Senior Data Engineer at Blue Orange Digital | San Francisco, CA, USA | Rezi

Senior Data Engineer at Blue Orange Digital

Senior Data Engineer

Blue Orange Digital · San Francisco, CA, USA

4 weeks ago

Senior Data Engineer

Blue Orange Digital · San Francisco, CA, USA

a month ago
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About the Role

Blue Orange Digital is seeking a US-based Senior Data Engineer to contribute to and lead within an established enterprise data warehouse environment. This role involves hands-on work with Oracle and OCI, AWS, and shaping the future of the platform with technologies like Apache Iceberg and lakehouse patterns.

Responsibilities

  • Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.
  • Partner with client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.
  • Identify and implement performance optimizations at the storage, query, and orchestration layers.
  • Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.
  • Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.
  • Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.
  • Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.
  • Perform light Linux server administration and performance tuning on existing ETL infrastructure.
  • Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns.
  • Support potential future workstreams including master data management and golden record initiatives.

Requirements

  • 5+ years of hands-on data engineering experience in Oracle-centric enterprise data warehouse environments.
  • Current, hands-on experience with Oracle Cloud Infrastructure (OCI), specifically OCI Object Storage, OCI Data Transforms, Oracle Data Catalog, and OCI ETL patterns.
  • Strong Oracle expertise, including advanced SQL, complex joins, performance tuning, and navigating a mature data warehouse with significant legacy business logic.
  • Dimensional modeling proficiency, including star schemas, facts and dimensions, and slowly changing dimensions.
  • Working knowledge of lakehouse concepts, including the role of object storage in a hybrid data warehouse and lakehouse architecture.
  • Solid core ETL and ELT skills, including orchestration, error handling, dependency management, and high-volume batch ingestion.
  • Working knowledge of Linux, including shell scripting, SSH-based administration, and basic server maintenance.
  • Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.
  • Excellent written and verbal communication skills.
  • Able to operate as a peer-level collaborator with senior client subject matter experts.
  • US-based with Eastern Time business-hours overlap.

Skills

  • Oracle
  • Oracle Cloud Infrastructure (OCI)
  • OCI Object Storage
  • OCI Data Transforms
  • Oracle Data Catalog
  • OCI ETL patterns
  • Advanced SQL
  • Complex joins
  • Performance tuning
  • Dimensional modeling
  • Star schemas
  • Facts and dimensions
  • Slowly changing dimensions
  • Lakehouse concepts
  • ETL
  • ELT
  • Orchestration
  • Error handling
  • Dependency management
  • High-volume batch ingestion
  • Linux
  • Shell scripting
  • SSH-based administration
  • Server maintenance
  • Java
  • Apache Iceberg
  • Hybrid data warehouse
  • Cloud-to-Oracle integration
  • Data catalog
  • Shell-script-based orchestration
  • Oracle-native data transform tools
  • OCI Object Storage
  • Parquet
  • External table patterns
  • Cloud object storage
  • Data lake delivery pattern
  • Master data management
  • Golden record initiatives
  • AWS S3 to Oracle ingestion patterns
  • Cloud-to-warehouse data lake integration
  • High-volume transactional reporting
  • Data warehouse modernization
  • Lakehouse migration

Location

  • US-based

Work Type

  • Contractor
  • Potential full-time employment

Experience Level

  • Senior
  • 5+ years of hands-on data engineering experience

Salary/Compensations

  • $126,000 – $147,000 USD/year
  • $10,500 – $12,250 USD/month

About the Company

  • Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results.
  • We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
  • Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
  • We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Equal Opportunity

  • Blue Orange Digital is an equal-opportunity employer.