Data Engineer

Object Computing, Inc.; Emeryville (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Object Computing, Inc. is seeking experienced Data Engineers in Emeryville, California to design and optimize data infrastructure for internal and client projects. The ideal candidate will have robust knowledge of ETL processes and cloud platforms like AWS and Azure.

This role requires proficiency in programming languages such as Go, Java, or Python and experience in CI/CD practices. Collaborating with developers and data scientists in an Agile environment is essential for success.

Qualifications

• Experience designing, building, and optimizing large-scale data pipelines.
• Solid background in cloud deployments and data infrastructure management.
• Strong understanding of data governance principles and event-driven architectures.

Responsibilities

• Design and manage data infrastructure for projects.
• Develop data ingestion and storage solutions.
• Collaborate with teams in an Agile/DevOps environment.

Skills

ETL data engineering

Proficiency in Go, Java, Python, or Scala

CI/CD pipelines and Infrastructure as Code (IaC)

Experience with event-driven architectures (Kafka, Pulsar)

Knowledge of data warehousing and SQL/NoSQL databases

Experience with distributed computing and DevOps tools

Education

Degree in Computer Science, Data Engineering, or equivalent experience

Tools

Databricks

SQL Server

AWS

Azure

GCP

Terraform

Job description

OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team.

About OCI

We provide a collaborative environment focused on innovation, leveraging open‑source software and strategic partnerships with Amazon and Google to build transformative technology solutions.

Job Responsibilities

• Design, build, and optimize large‑scale data pipelines (Azure, AWS, GCP)
• Develop data ingestion and storage solutions
• Implement scalable APIs and ensure system performance
• Manage big data infrastructure and cloud deployments
• Collaborate with developers, designers, and data scientists
• Work in an Agile/DevOps environment

Core Competencies

• ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark)
• Proficiency in Go, Java, Python, or Scala
• Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible)
• Hands‑on experience with event‑driven architectures (Kafka, Pulsar)
• Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms
• Experience with distributed computing, DevOps tools, and data governance
• Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT

Preferred Qualifications

• Degree in Computer Science, Data Engineering, or a related field, or equivalent experience
• Experience with AI/ML‑driven data solutions and real‑time data processing
• Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight)
• Cloud certifications (Databricks, AWS, Azure, GCP)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.