Growth Data Engineer: Spark, Databricks & ML Pipelines

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a data engineer to design, build, and own scalable Spark/Databricks pipelines for ad bidding and paid acquisition optimization across Google, Meta, and LinkedIn. You will develop measurement layers and feature datasets for ML models, ensure data quality, and partner across Growth, Marketing, Analytics Engineering, and Data Science.

The role emphasizes end-to-end data platforms, observability, and collaboration to improve performance, cost efficiency, and developer experience

Qualifications

• 3+ years of experience building and operating production data pipelines and data platforms.
• Experience with growth, marketing, or experimentation use cases is ideal.
• Highly proficient in SQL and Python.
• Deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse such as Databricks, Delta Lake, dbt, Snowflake, or similar.
• Experience supporting machine learning workflows end-to-end, including feature pipelines and training and inference datasets.

Responsibilities

• Design, build, and own scalable Spark/Databricks data pipelines for ad bidding and paid acquisition optimization across Google, Meta, and LinkedIn
• Build and maintain feature and training datasets for bid optimization, budget allocation, and audience-targeting machine learning models
• Help productionize machine learning models with Data Science
• Develop measurement, attribution, and experimentation data layers for web and landing-page optimization
• Model growth and marketing data into clean, documented, reusable tables for analysts and data scientists
• Own data quality, freshness, and reliability for growth-critical datasets through automated checks, monitoring, and alerting
• Partner with Growth, Marketing, Analytics Engineering, and Data Science to translate business questions into robust data models and trustworthy metrics
• Improve the performance, cost efficiency, and developer experience of the growth data platform
• Own growth-critical systems end-to-end and influence the roadmap

Skills

SQL Proficiency

Python Proficiency

Spark Experience

Databricks Expertise

Data Modeling Skills

Tools

Databricks

Delta Lake

Dbt

Snowflake

Airflow

Job description

Jobtailor is seeking a data engineer to design, build, and own scalable Spark/Databricks pipelines for ad bidding and paid acquisition optimization across Google, Meta, and LinkedIn. You will develop measurement layers and feature datasets for ML models, ensure data quality, and partner across Growth, Marketing, Analytics Engineering, and Data Science.

The role emphasizes end-to-end data platforms, observability, and collaboration to improve performance, cost efficiency, and developer experience