Oracle

Builds databases, business apps and cloud services

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

ContractNo salary listedIn-person

About the Job

Requirements

Five to eight years of experience designing, building, and delivering scalable data platforms.
Proven experience as a Data Engineer, Software Engineer, AI Engineer, Consulting Engineer, or a similar technical role.
Strong knowledge of modern cloud data platforms such as Databricks.
Strong hands-on experience with Apache Spark, PySpark, Delta Lake, Python, SQL, and modern data ecosystems.
Exposure to building AI agents and orchestration pipelines.
Strong understanding of Spark architecture, configuration, distributed systems, performance optimization, and tuning.
Experience modernizing analytics platforms and refactoring Spark and extract, transform, and load workloads.
Working understanding of networking concepts to support data connectivity, configuration, and troubleshooting.
Working knowledge of DataOps, continuous integration and continuous delivery, Infrastructure as Code, data security, governance, metadata, lineage, and observability.
Strong communication, customer collaboration, and stakeholder-management skills.

Responsibilities

Design and deliver Oracle AI Data Platform solutions, including platform implementations and migrations.
Build scalable, governed, AI-ready data pipelines, software components, and services for data consolidation, integration, transformation, and data products.
Develop Lakehouse, Medallion, streaming, and real-time analytics solutions on Oracle Cloud Infrastructure using Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
Build artificial intelligence and machine learning and generative AI data pipelines, including feature engineering, feature extraction, MLOps workflows, and vector-ready datasets.
Assess and modernize workloads by refactoring PySpark and extract, transform, and load code and optimizing Spark configuration, partitioning, memory, adaptive query execution, reliability, and performance.
Develop APIs, SDKs, web applications, and automation frameworks that simplify adoption of Oracle AI Data Platform and generative AI services.
Contribute to reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
Contribute to engineering excellence across CSS and continuously evaluate emerging AI, cloud, and data-engineering practices.

Desired Qualifications

Experience with Scala, Java, or Kafka.

CSS Innovation Studios is seeking Data Engineers with strong PySpark and data engineering expertise to deliver AI and data-transformation programs for Oracle’s enterprise customers.

In this customer-facing role, you will design, build, modernize, and operationalize scalable data platforms and AI-driven data solutions on Oracle AI Data Platform (AIDP) and Oracle Cloud Infrastructure (OCI). You will collaborate with customer technical teams, solution architects, engineering leaders, and Oracle product teams to accelerate AI adoption, modernize data estates, and deliver secure, high-performing production solutions.

The role combines hands-on software and data engineering with technical consulting. You will develop scalable systems for generative AI, large language models, real-time analytics, and modern data workloads; support platform implementations and migrations; and partner with architects, product managers, and engineers to apply Oracle product capabilities in customer deployments.

5–8 years of experience designing, building, and delivering scalable data platforms.
Proven experience as a Data Engineer, Software Engineer, AI Engineer, Consulting Engineer, or similar technical role.
Strong knowledge of modern cloud data platforms like Databricks.
Strong hands-on experience with Apache Spark, PySpark, Delta Lake, Python, SQL, and modern data ecosystems; experience with Scala, Java, or Kafka is a plus.
Exposure to building AI agents and orchestration pipelines.
Strong understanding of Spark architecture, configuration, distributed systems, performance optimization, and tuning.
Experience modernizing analytics platforms and refactoring Spark and ETL workloads.
Working understanding of networking concepts to support data connectivity, configuration, and troubleshooting.
Working knowledge of DataOps, CI/CD, Infrastructure as Code, data security, governance, metadata, lineage, and observability.
Strong communication, customer collaboration, and stakeholder-management skills.

Design and deliver Oracle AI Data Platform solutions, including platform implementations and migrations.

Build scalable, governed, AI-ready data pipelines, software components, and services for data consolidation, integration, transformation, and data products.
Develop Lakehouse, Medallion, streaming, and real-time analytics solutions on OCI using Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
Build AI/ML and Generative AI data pipelines, including feature engineering, feature extraction, MLOps workflows, and vector-ready datasets.
Assess and modernize workloads by refactoring PySpark and ETL code and optimizing Spark configuration, partitioning, memory, adaptive query execution, reliability, and performance.
Develop APIs, SDKs, web applications, and automation frameworks that simplify adoption of Oracle AI Data Platform and Generative AI services.
Contribute to reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
Contribute to engineering excellence across CSS and continuously evaluate emerging AI, cloud, and data-engineering practices.

Requirements at a Glance

Experience Level: Senior

Benefits

401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 1977

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