Senior Data Engineer: Architect Scalable Data Pipelines

Doist; Atlanta (GA); Hybrid; USD 138,000 - 181,650; Full time

Job summary

FanDuel is seeking a Senior Data Engineer to design and build scalable data pipelines and platforms powering analytics, ML, and business operations. You will be a hands-on contributor shaping the data foundation, collaborating with engineers, analysts, product managers, and data scientists to deliver reliable data solutions.

The ideal candidate has 5+ years of data engineering experience, strong SQL, and hands-on experience with Airflow, Spark, dbt, Kafka, or Databricks.

Qualifications

• 5+ years of experience building data pipelines and platforms.
• Strong SQL and at least one major programming language (Python/Scala/Java).
• Experience with Airflow, Spark, dbt, Kafka, or Databricks.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for analytics, ML, and operations.
• Build modular data models and reusable assets; ensure data quality and observability.
• Collaborate with data scientists, analysts, and product teams; participate in design reviews.
• Promote engineering best practices, testing, version control, and documentation.

Skills

SQL

Python

Scala/Java

Data pipelines

Data modeling

Cloud platforms

Tools

Airflow

Spark

dbt

Kafka

Databricks

Job description

FanDuel is seeking a Senior Data Engineer to design and build scalable data pipelines and platforms powering analytics, ML, and business operations. You will be a hands-on contributor shaping the data foundation, collaborating with engineers, analysts, product managers, and data scientists to deliver reliable data solutions.

The ideal candidate has 5+ years of data engineering experience, strong SQL, and hands-on experience with Airflow, Spark, dbt, Kafka, or Databricks.