Ocient Tech Stack

High-performance distributed database for compute-intensive analytics at scale

Software Development Chicago, Illinois 51–200 employees Founded 2016 Privately Held

Ocient builds a distributed analytics database optimized for large, complex datasets with a focus on query performance and resource efficiency. The C++/Java stack with Apache Spark and scikit-learn reflects a mature systems-engineering approach, while the project list—database testing infrastructure, query processing engine tuning, build-system evolution—shows active investment in query optimization and distributed systems reliability rather than feature breadth. The senior-heavy hiring skew (12 senior, 8 mid, 1 junior across 22 open roles) indicates a team scaling toward architectural depth on performance-critical infrastructure.

Tech Stack 23 technologies

Core StackC++ Java Linux SAS Python Apache Spark PySpark C# scikit-learn Scala TypeScript GitHub Actions Maven SQL GCP Bazel Spark MLlib XGBoost pytest GCC clang pnpm

What Ocient Is Building

◆Challenges

Improving query performance
Identifying performance bottlenecks
Performance optimization
Performance and scalability in demanding database environments
Optimizing query processing efficiency
Scaling marketing operations
Integrated planning across teams
Data flow integration across platforms
Massive-scale data solutions
Migrating legacy mainframe to cloud

▲Active Projects

Database testing infrastructure evolution
Streamloader ingestion pipeline
Cutting-edge data warehouse
High performance distributed systems
End-to-end testing initiatives for query processing engine
Test plans for query processing component
Bazel build system evolution
Performance and storage roadmap development
Infrastructure improvements
Chatbot development

Hiring Activity

Steady20 roles · 7 in 30d

Department

Engineering

Product

Marketing

Data

Seniority

Senior

Mid

Junior

Staff

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About Ocient

Ocient is a data analytics software company serving enterprises with compute-intensive workloads on large, complex datasets. The platform combines data transformation, loading, query processing, and integrated ML capabilities (OcientML and OcientGeo) in a single system, deployable on-premises, in OcientCloud, or public cloud environments. Founded in 2016, the company operates as a remote-first organization headquartered in Chicago and backed by investors including Greycroft, OCA Ventures, In-Q-Tel, and Buoyant Ventures. The engineering organization is the dominant hiring function, reflecting the capital-intensive nature of distributed database development.

HeadquartersChicago, Illinois

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States, India, United Kingdom

Frequently Asked Questions

What tech stack does Ocient use?

Core languages: C++, Java, Python. Data/ML: Apache Spark, PySpark, scikit-learn, XGBoost, Spark MLlib. Infrastructure: Linux, GCP, Bazel build system, GitHub Actions. Testing: pytest.

What is Ocient working on?

Active projects include database testing infrastructure evolution, query processing engine optimization, distributed systems development, and Bazel build-system improvements. The roadmap emphasizes query performance, storage efficiency, and end-to-end testing for large-scale analytics workloads.