Data Engineer — Real-Time Pipelines & BI (Hybrid)

Centerfield; Los Angeles (CA); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive salary + semi-annual bonus

Unlimited PTO

401(k) company match

Fully stocked kitchens

Job summary

Centerfield is seeking a Data Engineer to design and support our advanced data collection infrastructure for its proprietary Data Architecture. You’ll work on end-to-end data ingestion, cleaning, and pipeline resilience.

You will collaborate with BI, warehousing, and analytics teams to provide reporting capabilities using Tableau or Power BI, while applying AWS and GCP tech in a hybrid Playa Vista, CA setting.

Qualifications

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

Responsibilities

• Design specialized data collection infrastructure
• Troubleshoot and resolve defects
• Implement maintenance strategies for datasets
• Deliver BI, data warehousing, reporting infrastructure
• Own problems end-to-end to collect, extract, and clean data

Skills

ETL design

Real-time streaming

Data pipelines

Python

Java

BigQuery

BI tools (Tableau/Power BI)

NoSQL databases

AWS data services

Education

Bachelor’s degree in CS/CE or related field

Tools

Talend

SSIS

Informatica

Google Cloud Platform

BigQuery

Tableau

Power BI

S3

Redshift

Kinesis

DynamoDB

MongoDB

Presto

Job description

Centerfield is seeking a Data Engineer to design and support our advanced data collection infrastructure for its proprietary Data Architecture. You’ll work on end-to-end data ingestion, cleaning, and pipeline resilience.

You will collaborate with BI, warehousing, and analytics teams to provide reporting capabilities using Tableau or Power BI, while applying AWS and GCP tech in a hybrid Playa Vista, CA setting.