Analytics Engineer: Sports Data Pipelines & Dashboards

FanDuel; Jersey City (NJ); On-site; USD 116,000 - 152,000; Full time

Benefits offered by this job

Health plans

PTO & sick leave

Annual bonus and long-term incentive

401k with up to a 5% match

Commuter benefits

Pet insurance

Job summary

FanDuel is seeking an Analytics Engineer for the Sports Modeling & Innovation team in the United States. You will design, build, and maintain data models, datasets, and visualizations used by data scientists to power business decisions.

You will bridge data from the Data Engineering team to data scientists, analysts, and stakeholders to derive insights. The ideal candidate has 3+ years in analytics/data engineering, strong SQL, Python/R, Databricks, and Tableau skills, and a passion for

Qualifications

• 3+ years of experience working in an analytics/data engineering role.
• 2+ years maintaining databases with a focus on improving data ingestion pipelines.
• Deep understanding of relational databases.
• Proficient in SQL, Databricks, R/Python, Tableau, AWS s3 buckets, command line.
• Experience building data pipelines using Python/R and Databricks is a huge advantage.

Responsibilities

• Developing pipelines to ensure fast (sometimes real time) ingestion of data into properly thought-out databases (SQL, Delta Lakes, etc.)
• Maintaining validation pipelines that flag bad or missing data and iterating on these pipelines when new databases are created
• Manage existing data transformation jobs for the Sports Modeling and Innovation team, help optimize code across our code bases, and troubleshoot any issues
• Database management – automate data cleaning projects on large data sets
• Make decisions between memory and speed tradeoffs to best optimize team’s project needs - help reduce query execution times where possible and remove unnecessary/unused metrics
• Create and own a backlog of prioritized Tableau dashboard / Rshiny app additions
• Curiosity about AI and emerging technologies is a plus

Skills

Relational databases understanding

SQL proficiency

Python/R programming

Tableau experience

Databricks experience

Command line experience

Tools

Databricks

Tableau

AWS S3

Python

R

SQL

Job description

FanDuel is seeking an Analytics Engineer for the Sports Modeling & Innovation team in the United States. You will design, build, and maintain data models, datasets, and visualizations used by data scientists to power business decisions.

You will bridge data from the Data Engineering team to data scientists, analysts, and stakeholders to derive insights. The ideal candidate has 3+ years in analytics/data engineering, strong SQL, Python/R, Databricks, and Tableau skills, and a passion for