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Data Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Object Computing, Inc.
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

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/Dev Ops environment.
Core Competencies
  • ETL data engineering (Databricks, SQL Server, Snowflake, Big Query, 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/No

    SQL databases, and cloud platforms.
  • Experience with distributed computing, Dev Ops 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, Quick Sight).
  • Cloud certifications (Databricks, AWS, Azure, GCP).
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