[Hiring] SQL Senior / Data Engineer + Power BI (L2) @Trinetix

Role Description

Trinetix is looking for a skilled SQL Senior / Data Engineer + Power BI (L2). Join our team at Trinetix and collaborate on a project with a leading transportation and logistics company in North America, operating a large-scale fleet and relying on complex data platforms and real-time analytics.

In this role, you will contribute to maintaining and improving critical data infrastructure by ensuring stability, reliability, and performance of data pipelines and reporting systems. You will work with cloud data platforms, ETL/ELT pipelines, and BI tools, supporting business operations through efficient troubleshooting, monitoring, and data processing.

The role combines strong SQL expertise, data engineering practices, and a production support mindset to ensure high-quality data operations and business continuity. Join us and grow your career in a dynamic international environment while working on large-scale data systems.

Responsibilities

• Own the data and analytics support queue: pipeline failures, ETL/ELT errors, Power BI dashboard issues
• Monitor and remediate data pipelines across Azure and AWS environments
• Write and execute SQL scripts for data fixes, record corrections, and diagnostic queries
• Support Snowflake and Databricks: query optimization, job failure diagnosis, cluster management
• Maintain CI/CD pipelines supporting data operations (Tier 1 monitoring, Tier 2 remediation)
• Handle SQL-heavy overflow tickets from application support queues (HUB-Report, data corrections)
• Coordinate with client data team on schema changes, pipeline updates, and capacity planning
• Perform minor data platform enhancements as assigned (up to 80 engineering hours)
• Support vehicle telematics data infrastructure and related ingestion pipelines

Qualifications

• 5+ years in data engineering or data platform support (mandatory)
• Hands-on experience with at least 3 of: Azure, AWS, Snowflake, Databricks
• Production pipeline support experience is strongly preferred

Requirements

• Cloud & Data Platforms
• Azure: Data Factory, Azure SQL, Synapse Analytics — 5+ years required
• AWS: S3, RDS, Glue — data pipeline and infrastructure support
• Data Engineering & Pipelines
• Snowflake: query writing, data loading, performance troubleshooting, Snowpipe
• Databricks: notebook execution, cluster management, job failure diagnosis, Delta Lake basics
• Pipeline tools: Apache Airflow or Azure Data Factory — DAG/pipeline monitoring and repair
• BI & Reporting
• Power BI: dashboard connectivity, data source troubleshooting, refresh failures, DAX basics
• Programming & Tools
• SQL: advanced — complex queries, stored procedures, performance tuning across SQL Server and cloud DBs
• Python: scripting for data transformation, automation, and diagnostic tasks
• Version control: GitLab — CI/CD pipeline basics for data workflows

On-Call Requirements

• On-call rotation - data incidents
• Covers P1/P2 data pipeline and platform failures outside business hours
• Shared rotation between Ukraine and Argentina Data Engineers (approx. every other week per person)
• Activation required when critical pipeline failures impact business operations or reporting
• Response expected within 1 hour of activation
• On-call compensation applies per company policy