
11 - 50 employees
Founded 2013
đ Manufacturing
đź Consulting
đŚ Logistics
đ° $14M Series A - CrateDB on 2020-09
Manufacturing ⢠Consulting ⢠Logistics
CrateDB is a distributed, real-time analytics database built to ingest, index, and query high-velocity and high-cardinality data at scale using standard SQL. It combines time-series, JSON, geospatial, full-text, and vector capabilities in a single engine to support real-time analytics, search, and AI workflows with options for DBaaS, hybrid-cloud, or self-managed deployments. CrateDB targets engineering and data teams who need low-latency dashboards, streaming analytics, and scalable operations without complex pipelines or pre-aggregation.
Likely ghost job
đ March 27
Airflow
Apache
Docker
Grafana
Java
Kafka
Kubernetes
Open Source
Pandas
Postgres
Python
Rust
SQL
Swift
Tableau
C++
Go
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2013
đ Manufacturing
đź Consulting
đŚ Logistics
đ° $14M Series A - CrateDB on 2020-09
Manufacturing ⢠Consulting ⢠Logistics
CrateDB is a distributed, real-time analytics database built to ingest, index, and query high-velocity and high-cardinality data at scale using standard SQL. It combines time-series, JSON, geospatial, full-text, and vector capabilities in a single engine to support real-time analytics, search, and AI workflows with options for DBaaS, hybrid-cloud, or self-managed deployments. CrateDB targets engineering and data teams who need low-latency dashboards, streaming analytics, and scalable operations without complex pipelines or pre-aggregation.
⢠Develop and maintain drivers for CrateDB, including JDBC and Python/SQLAlchemy ⢠Build connections to external tools such as Grafana, Tableau, and Airflow ⢠Develop and maintain internal administrative tools, including crash CLI and Admin UI ⢠Improve PostgreSQL compatibility of CrateDB and its ecosystem ⢠Develop migration tools to and from other database systems and storage formats ⢠Write and maintain technical documentation, including reference architectures and integration examples ⢠Work with the Open Source community and technical partners on joint projects ⢠Support Product Managers with technical requirements ⢠Work directly with founding engineers on projects managed on public GitHub ⢠Contribute to third-party applications and frameworks including SQLAlchemy, pandas, Dask, Apache Kafka, Flink, Superset, Airflow, and Grafana
⢠Knowledge about standards and protocols, including HTTP, PG Wire Protocol, Python DB API, and JDBC ⢠Good knowledge of at least Python and Java ⢠Preferably experience with Rust, C++, Golang, Swift, or Zig ⢠Experience with test driven development ⢠Knowledge about versioning, packaging, and shipping in a polyglot software environment ⢠Knowledge of software operation in production environments ⢠Comfortable working with relational databases and SQL ⢠Strong debugging and problem-solving skills ⢠Self-directed, hands-on engineering approach ⢠Ability to take responsibility for existing code bases and drive development efforts in a fullstack manner ⢠Ability to assure software quality, documentation, and communication ⢠Existing Open Source contributions are valuable but not a requirement ⢠Knowledge and/or experience with message bus systems such as AMQP, Kafka, MQTT, or ZeroMQ and corresponding broker implementations is nice to have ⢠Knowledge and/or DevOps experience in containerized environments such as Docker and K8s is nice to have
⢠Remote workplace ⢠Competitive compensation ⢠Flexible working hours ⢠Flexible holidays ⢠Fitness perks ⢠Education perks ⢠Participation in the Employee Stock Options Plan ⢠Welcoming and supportive working climate ⢠Open collaborative culture with diverse backgrounds
Apply Now