IT Data Engineer II (Azure/Databricks)

Location: United States; remote eligible. The role is based in Anchorage, Alaska, and may require occasional travel between retail stores, offices, worksites, or other locations.

Salary: $77,622–$128,852 per year.

Company

hirify.global provides critical telecommunications and related services to Alaskans in a 24/7 operating environment.

What you will do

• Design, build, maintain, and test scalable data pipeline architecture for analytics and advanced data workloads.
• Develop ETL/ELT pipelines and infrastructure for extracting, transforming, validating, and delivering data from diverse sources.
• Build analytics tools that support customer acquisition, operational efficiency, and other business performance metrics.
• Tune SQL queries and optimize data pipelines and infrastructure for performance, scalability, and cost efficiency.
• Investigate complex data issues, perform root cause analysis, document solutions, and improve data delivery processes.
• Work with cross-functional stakeholders and educate users on data usage, literacy, and governance practices.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, with a high school diploma or equivalent.
• At least four years of experience in corporate data analytics, real-time analytics, visualization, data collection, data pipelines, or a related area.
• Strong SQL skills and comprehensive knowledge of data engineering and software development principles.
• Experience with at least one programming language, data query tools, software design principles, agile methodology, and CI/CD.
• Knowledge of data modeling, metadata management, Lakehouse architecture, data quality, security, and lifecycle management.
• Ability to work assigned shifts, including occasional weekends, holidays, or after-hours emergency support.

Nice to have

• Experience with relational and non-relational databases and batch data sources.
• Experience with Azure-based data solutions.
• Hands-on experience with Databricks, Delta Lake, Spark Declarative Pipelines, Spark Structured Streaming, and Lakeflow Connect.
• Experience with modern data architectures, including Medallion Architecture.
• Relevant telecommunications or job-specific certifications.

Culture & Benefits

• Work in a professional, collaborative, and results-driven environment with cross-functional teams.
• Virtual workers must comply with remote work policies and agreements.
• Continuous learning and role-specific training are supported.
• The role operates within a 24/7 critical-services environment and may require emergency availability outside core business hours.
• Equal employment opportunities are provided in accordance with applicable state and federal law.