At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

We are looking for a talented and experienced Data Operations Engineer to join our team. Bridgenext is seeking a Data operations engineer with deep expertise in Snowflake and Apache Airflow, who is also ready to take on infrastructure and operational responsibilities.

You would be working in Central US Business hours, and you would also be part of the team which provides on-call support for high priority production issues.

Key Responsibilities:

• Data Pipeline & Workflow Management: Design, build, schedule, monitor, and optimize data ingestion and transformation workflows using Apache Airflow, including DAG development, dependency management, retries, and failure handling.
• Snowflake Data Warehousing: Support Snowflake development and operations, including data modeling, schema management, performance tuning, warehouse optimization, data loading, and troubleshooting production data issues.
• Airflow Operations & Reliability: Maintain, troubleshoot, and enhance Airflow workflows by investigating DAG failures, improving task observability, strengthening alerting, and ensuring reliable pipeline execution during business hours and on-call rotations.
• Infrastructure & CI/CD Growth: Partner with platform teams to contribute to our GitHub CI/CD workflows, Pull Request reviews, and Terraform-managed infrastructure (module maintenance).
• Monitoring & Reliability: Maintain and improve monitoring and alerting infrastructure using tools like New Relic, Grafana, and PagerDuty to ensure pipeline health.
• Container Maintenance: Troubleshoot and support existing Kubernetes/Helm deployments with guidance from senior platform engineers.
• Operational Excellence: Write clear runbooks to document operational procedures, replacing tribal knowledge with structured guides.
• Automation: Utilize Python to build helper scripts, automate data processing tasks, and streamline infrastructure management.

Must Have Skills (Core Data Focus):

• Snowflake: Extensive experience managing Snowflake environments, performance tuning, and data loading.
• Apache Airflow: Proven track record of building, scheduling, and troubleshooting complex DAGs and pipelines.
• Databases: Strong working knowledge of relational databases such as MS SQL and Postgres.
• Streaming & CDC (Nice to have / Exposure): Familiarity with Kafka Connect and Debezium.

Preferred Skills (DevOps Exposure & Willingness to Learn):

• Version Control: Comfortable using GitHub for code management, branching strategies, and PR reviews.
• Infrastructure as Code: Foundational understanding of Terraform (willingness to build and maintain modules).
• Observability: Experience or familiarity with alerting and monitoring platforms (New Relic, Grafana, PagerDuty).
• Containerization: Basic familiarity with maintaining or troubleshooting Kubernetes and Helm charts.
• Cloud & Scripting: Working knowledge of AWS or Azure, paired with strong Python scripting skills.

Bridgenext is an Equal Opportunity Employer

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