TL;DR

Senior Data Engineer (DevX): Designing, implementing, and maintaining deployment and ETL pipelines for data products with an accent on integrating diverse data sources and automating complex deployment tasks. Focus on developing scalable data pipelines, monitoring performance, and ensuring high code quality.

Location: Remote from the U.S. or Canada, hybrid, or on-site in Chicago

Salary: $117,629 - $183,501 a year

Company

%hirify_global% is a product company developing cutting-edge software that automates digital media operations using AI and machine learning.

What you will do

Integrate diverse data sources and vendor products, including databases, APIs, and third-party services.
Automate repetitive and complex ETL deployment tasks to improve team efficiency.
Develop, deploy, and maintain scalable data pipelines for large volumes of data.
Implement monitoring solutions to track data pipeline performance and resolve issues.
Perform code reviews and ensure adherence to best practices and standards.
Participate in the team's support rotation.

Requirements

Strong computer science fundamentals with 5+ years of relevant experience.
Strong programming skills in Python or Java.
Proficiency with build management tools (Bazel).
Proficiency with SQL and relational databases, including Snowflake.
Proficiency with workflow orchestration engines (Apache Airflow, Argo Workflows).
Proficiency with CI/CD engines (Harness, Circle CI, Argo CI/CD, Jenkins).
Experience with containerization and orchestration tools (Docker, Kubernetes).

Culture & Benefits

Flexible work week.
401k/RRSP matching.
Mental health support.
Paid sabbaticals and generous parental leave.
Commitment to inclusivity and growth.
Recognition as a top workplace.