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  3. Senior Software Engineer, Data AI Insights
Affinity logo

Senior Software Engineer, Data AI Insights

Affinity
Location not specified
Full Time
Posted January 5, 2026
Not Specified
Apply Now

Application opens on company website

Job Description

The Senior Software Engineer, Data at Affinity is responsible for designing and building scalable data pipelines and systems to process large volumes of complex data, collaborating with cross-functional teams to enhance the company's relationship intelligence platform and support strategic data initiatives.

Key Responsibilities

  • Design and build scalable, reliable data pipelines for large and complex data sources
  • Collaborate with cross-functional teams to shape data and product development roadmaps
  • Develop and maintain frameworks for monitoring data quality and integrity
  • Implement and optimize CI/CD processes, testing frameworks, and infrastructure-as-code tooling
  • Build and deploy data-intensive applications over distributed systems
  • Evaluate and recommend approaches for data pipeline and storage solutions based on product needs

Requirements

  • Six (6) years of experience as a Software Engineer or Data Engineer with at least 2-3 years in a Senior Engineering role, leading complex, and sometimes ambiguous, engineering projects across team boundaries.
  • Proficiency in designing, building, and maintaining scalable and reliable data pipelines to consume, integrate, and analyze large volumes of complex data from different sources, supporting the evolving needs of the business.
  • Proven hands-on experience with scalable and robust distributed data systems using Kafka, AWS SQS, or similar technologies.
  • Experience working with large datasets and high-scale data ingestion, transformation, and distributed processing tools such as Apache Spark.
  • Strong proficiency in SQL.
  • Experience with cloud platforms such as AWS, Databricks, GCP, Azure, or related technologies.
  • Familiarity with CI/CD processes and test frameworks.
  • Ability to partner with product and machine learning teams on large, strategic data projects.

Benefits & Perks

Health benefits covering both employee and dependents, including flexible personal sick days
Retirement plan (RRSP)
Annual education budget and comprehensive learning and development program
Wellness support including monthly reimbursements for home internet, meals, and wellness memberships
Virtual team-building activities and socials

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