Looking for a hands-on Data Support Engineer to help keep data pipelines, applications, and integrations running smoothly in a fast-paced production environment? This role offers the opportunity to troubleshoot complex technical issues, support incident resolution, and contribute to the reliability of critical data operations.

Responsibilities

• Monitor data pipelines, scheduled jobs, applications, and integrations to identify issues quickly.
• Investigate and resolve day-to-day production support incidents involving data movement, transformations, and processing.
• Review logs, error messages, API responses, and data outputs to diagnose root causes.
• Use Python and SQL to validate data, troubleshoot failures, and support issue resolution.
• Support both batch and real-time data processing environments.
• Track job failures, delays, and other operational issues, then document findings clearly.
• Follow established SOPs, troubleshooting steps, and support processes to ensure consistent resolution.
• Escalate complex issues to higher-tier support with complete investigation details and context.
• Maintain accurate ticket updates and communicate status changes to stakeholders in a timely manner.
• Contribute to knowledge-sharing by identifying recurring issues and helping improve support documentation and SOPs.
• Assist with production deployments and post-deployment validation when needed.

Skills

• 3+ years of experience in data engineering, application support, or a related technical support role.
• Strong hands-on experience with Python.
• Solid SQL skills for querying, validation, and troubleshooting.
• Working knowledge of data pipelines, ETL/ELT workflows, ingestion, and transformation processes.
• Basic to strong understanding of PySpark or Apache Spark.
• Experience working with APIs and data integrations.
• Comfort working with logs, monitoring tools, and production troubleshooting.
• Ability to perform initial root-cause analysis and document findings clearly.
• Strong communication, problem-solving, and analytical thinking skills.
• Ability to work independently, manage priorities, and support SLA-driven environments.

Preferred Skills

• Experience in production support, incident management, problem management, or change management.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with tools such as Databricks, Airflow, Snowflake, Kafka, or similar platforms.
• Knowledge of Cognite Data Fusion (CDF), including APIs, data models, pipelines, and integrations.
• Experience working in 24x7 support environments or rotational shifts.
• Background in Agile delivery environments.
• Awareness of data quality and monitoring best practices.
• Interest in continuously improving support processes, documentation, and operational reliability.

Horizontal is committed to building an inclusive environment where people of all backgrounds can thrive. We value diversity, equity, and inclusion as core principles and welcome candidates who bring different perspectives, experiences, and approaches to the team.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.