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Data Engineer

Oci · Remote · Hybrid · Active · Lever

Job facts

FieldValue
CompanyOci
TitleData Engineer
Normalized title-
Department / teamData Insights / Data Engineer
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2025-04-03 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Oci.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Insights.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOci
Source6d8d6e8a-9735-43c5-82b6-e26d269f66c7
ATS providerLever

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 ID771d689f924afe8db4d0a4a6a9ac408e3c71bcbd
Org IDaff82e64-9957-4999-af06-b7ad8659da23
Source ID6d8d6e8a-9735-43c5-82b6-e26d269f66c7
Board ID6d8d6e8a-9735-43c5-82b6-e26d269f66c7
Providerlever
Provider Job Key15f1a689-870e-4335-ba00-a29a0d56d0c0
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote
DepartmentData Insights
TeamData Engineer
Employment TypeFull Time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/oci/15f1a689-870e-4335-ba00-a29a0d56d0c0
Apply URLhttps://jobs.lever.co/oci/15f1a689-870e-4335-ba00-a29a0d56d0c0/apply
First Seen At2026-05-29 07:00:28Z
Last Seen At2026-06-06 20:42:47Z
Last Checked At2026-06-06 20:42:47Z
Last Changed At2026-05-29 07:00:28Z
Inactive At
Source Posted At2025-04-03 15:47:06Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=oci/date=2026-06-06/2026-06-06T20-42-46-852Z-8f2c57fd15f16bf8cfc0b1eda39707e3bbb0dac9f717b6d3617c9b13edff0032.json
Event Fields
{
  "content_hash": "9d2b9e86e0a7303e1fd4a8ed8e0de09e15f721e325f3250cca01b948df618321",
  "source_hash": "261d8572c1d49e5c3a3db95402faf082e77b9367dd892aa7d35a7be46221ea54",
  "last_changed_at": "2026-05-29T07:00:28.713Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Remote",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:42:47.899Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Remote",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Job Responsibilities",
      "content": "<li>Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)</li><li>Develop data ingestion and storage solutions.</li><li>Implement scalable APIs and ensure system performance.</li><li>Manage big data infrastructure and cloud deployments.</li><li>Collaborate with developers, designers, and data scientists.</li><li>Work in an Agile/DevOps environment.</li>"
    },
    {
      "text": "Core Competencies",
      "content": "<li>ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).</li><li>Proficiency in Go, Java, Python, or Scala.</li><li>Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).</li><li>Hands-on experience with event-driven architectures (Kafka, Pulsar).</li><li>Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.</li><li>Experience with distributed computing, DevOps tools, and data governance.</li><li>Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.</li>"
    },
    {
      "text": "Preferred Qualifications",
      "content": "<li>Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.</li><li>Experience with AI/ML-driven data solutions and real-time data processing.</li><li>Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).</li><li>Cloud certifications (Databricks, AWS, Azure, GCP).</li>"
    }
  ],
  "country": "US",
  "createdAt": 1743695226922,
  "updatedAt": null,
  "categories": {
    "team": "Data Engineer",
    "location": "Remote",
    "commitment": "Full Time",
    "department": "Data Insights",
    "allLocations": [
      "Remote"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/771d689f924afe8db4d0a4a6a9ac408e3c71bcbd?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/aff82e64-9957-4999-af06-b7ad8659da23JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/6d8d6e8a-9735-43c5-82b6-e26d269f66c7JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/771d689f924afe8db4d0a4a6a9ac408e3c71bcbd/eventsJSON