Senior Data Engineer, Ads Data (AI Native)

Location: Remote within the United States or Canada

Salary: $129,000–$192,000 USD for US-based candidates; CAD 149,500–177,500 for Canada-based candidates. Base pay varies by geographic location and experience; total compensation includes RSUs and benefits.

Company

hirify.global develops a location-based family safety platform, including a mobile app, Tile tracking devices, and Pet GPS trackers, serving more than 102 million monthly active users across over 180 countries.

What you will do

• Enhance, extend, and operate batch and streaming pipelines and Delta Lake tables on Databricks across ingestion, orchestration, storage, and serving.
• Partner with analysts, ad strategists, and sales teams to build durable datasets and reporting products for campaign performance, audiences, and revenue.
• Build dbt models and tests, own the semantic layer, and maintain trusted definitions for core business metrics.
• Manage Databricks and AWS infrastructure with Terraform; integrate data from ad platforms, CRM systems, partner feeds, and internal systems.
• Implement data quality, monitoring, lineage, SLAs, alerting, data contracts, privacy, governance, and access controls.
• Tune Spark and Databricks workloads for performance and cost, establish engineering practices, mentor engineers, and create LLM-support tools, skills, and agents.

Requirements

• 5+ years of experience in data engineering building production data platforms at enterprise scale, including ownership of data products and cross-functional collaboration.
• Deep hands-on Apache Spark expertise with PySpark and/or Scala, including partitioning, shuffles, joins, skew handling, caching, and job tuning.
• Deep Databricks knowledge, including Delta Lake, Unity Catalog, Jobs/Workflows, Databricks Asset Bundles, Structured Streaming, SQL Warehouses, autoscaling, Photon, and serverless.
• Strong SQL and Python or Scala skills; production experience with dbt model design, testing, documentation, incremental strategies, and CI/CD workflows.
• Hands-on Terraform experience and AWS knowledge, including S3, IAM, and networking fundamentals for data platforms.
• Experience with Airflow, Databricks Workflows, or similar orchestration frameworks; Git, CI/CD, reliable pipelines, and observability.
• Understanding of dimensional modeling, star schemas, medallion architecture, semantic layers, and metric definitions.
• Experience refactoring existing models and pipelines while maintaining reliability, maintainability, and downstream compatibility.
• Daily professional use of AI/LLM coding assistants such as GitHub Copilot, Cursor, or Claude Code, with disciplined review, testing, ownership, and knowledge sharing.
• Strong business communication skills; familiarity with GDPR, CCPA, SOX, and BI tools such as Domo, Tableau, or Looker.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.

Nice to have

• Experience with advertising, ad tech, or media data, including campaign delivery, attribution, audience, or revenue reporting.

Culture & Benefits

• Remote-first work environment for employees in the United States and Canada.
• Medical, dental, vision, life, and disability coverage; US employees receive medical, dental, and vision plans fully paid by the company.
• US 401(k) matching or Canadian RRSP and DPSP plans, plus paid parental leave.
• Flexible PTO, company holidays, summer and winter shutdowns, mental wellness support, and learning and development programs.
• Equipment, tools, and reimbursement support for remote work, plus hirify.global Platinum Membership and Tile trackers.

Hiring process

• AI tool usage during interviews varies by role; interview exercises may require demonstrating AI proficiency or working without AI assistance as directed by the recruiter.
• Undisclosed use of AI during the hiring process without recruiter approval may affect candidacy.