
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.
đĽ 13 hours ago
Airflow
Apache
Docker
Grafana
Java
Kafka
Kubernetes
Open Source
Pandas
Postgres
Python
Rust
SQL
Swift
Tableau
C++
Go
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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 and interact 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 such as 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 additional languages such as Rust, C++, Golang, Swift, or Zig ⢠Experience with test-driven development ⢠Knowledge about versioning, packaging, and shipping in a polyglot software environment ⢠Understanding of how software is operated in production environments ⢠Comfortable working with relational databases and SQL ⢠Strong debugging and problem-solving skills ⢠Self-directed, hands-on engineering approach ⢠Ability to drive development efforts forward in a full-stack manner while assuring software quality, documentation, and communication ⢠Existing open source contributions are valuable but not required ⢠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 Kubernetes is nice to have
⢠Welcoming and supportive working climate ⢠Open collaborative culture with colleagues from diverse backgrounds ⢠Remote workplace, with direct employment through entities in Germany and Austria or through Remote.com in the employee's home country ⢠Competitive compensation ⢠Flexible working hours ⢠Flexible holidays ⢠Fitness perks ⢠Education perks ⢠Participation in the Employee Stock Options Plan
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â° Full Time
đ Senior
đ Backend Engineer
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