Data Engineer - Databricks, Delta Lake & Unity Catalog

ness; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

ness is seeking a seasoned Databricks engineer to design and operate a multi-layer data platform (bronze, silver, gold) with strict governance. You will implement ingestion from diverse sources, align to shared contracts, and ensure quality across end-to-end pipelines using Unity Catalog and advanced Delta Lake features.

You will own ETL from REST APIs, optimize Spark workloads, and implement CI/CD for Databricks projects within a multi-cloud data lake environment.

Qualifications

• Advanced Databricks engineering with medallion architecture, Delta Lake and Workflows.
• Unity Catalog governance including schemas, permissions and lineage.
• Strong Python, PySpark and SQL with notebook development.
• Ingestion from REST APIs with pagination, throttling and watermarks.
• Cloud storage across AWS, Azure and GCP for data movement and staging.
• Spark performance optimization focusing on partitioning and resource tuning.
• CI/CD for Databricks and Git-based development workflows.

Responsibilities

• Build ingestion into bronze layer for sources: gateway, observability logs, admin APIs, SaaS usage, billing exports; land raw and untransformed.
• Align ingestion with shared bronze landing contract to avoid duplication.
• Create the silver layer: typed, deduplicated, conformed to canonical dimensions.
• Develop gold marts with attribution, cost basis and provisional status.
• Implement attribution and allocation logic including precedence and ratio-based splitting.
• Operate within Unity Catalog governance with owned datasets, permissions, lineage and cataloging.
• Apply data quality rules and monitoring for completeness, freshness, and tag coverage.
• Manage impact of caller-identity data on cost/usage reporting and downstream volumes.
• Work to per-source cadence (daily or monthly) within CI/CD and promotion practices.

Skills

Databricks engineering

Unity Catalog governance

Python & PySpark

SQL

REST API ingestion

Cloud object storage

CI/CD for Databricks

Git-based workflows

Incremental ingestion patterns

Tools

Delta Lake

Auto Loader

Databricks Workflows

Unity Catalog

Job description

ness is seeking a seasoned Databricks engineer to design and operate a multi-layer data platform (bronze, silver, gold) with strict governance. You will implement ingestion from diverse sources, align to shared contracts, and ensure quality across end-to-end pipelines using Unity Catalog and advanced Delta Lake features.

You will own ETL from REST APIs, optimize Spark workloads, and implement CI/CD for Databricks projects within a multi-cloud data lake environment.