Trinetix
Tech / AI / Software
SQL/DataEngineer(L2)
Neural analysis suggests this role is
optimal for Mid candidates.
“SQL/Data Engineer (L2) at Trinetix. Skills: SQL, Data Engineering, Cloud Data Platforms, ETL/ELT pipelines, BI tools, Production Support. Own the data and analytics support queue. Monitor and remediate data pipelines across Azure and AWS environments”
What You'll Achieve.
ensuring stability, reliability, and performance of data pipelines and reporting systems; supporting business operations through efficient troubleshooting, monitoring, and data processing; ensure high-quality data operations and business continuity
Industry & Context.
efficient troubleshooting; query optimization; job failure diagnosis; diagnostic queries; troubleshooting; problem-solving
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
What They're Looking For.
Must Have
5+ years in data engineering or data platform support, Hands-on experience with at least 3 of: Azure, AWS, Snowflake, Databricks, English - required
Nice to Have
Production pipeline support experience is strongly preferred
What You'll Do.
Own the data and analytics support queue
Monitor and remediate data pipelines across Azure and AWS environments
Write and execute SQL scripts for data fixes
and diagnostic queries
Support Snowflake and Databricks
Maintain CI/CD pipelines supporting data operations
Handle SQL-heavy overflow tickets from application support queues
Coordinate with client data team on schema changes
and capacity planning
Perform minor data platform enhancements
Support vehicle telematics data infrastructure and related ingestion pipelines
resolving failures across cloud data platforms
and Power BI reporting
handling SQL-level data fixes and record corrections
How You'll Work.
Team & Collaboration
Collaborate on a project with a leading transportation and logistics company; Coordinate with client data team on schema changes, pipeline updates, and capacity planning
Communication Scope
client communication
Full Job Description
Trinetix is looking for a skilled **SQL/Data Engineer (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. ### **Role Overview** The SQL Senior / Data Engineer owns the data and analytics support queue and is responsible for monitoring, troubleshooting, and resolving failures across cloud data platforms, ETL/ELT pipelines, and Power BI reporting. The role also includes handling SQL-level data fixes and record corrections escalated from application support queues. **Note:** Minimum 5 years of relevant experience is required per contractual staffing requirements. ### **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 sc
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