Senior Data Engineer
BayOne Solutions
About the Team & the Role
What You'll Do
Qualifications
Required
Nice-to-Have Skills:
- The Core Data team builds and scales a best-in-class data platform and analytics capabilities that power decision-making across R|V Tech. Within Core Data, the Operational Insights team focuses on production environments: we turn rich operational and quality signals into trusted data products and metrics that help improve business processes and performance.
- As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.
- This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.
What You'll Do
- Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
- Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
- Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
- Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
- Collaborate with analytics engineers and product teams to turn models into high-value data products powering analytics applications.
- Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably Client and query operational data.
- Drive improvements in upstream systems and schemas to reduce data issues at the source.
Qualifications
Required
- 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
- Strong expertise in SQL and Python for building scalable data pipelines and transformations.
- Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
- Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
- Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
- Experience designing and operating production-grade data pipelines with monitoring and observability.
- Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
Nice-to-Have Skills:
- Experience working with manufacturing, MES, quality, or operational data.
- Familiarity with Fivetran connector management and ingestion architecture.
- Experience with data contracts and schema governance.
- Experience building semantic layers or governed analytical datasets.
- Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
- Experience enabling AI or advanced analytics use cases on top of operational data.
- Knowledge of streaming or near-real-time data pipelines.
Vacancy posted 4 days ago
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