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Data Engineer
Oci · Remote · Hybrid · Active · Lever
Job facts
| Field | Value |
|---|---|
| Company | Oci |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Data Insights / Data Engineer |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2025-04-03 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Oci. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Insights. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Oci |
| Source | 6d8d6e8a-9735-43c5-82b6-e26d269f66c7 |
| ATS provider | Lever |
Description
Object Computing, Inc. (OCI)
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).
Full job record
| Job ID | 771d689f924afe8db4d0a4a6a9ac408e3c71bcbd |
| Org ID | aff82e64-9957-4999-af06-b7ad8659da23 |
| Source ID | 6d8d6e8a-9735-43c5-82b6-e26d269f66c7 |
| Board ID | 6d8d6e8a-9735-43c5-82b6-e26d269f66c7 |
| Provider | lever |
| Provider Job Key | 15f1a689-870e-4335-ba00-a29a0d56d0c0 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote |
| Department | Data Insights |
| Team | Data Engineer |
| Employment Type | Full Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/oci/15f1a689-870e-4335-ba00-a29a0d56d0c0 |
| Apply URL | https://jobs.lever.co/oci/15f1a689-870e-4335-ba00-a29a0d56d0c0/apply |
| First Seen At | 2026-05-29 07:00:28Z |
| Last Seen At | 2026-06-06 20:42:47Z |
| Last Checked At | 2026-06-06 20:42:47Z |
| Last Changed At | 2026-05-29 07:00:28Z |
| Inactive At | — |
| Source Posted At | 2025-04-03 15:47:06Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=oci/date=2026-06-06/2026-06-06T20-42-46-852Z-8f2c57fd15f16bf8cfc0b1eda39707e3bbb0dac9f717b6d3617c9b13edff0032.json |
Event Fields
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