Data Engineer

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 and 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.

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

How You'll Contribute...

· 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 to implement technical maintenance strategies for all specialized datasets.

· Work with relevant stakeholders to deliver appropriate Bl (Business Intelligence), 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.

What We're Looking For...

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

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

· Must have experience with the following:

o ETL (Extract, Transform, Load) tools such as Talend, SSIS (SQL Server Integration Services) or Informatica;

o Google Cloud Platform (GCP) (Google cloud bucket, Google cloud fusion, Google Big Query, and Google Analytics);

o Performance-tuning techniques;

o Realtime streaming implementation and architecture;

o Building reports and data visualization with any BI tool such as Tableau or Power BI;

o Data organization and experience with ETL/ELT (Extract, Transform, Load /Extract, Load, Transform) processes;

o Designing resilient data pipelines;

o AWS (Amazon Web Services) and GCP technologies (S3, SQS, Redshift, Kinesis, Google cloud bucket, cloud data fusion, Google Big Query);

o Java and Python and their respective build and packaging systems;

o NoSQL (not only Structured Query Language) databases such as MongoDB, DynamoDB, Druid, Hive, and Presto; and

o Amazon Web Services (S3, SQS, Redshift, and DocumentDB).

Employer: Centerfield Media Holding Company

Office Address: 12130 Millennium Drive, Suite 600, Los Angeles, CA 90094

Any interested applicant may click on the APPLY FOR THIS JOB button or send resume to: usrecruiting@centerfield.com. Ref: 00062637. An EOE.

Life at Centerfield...

· This is an on-site position, and employees are expected to work in our Los Angeles, CA office.

· 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

· Monthly happy hours, catered lunches + daily food trucks

· 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

· Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.)

· Monthly team outings (ball games, casino night, hikes, etc.)

· Career growth – we enjoy promoting from within!

#LI-DNI

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 k