Senior Data Engineer – Databricks & DataOps Lead

Rearc; Oregon; Ibrido; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Rearc is seeking a Senior Data Engineer to serve as the technical anchor on client data engagements, designing and productionizing scalable data pipelines and lakehouse architectures on Databricks. You will write code, review implementations, and set engineering standards for production systems.

You will collaborate with client data leadership, mentor engineers, and promote DataOps practices. The role requires deep Spark expertise, Python/Scala skills, and multi-cloud experience across AWS,

Competenze

• 6+ years of hands-on data engineering experience in production systems.
• Expert-level Spark including runtime internals, performance tuning and optimization.
• Production-quality Python code; Scala is a strong plus for Spark work.
• Databricks, Delta Lake architectures, Unity Catalog governance, and Workflows.
• Experience across at least two major cloud platforms (AWS/Azure/GCP).
• A DataOps mindset with CI/CD, testing, observability, and IaC as standard practice.
• Experience with ETL/ELT, data warehousing, lakehouse architecture, and data modeling.
• Strong communication with both technical and non-technical stakeholders.

Mansioni

• Contribute as a senior technical member on client data engagements.
• Design and productionize scalable data pipelines and lakehouse architectures on Databricks.
• Architect designs for scale and reliability across production environments.
• Support scope, timelines, blockers, and partner with PMs and clients.
• Mentor junior and mid-level engineers through pairing and code reviews.
• Promote knowledge sharing via blogs, reference architectures and guides.
• Champion DataOps practices: testing, observability, version control, CI/CD, documentation.

Conoscenze

Data engineering

Apache Spark

Python

Scala

Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Cloud platforms (AWS/Azure/GCP)

CI/CD for data pipelines

Data modeling

ETL/ELT design

Communication

Strumenti

Databricks

Apache Spark

CI/CD tooling

Unity Catalog

Delta Lake

Descrizione del lavoro

Rearc is seeking a Senior Data Engineer to serve as the technical anchor on client data engagements, designing and productionizing scalable data pipelines and lakehouse architectures on Databricks. You will write code, review implementations, and set engineering standards for production systems.

You will collaborate with client data leadership, mentor engineers, and promote DataOps practices. The role requires deep Spark expertise, Python/Scala skills, and multi-cloud experience across AWS,