Feeny
Object Computing, Inc.

Data Engineer at Object Computing, Inc.

Object Computing, Inc.·

Role details

Work type
Hybrid
Employment
Full-Time

Job 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).

Why work at Object Computing, Inc.

  • Engineering culture: Rated 4.1/5.0 for culture and 4.0/5.0 for career growth (49 reviews). Engineers are treated as skilled professionals, not “resources.”
  • Work environment: On-site presence required for many roles (St. Louis, MO). Some roles may offer hybrid flexibility; current openings include “On Site” and “Onsite” positions.
  • Compensation: Competitive – e.g., Senior Programmer Analyst ~$122k, Machine Learning Engineer ~$131k (as reported on LinkedIn).
  • Perks & highlights: Work on truly mission-critical systems for top-tier clients; high level of autonomy and ownership; strong emphasis on continuous learning and open source contributions.
  • Stability: 33-year track record, 95% client retention, and consistent growth provide long-term career stability.

Application questions