Job at a glance
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 Senior Data Engineer, you’ll build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms. How You'll Contribute... Build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms.
Own and drive large-scale software migrations such as Snowflake to BigQuery, including downstream reporting transitions to Looker. Design and implement scalable, reliable software data pipelines supporting business analytics. Serve as a subject matter expert (SME) for software data flows, pipelines, and reporting logic. Ensure operational stability and data quality during critical business periods (e.g., AEP (Annual Enrollment Period)), diagnosing and resolving software production issues.
Proactively identify data dependencies, risks, and optimization opportunities across software systems. Partner with analytics, BI (Business Intelligence), and business stakeholders to deliver trusted, performant data solutions. Provide technical guidance to peers and help raise overall software engineering standards across the team. Take ownership of projects from design through production, including documentation and knowledge transfer.
What We're Looking For... Master’s degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field. Three (3) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation. Must have experience with the following: Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms; Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration; BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments; Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting; SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues; Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments; Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources; Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems; Data warehousing concepts, including dimensional modeling, performance optimization, and cost-aware design in cloud data platforms; Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (one of the following: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure)