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Data Engineer

Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for leading brands through their proprietary Dugout platform.
$80,000 - $120,000
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS · AI

Description For Data Engineer

Centerfield, a leading Los Angeles-based online advertising agency, is seeking a Data Engineer to join their innovative team. This role offers an exciting opportunity to work on cutting-edge advertising technology and data solutions. The position combines technical expertise in data engineering with leadership responsibilities, as you'll be instrumental in designing data science programs and building a team of technical professionals.

The role requires a strong background in data engineering, with at least 3 years of experience in related roles. You'll work with modern technologies including Google Cloud Platform, AWS, and various ETL tools. The position demands expertise in data pipeline design, real-time streaming, and experience with both SQL and NoSQL databases. Python and Java knowledge is essential for success in this role.

Centerfield offers an attractive hybrid work environment in their Playa Vista, CA office, requiring in-office presence Tuesday through Thursday. The compensation package is competitive, ranging from $80,000 to $120,000 annually, complemented by a comprehensive benefits package including unlimited PTO, excellent healthcare coverage, and a 401(k) with immediate vesting.

The company culture is award-winning, recognized by Built in LA as a Best Place to Work in Los Angeles. The office environment is modern and engaging, featuring amenities like an outside patio, fully stocked kitchens, and an onsite gym. Regular team events, catered lunches, and professional development opportunities make this an ideal workplace for those seeking both technical challenges and a positive work culture.

This role is perfect for a data professional who wants to make a significant impact in digital marketing and advertising technology while working with large-scale data sets and modern cloud technologies. The position offers both technical depth and leadership opportunities, making it an excellent choice for career growth in the data engineering field.

Last updated 8 days ago

Responsibilities For Data Engineer

  • Design data science programs, persona, machine learning models, and architecture to support Generative AI
  • Build a team of data scientists, machine learning engineers, and Architects
  • Implement maintenance strategy for all datasets
  • Work with stakeholders to deliver BI, data warehousing, reporting, and analytical infrastructure
  • Own problems from end to end for data collection, extraction, and cleaning

Requirements For Data Engineer

Python
MongoDB
Java
  • 3+ Years working in a Data Engineer, BI Engineer, or Data Warehousing Engineer role
  • Strong experience with ETL tools like Talend or SSIS or Informatica
  • Experience with Google Cloud Platform
  • Strong experience in performance-tuning techniques
  • Experience with Realtime streaming implementation and architecture
  • Experience with BI tools like Tableau, Power BI
  • Strong foundation in data organization and ETL/ELT processes
  • Experience with AWS & GCP technologies
  • Working knowledge of Java/Python
  • Experience with NoSQL databases
  • Ability to lead projects individually and deliver them on time

Benefits For Data Engineer

401k
Dental Insurance
Medical Insurance
Vision Insurance
Parental Leave
  • Competitive salary + semi-annual bonus
  • Unlimited PTO
  • Industry-leading medical, dental, and vision plans
  • Generous parental leave
  • 401(k) company match plan - fully vested on day 1
  • Outside patio with cabanas, firepits & working grills
  • Monthly happy hours and catered lunches
  • Daily food trucks
  • Fully stocked kitchens with snacks & drinks
  • Free onsite gym + locker rooms
  • Weekly in-office exercise classes
  • Paid charity and volunteer days
  • Monthly team outings

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