Data Support Engineer

About the role

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. This role is located in Houston, TX, and requires in-office presence 5 days a week.

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

• Bachelor’s 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 Qualifications

• 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).

Benefits

• Comprehensive benefit coverage includes: Medical, Dental, Vision, Paid Vacation, 401k with company contributions, Life insurance, Short-term & Long-term disability.