FanDuel
Technology
PrincipalDataEngineer
“Principal Data Engineer at FanDuel. Skills: Data Engineering, Data Architecture, Data Pipelines. Design data solutions. Build data solutions”
What You'll Achieve.
Power analytics; Power machine learning; Power business operations; Drive business outcomes
Industry & Context.
Problem solving
What They're Looking For.
Must Have
5+ years data engineering, Experience with Spark, Experience with dbt, Experience with ETL/ELT pipelines, Experience with batch and streaming data pipelines, Experience with large-scale datasets, Experience with database performance analysis, Unit testing knowledge, Experience with CI/CD tools, Problem-solving skills, Ability to work independently
Nice to Have
Experience working in Agile environments, Experience supporting analytics, Experience supporting machine learning workflows, Familiarity with data governance, Familiarity with data privacy, Familiarity with compliance frameworks, Experience working in a product-led organization, Experience working in a customer-centric organization, Familiarity with infrastructure-as-code, Familiarity with DevOps practices
What You'll Do.
Design data solutions
Implement data pipelines
Implement data architectures
Define data engineering standards
Define data product design standards
Define pipeline orchestration standards
Translate requirements into data solutions
Enforce engineering best practices
Contribute to data platform evolution
Lead technical design reviews
Identify architectural bottlenecks
Resolve architectural bottlenecks
Propose platform improvements
Improve data observability
Improve system reliability
Act as technical liaison
Evaluate new technologies
Onboard new technologies
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Work with complex datasets
Ensure data accessibility
Develop batch pipelines
Develop streaming pipelines
Develop data platforms
Build reusable data models
Build reusable data assets
Understand business needs
Translate needs into solutions
Ensure data consistency
Promote software engineering best practices
Participate in technical design discussions
Participate in architecture reviews
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Data engineering teams; Analytics teams; Data science teams; Engineering teams; Product teams; Analytics teams
Communication Scope
Explain technical concepts
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