Company Name: Centerfield

Job Details: Hiring,Remotely,in,United,States,Remote,or,Hybrid,100K-150K,Annually,Senior,level

Job Url: https://builtin.com/job/senior-data-engineer/8008103

Job Description: 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...We’re looking for a full-time data expert to own our data pipelines, warehouse, reporting, and analytics. This person will be responsible for building a reliable data foundation and turning raw data into clear, actionable insights that support decisions across marketing, operations, and finance.This is a hands-on individual contributor role for someone who is comfortable working end-to-end, from ingestion and modeling to BigQuery performance and stakeholder-facing reporting.How You'll Contribute...Build and maintain data pipelines from MySQL and external sources into BigQueryOwn CDC ingestion using Google Cloud Datastream and API or batch ingestion with dltDesign and manage BigQuery tables with proper partitioning and clustering to ensure performant, cost efficient queriesBuild and maintain transformations and analytics models in dbt using staging, intermediate, and mart layersOrchestrate scheduled and incremental pipelines using DagsterDevelop and maintain dashboards and automated reports used by marketing, operations, and financePartner with stakeholders to define KPIs and translate business questions into data insightsEnsure data quality, reliability, and consistency across the analytics stackSupport forecasting, budgeting, and performance analysis with trusted dataWhat We're Looking For...5 or more years of experience in data engineering, analytics engineering, or business intelligenceStrong SQL and Python skillsHands-on experience with BigQuery, including query optimization, partitioning, and clusteringExperience working with modern data stacks, including dbt and an orchestration tool such as Dagster or AirflowStrong understanding of data modeling, incremental processing, and ETL best practicesAbility to clearly explain data concepts to non-technical stakeholdersSelf-directed, organized, and comfortable owning systems independently in a remote environmentBonus Points… Experience with performance or marketing analyticsFamiliarity with attribution modeling or predictive analyticsExperience working with CDC pipelines and large append-only datasetsExposure to Elasticsearch or evaluating migrations to analytics engines such as ClickHousePrior experience in high-growth or data-driven environmentsLife at Centerfield...Competitive salary + generous semi-annual bonusUnlimited PTO – take a break when you need it!Industry-leading medical, dental, and vision plans + generous parental leave401(k) company match plan – fully vested day 1Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA)Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.)Career growth – we enjoy promoting from within!#LI-CC1#LI-RemoteTo learn more, visit us Here.Interviews will take place after resumes have been screened for minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.