> Markdown version of [/jobs/ext/4259463-data-engineer](https://www.wearedevelopers.com/jobs/ext/4259463-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** CENTERFIELD VENTURES, LLC
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, BigQuery, Computer Engineering, Data Architecture, Data Files, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Amazon DynamoDB, Google Analytics, Apache Hive, MongoDB, NoSQL, Performance Tuning, Power BI, Cloud Data Fusion, Data Streaming, Tableau (Software), Google Cloud, Information Technology, Druid, Data Management, Presto, Amazon Simple Queue Service (SQS), Data Pipelines, Amazon Redshift
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-los-angeles-ca--cc20bc5d-0bc7-48a0-8f5a-9582843595f2

## About the Role

Customer Acquisition, Marketing Software, Insurance, Online Marketing, B2B eCommerce, Data Collection, Identify Issues, Data Sets, Technical Strategy, Data Warehousing, * 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

## Description

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., + 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.