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YLD

Senior Data Engineer

YLD

. Build core infrastructure software, including pipelines, APIs, and data modelling, for a client data platform team .

Posted 11/6/2026contractRemoteSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building core infrastructure software, including data pipelines and APIs, while applying strong problem-solving skills and a customer-focused mindset. Proven ability to mentor engineers and collaborate effectively with leadership to deliver high-quality solutions.

Highest-signal resume keywords
Python ProgrammingData Pipeline DevelopmentSQL Performance OptimizationCloud Monitoring ToolsMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonData ModellingSQLDbtKafkaSparkAWS KinesisAWS LambdaApache AirflowPerformance Monitoring
Soft Skills
Problem-SolvingCustomer FocusCommunication SkillsCollaborationOwnership
Tools & Technologies
CloudWatchDatadog
Industry Keywords
Data Access PatternsBatch ProcessingData StreamingDynamic Production Environment

Tech Stack

Tools & technologies
AirflowApacheAWSKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Build core infrastructure software, including pipelines, APIs, and data modelling, for a client data platform team
  • Instrument systems for performance and enhancement
  • Deliver data offerings to internal and external stakeholders using secure authentication patterns
  • Choose and implement technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption
  • Apply knowledge of the client's business domain
  • Coach and mentor other engineers to support their technical growth
  • Collaborate with engineering leadership and architects to deliver high-quality solutions

Requirements

What you’ll need
  • Proven experience writing highly maintainable, performant Python code
  • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow or similar
  • Understanding of data modelling patterns
  • Deep knowledge of complex SQL, including Common Table Expressions and window functions, with emphasis on performance
  • Experience with end-to-end monitoring and alerting using CloudWatch, Datadog, or similar
  • Problem-solving skills balancing innovation with pragmatic technology choices
  • Comfortable working in a dynamic production environment and managing client expectations
  • Distinct customer focus and quality mindset
  • Experience working closely with engineering leadership and architects
  • Experience maintaining a high degree of ownership and transparency in deliverables
  • Exceptional communication skills, able to communicate complex ideas simply

Benefits

Comp & perks
  • Remote-first working environment
  • Flexible working
  • Work-life balance
  • Equal-opportunity employer
  • Diversity and inclusion commitment