11 beste Stellen als data engineer in homeoffice – aktuell auf Personalsuche

Software Engineer - Database Integrations
Clickhouse —Home Office
- Bereitschaftsdienst
- Homeoffice
- Azure
- AWS
Senior Platform Engineer - AWS & Cloud Infrastructure (all genders)
chargecloud GmbH —Home Office
- Vollzeit
- Homeoffice
- Informatik
- Englisch
- AWS
Direkt bewerben
1 Tag
Senior Frontend Developer (m/w/d)
Joom —Home Office
- Vollzeit
- Homeoffice
- JavaScript
- APIs
- Künstliche Intelligenz
Direkt bewerben
Forward Deployed Engineer (m/w/d) – SaaS & AI
foodforecast —Home Office
- Vollzeit
- Homeoffice
- Englisch
- Master
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
3 Tage
Software Engineer bei SCOUTASTIC (all genders)
JUST ADD AI GmbH —Home Office
- Teilzeit
- Homeoffice
- Azure
- DevOps
- Master
- Erfolgsbeteiligung
- Weiterbildungsprogramme
Direkt bewerben
Full Stack AI Engineer (all) - React / NodeJS
XO Life GmbH —Home Office
- Vollzeit
- Homeoffice
- Informatik
- Datenbanken
- AWS
Direkt bewerben
AI Consultant
noventive - IP securely protected —Home Office
- Teilzeit
- Homeoffice
- Doktorat
- Informatik
- Master
Direkt bewerben
Software Development Team Lead
Etops —Home Office
- Vollzeit
- Homeoffice
- Englisch
- Ohne Hochschulabschluss
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
Staff MLOps Engineer (AI/ML Platform)
Cint —Home Office
- Vollzeit
- Homeoffice
- Java
- AWS
- APIs
Direkt bewerben
Backend AI Software Engineer (all) - TypeScript / NodeJS
XO Life GmbH —Home Office
- Vollzeit
- Homeoffice
- Informatik
- Systemdesign
- AWS
Direkt bewerben
Staff AI Engineer
Workato —Home Office
- Homeoffice
- Informatik
- DevOps
- Systemdesign
Direkt bewerben
4 Std.

Discover related jobs

Based on your search for data engineer jobs.

Senior Manager Data Operations - Link Key People
Veeva Systems —Home Office
Be a sparring partner to product management through your understanding of the data and curation processes. Analytical Mindset: You don’t just see data; you see…
65.000 € – 110.000 € pro Jahr
Senior Product Manager, Performance Testing | Germany | Remote
Grafana Labs —Home Office
Ability to discuss APIs, data models, schema evolution, and distributed systems concepts. With Grafana Cloud's actually useful AI, organizations can see,…
97.034 € – 116.441 € pro Jahr
9 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in homeoffice erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

data engineer jobs near homeoffice

Jobs als Front End Developer in Home Office

Jobs als Platform Engineer in Home Office

Jobs als Softwareentwickler in Home Office

Jobs als Staff Engineer in Home Office

Jobs als Full Stack Developer in Home Office

Jobs als Front End Developer in Karlsruhe

Jobs als Junior React Developer in Berlin

Jobs als Front End Developer in Osnabrück

Jobs als Java Developer in Stuttgart

Jobs als Junior Frontend Developer in Nordrhein Westfalen

Jobs als Front End Developer in Münster

Jobs als Front End Developer in Wuppertal

Jobs als Ingenieur Maschinenbau in Hessen

Jobs als Ingenieur in Erlangen

Jobs als Ingenieur Elektrotechnik in Hamburg

Jobs als Ingenieur Verfahrenstechnik in Hamburg

Jobs als Ingenieur in Berlin

Jobs als Platform Engineer in Frankfurt Am Main

Jobs als Platform Engineer in Stuttgart

Jobs als Platform Engineer in Hamburg

Software Engineer - Database Integrations

Clickhouse
Home Office

Jetzt bewerben

Details zur Stelle

Qualifikationen

Azure
Go
Cloud-Architektur
Kubernetes
Spark
Google Cloud Platform
MongoDB
AWS
PostgreSQL
Verteilte Systeme
JSON
Kafka
Debugging
MySQL

Vollständige Stellenbeschreibung

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

Note:. We are hiring for this role remotely in any country ClickHouse has a hiring presence.

About the Team

The ClickPipes - Database Integrations team builds the platform that enables real-time data replication from databases into ClickHouse at petabyte scale.

As a member of this team, you will be solving complex database-related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end-to-end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB, an open-source CDC platform we actively maintain and contribute to.

See some of our recent work:

ClickPipes for Postgres now supports failover replication slots
MongoDB CDC to ClickHouse with Native JSON Support
Under the Hood: Building MySQL Change Data Capture in ClickPipes

What You’ll Do:

Build data-intensive systems
- Design and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).
- Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
- Design integration solutions to enable users to fully harness ClickHouse's performance and throughput.
Own end-to-end reliability
- Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
- Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
- Write clear documentation, both publicly and internally.
- Participate in on-call rotation.
Drive product innovation
- Work directly with customers to understand integration requirements and discover gaps in existing product.
- Collaborate cross-functionally with internal teams to ensure operational efficiency.
- Lead technical discussions and influence product roadmaps.

About You:

5+ years of industry experience building data-intensive software solutions.
Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
Practical experience with Kubernetes.
Strong problem solver and solid production debugging skills.
Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

Bonus Points

Experience with database replication technologies (CDC, logical replication).
Experience with durable execution frameworks (Temporal).
Experience with data formats and protocols (Avro, Parquet, Protobuf).
Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
Experience with maintaining/contributing to open-source software.

Why Join Us

Work on challenging problems at the intersection of database technologies, distributed systems, and cloud-native architecture.
Work on a team that builds software in the open (PeerDB), and that cares about the craft of engineering, documentations, and continuous learning.
Be part of a high-visibility team that delivers meaningful impact to customers in a dynamic, hyper-growth environment.

#LI-remote

Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at [email protected].

Perks

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
Healthcare - Employer contributions towards your healthcare.
Equity in the company - Every new team member who joins our company receives stock options.
Time off - Flexible time off in the US, generous entitlement in other countries.
A $500 Home office setup if you’re a remote employee.
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start up, you will be instrumental in shaping our culture.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in homeoffice

Software Engineer - Database Integrations

Senior Platform Engineer - AWS & Cloud Infrastructure (all genders)

Senior Frontend Developer (m/w/d)

Forward Deployed Engineer (m/w/d) – SaaS & AI

Software Engineer bei SCOUTASTIC (all genders)

Full Stack AI Engineer (all) - React / NodeJS

AI Consultant

Software Development Team Lead

Staff MLOps Engineer (AI/ML Platform)

Backend AI Software Engineer (all) - TypeScript / NodeJS

Staff AI Engineer

Discover related jobs

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in homeoffice erhalten

Related Searches

Weitere Job-Standorte erkunden

About ClickHouse

About the Team

What You’ll Do:

About You:

Why Join Us

Compensation

Perks

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt