Data Engineer – Growth

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

• 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

Requirements

• 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
• Strong data-modeling and warehouse-design skills
• Rigorous approach to data quality and observability
• Experience with workflow orchestration and CI/CD for data, such as Databricks Workflows or Airflow with Git-based deployment
• Comfortable using AI-assisted development tools like Claude Code or Codex
• Ability to communicate clearly and collaborate across Growth, Marketing, Analytics Engineering, and Data Science
• Ability to translate ambiguous growth questions into reliable, scalable data products
• Self-starting problem-solving approach, first-principles thinking, priority management across multiple projects, and ability to thrive in a fast-paced, results-driven environment

Core Competencies

Demonstrates expertise in building and operating scalable data pipelines using Spark and Databricks, with a strong focus on data quality, machine learning workflows, and collaboration across growth and marketing teams.

Highest-signal resume keywords

• SQL Proficiency
• Python Proficiency
• Spark Experience
• Databricks Expertise
• Data Modeling Skills

Hard Skills

• Data Pipeline Development
• Machine Learning Support
• Data Quality Assurance
• Workflow Orchestration
• CI/CD for Data

Soft Skills

• Clear Communication
• Collaboration
• Problem-Solving
• Priority Management

Industry Keywords

• Growth Marketing
• Experimentation
• Data Observability
• Attribution
• Data Warehouse Design

Tools & Technologies

• Databricks
• Delta Lake
• Dbt
• Snowflake
• Airflow