TL;DR

Staff Data Engineer (Data Science ML): Building and leading the development of scalable batch and streaming data pipelines and platforms with an accent on reliability, observability, and architectural best practices. Focus on designing and mentoring, solving complex data infrastructure challenges, and driving technical leadership in a cloud environment.

Location: Remote (US) with authorization to work lawfully in the United States required and no immigration sponsorship.

Salary: $170,400 - $306,720 USD annually depending on location tier.

Company/Компания

%hirify_global% is a product company focused on innovative scheduling and productivity software solutions.

What you will do/Что делать

Design and build new batch and streaming data pipelines powering analytics and customer experiences.
Serve as technical lead for the Data Platform team, mentoring engineers and driving architectural best practices.
Ensure scale and reliability with robust monitoring, alerting, and self-healing systems.
Work hands-on with modern data stack technologies including Apache Flink, Beam, Airflow, Kubernetes, GCS, BigQuery, and Datadog.
Collaborate with product, engineering, and analytics teams to deliver scalable, reusable data solutions.
Contribute to a culture of ownership, quality, and continuous improvement of the Data Platform.

Requirements/Требования

Must be authorized to work lawfully in the United States; no immigration sponsorship provided.
5+ years experience with streaming and messaging systems like Beam, Flink, Spark, Kafka, or Pub/Sub.
8+ years experience managing enterprise-grade cloud data warehouses (BigQuery, Snowflake, Databricks) with change-data-capture strategies.
Expertise in SQL, Python, and ideally Java.
Experience mentoring engineers and contributing to team culture and best practices.
Availability for on-call rotation to respond to critical alerts outside regular hours.

Nice to have/Хорошо, если есть

Experience with Debezium or similar open-source CDC systems.

Culture & Benefits/Культура и преимущества

Opportunity to impact millions of users and grow career in a fast-growing product company.
Quarterly corporate bonus program and equity awards.
Remote work with pay tiers based on geographic location.