks. Candidates are welcome to use AI tools ethically to prepare for interviews, such as practicing responses or researching questions. However, all responses during the interview process should reflect your own knowledge, experience, and judgment. The use of AI tools to generate responses during live interviews, technical assessments, or written submissions is not permitted unless explicitly stated otherwise. To learn more, visit us Here centerfield.com. Interviews will take place after resumes have been screened for the minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change. For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at centerfield.com. Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Requirements

Must-haves

Hi, We're Centerfield!
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.
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

Nice-to-haves

Competitive salary + semi-annual bonus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave