Data Support Engineer

We are seeking a proactive and detail-oriented Data Support Engineer to join our dynamic Vision Data Engineering team in Houston supporting mission-critical data pipelines in a fast-paced energy trading environment. As part of a global support team you will provide Level 1 (L1) and Level 2 (L2) support ensuring high availability reliability and performance of our data platforms. You will collaborate closely with application development teams and business users across multiple regions to resolve and document incidents manage service requests and drive continuous improvement in support processes.

This role offers the opportunity to work in a collaborative global environment at the intersection of technology and energy trading with significant exposure to business operations and the latest data platform technologies.

Key Responsibilities:

• Provide L1 and L2 support for data pipelines including incident triage troubleshooting and resolution.
• Monitor data pipeline health performance and data flows using monitoring tools and dashboards.
• Respond to and resolve user queries issues and service requests in a timely manner maintaining high customer satisfaction.
• Escalate complex issues to L3 support or development teams ensuring clear documentation and communication.
• Perform routine operational tasks such as data monitor digest failure notifications vendor credentials management batch job monitoring and data integrity checks.
• Collaborate with business users to understand requirements and provide guidance on data related functionality and best practices.
• Maintain and update support documentation knowledge bases and runbooks.
• Identify recurring issues and contribute to root cause analysis and problem management.
• Support incident and change management processes in line with best practices.
• Participate in an on-call rotation and provide after-hours support as required.

Qualifications :

Required:

• Bachelors degree in Computer Science Information Technology Engineering or related field (or equivalent experience).
• 3 years of experience in application support preferably within the energy trading financial services or data-intensive industries.
• Strong understanding of L1/L2 support processes incident management and service desk operations.
• Experience supporting data flows & processes (e.g. data warehouses ETL pipelines reporting tools or real-time data feeds).
• Ability to understand basic Python code and write scripts to automate data quality checks.
• Proficiency with SQL for data investigation and troubleshooting.
• Familiarity with Linux/Unix and Windows operating systems.
• Experience with monitoring tools such as Datadog Splunk Grafana AppDynamics or similar.
• Strong analytical and problem-solving skills with the ability to work under pressure and prioritize effectively.
• Excellent communication skills both written and verbal with the ability to interact with technical and non-technical stakeholders.
• Customer-focused mindset with a commitment to delivering high-quality support.
• Ability to work effectively as part of a distributed worldwide team.

Preferred:

• Experience in the energy trading sector or with trading platforms.
• Experience working with AI agents
• Familiarity with scripting languages (e.g. Python Shell PowerShell) for automation and troubleshooting.
• Exposure to cloud platforms (e.g. AWS Azure) and data platform services.
• Experience with ticketing systems (e.g. ServiceNow Jira Service Desk).

Additional Information :

Comprehensive benefit coverage includes:

• Medical
• Dental
• Vision
• Paid Vacation
• 401k with company contributions
• Life insurance
• Short-term & Long-term disability

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time