Senior Data Engineer

TL;DR

Senior Data Engineer (Data Pipelines): Joining the team to migrate data infrastructure to a new architecture and help shape the future of the data platform. Focus on building automation tools, improving performance, and ensuring data pipeline resilience.

Location: Remote-friendly & Flexible working hours. The flexibility is incredible, performance is based on output, rather than hours spent working, you can be wherever you want!

Company

hirify.global's mission is to make the world more active through creativity, collaboration, and a passion for solving complex problems.

What you will do

• Lead and execute the migration from Firebase-BigQuery-Looker to a self-hosted stack.
• Design, develop, and optimize scalable, high-performance data pipelines.
• Automate data processing and workflow orchestration.
• Enhance data infrastructure reliability, scalability, and cost-efficiency.
• Collaborate with engineers and analysts to define best practices for data processing, storage, and governance.
• Develop internal tools for data quality monitoring, lineage tracking, and debugging.

Requirements

• Expertise in Data Engineering with experience in building, maintaining, and optimizing ETL/ELT pipelines.
• Strong Coding Skills: Proficiency in Python and SQL for data processing and analytics.
• Distributed Systems Experience: Hands-on experience with Kafka, Trino, ClickHouse, Spark, or similar.
• Cloud & Storage: Experience with S3 or equivalent object storage solutions.
• Infrastructure & Tooling: Proficiency with Docker, Kubernetes, Git, and CI/CD pipelines.
• Orchestration & Automation: Familiarity with workflow orchestration tools like Airflow or dbt.
• Analytical Thinking: Ability to optimize system performance and troubleshoot complex data issues.
• Self-Starter Mentality: Comfortable working in a fast-paced, evolving environment with minimal supervision.
• English: Fluent is required to ensure smooth collaboration within the team.

Nice to have

• Experience with Snowplow for event tracking and data collection.
• Knowledge of data governance and security best practices.
• Familiarity with machine learning pipelines and real-time analytics.

Culture & Benefits

• Remote-friendly & Flexible working hours.
• Apple devices for work.
• Team buildings abroad in exciting locations.
• Health insurance coverage.
• WellBeing program, which supports up to 2 counseling sessions per month.
• Unlimited time-off policy.