Data Engineer: Build Scalable Pipelines for Analytics

Doist; Atlanta (GA); On-site; USD 116,000 - 145,000; Full time

Benefits offered by this job

Health plans

PTO & sick leave

Annual bonus

401k with match

Commuter benefits

Pet insurance

Job summary

FanDuel Group is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure powering analytics, machine learning, and business decision-making across the company. You will own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The role emphasizes collaboration with data analysts, data scientists, and product managers; requires 3+ years in data engineering or related

Qualifications

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Collaborate with data analysts, data scientists, and product managers to deliver actionable data solutions.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
• Monitor data pipelines and troubleshoot issues to ensure data reliability.

Skills

SQL

Programming languages (Python/Java/SCM

Tools

Databricks

Airflow

dbt

Spark

Kafka

Cloud platforms (AWS/GCP/Azure)

Job description

FanDuel Group is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure powering analytics, machine learning, and business decision-making across the company. You will own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The role emphasizes collaboration with data analysts, data scientists, and product managers; requires 3+ years in data engineering or related