$81K - $111K/yr
This position is listed on behalf of a partner company, who manages all applications and next steps ... Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems ...
$81K - $111K/yr
This position is listed on behalf of a partner company, who manages all applications and next steps ... Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems ...
$40.75 - $55.75/hr
Hands-on experience building and managing high-throughput data pipelines using technologies such as Apache Kafka, ClickHouse, RabbitMQ, or similar solutions. * Experience working with SQL databases ...
$40.75 - $55.75/hr
Hands-on experience building and managing high-throughput data pipelines using technologies such as Apache Kafka, ClickHouse, RabbitMQ, or similar solutions. * Experience working with SQL databases ...
DevOps Engineer
Saint Louis, MO · On-site
$49.50 - $67.75/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
DevOps Engineer
Saint Louis, MO · On-site
$49.50 - $67.75/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
DevOps Engineer
Saint Louis, MO · On-site
$51.25 - $70.25/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
DevOps Engineer
Saint Louis, MO · On-site
$51.25 - $70.25/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
DevOps Engineer
Saint Louis, MO · Remote
$51.25 - $70.25/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
DevOps Engineer
Saint Louis, MO · Remote
$51.25 - $70.25/hr
Operate container and orchestration infrastructure using Docker, Kubernetes, and Helm, including stateful workloads such as ClickHouse and Redis. * Manage secrets securely across pipelines and ...
Manager Clickhouse information
What is the difference between Manager Clickhouse vs Data Engineer?
| Aspect | Manager Clickhouse | Data Engineer |
|---|---|---|
| Primary Focus | Oversees Clickhouse database management, team coordination, and strategy | Designs, develops, and maintains data pipelines and infrastructure |
| Required Skills | Database administration, team leadership, project management | ETL processes, SQL, programming, data modeling |
| Certifications | Database management, cloud certifications, project management | Data engineering, cloud, and programming certifications |
| Work Environment | Management, strategic planning, team collaboration | Technical development, coding, data architecture |
The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.
What are the most commonly searched types of Clickhouse jobs in Missouri? The most popular types of Clickhouse jobs in Missouri are:
What are popular job titles related to Manager Clickhouse jobs in Missouri? For Manager Clickhouse jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Manager Clickhouse jobs in Missouri look for? The top searched job categories for Manager Clickhouse jobs in Missouri are:
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$81K - $111K/yr
Full-time
Posted 25 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Netherlands.
The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.
Accountabilities:
The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.
- Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
- Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
- Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
- Design integrations between data workflows and backend microservices running on Amazon ECS.
- Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
- Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
- Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
- Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
- Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
- Mentor other engineers and contribute to architectural decisions and long-term technical direction.
The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.
- 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
- Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
- Proven experience designing and building scalable batch data pipelines and ETL systems.
- Strong programming skills in Java for backend services and Python for data processing workflows.
- Experience working with containerized applications and orchestration platforms such as Amazon ECS.
- Familiarity with microservices architectures and backend system design.
- Experience with event-driven systems and messaging services such as SQS and EventBridge.
- Advanced SQL skills with experience optimizing analytical queries and data workloads.
- Knowledge of distributed processing frameworks, including Spark-based solutions.
- Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
- Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
- Familiarity with Apache Airflow or similar orchestration tools is beneficial.
- Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
- Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
- Opportunity to collaborate with a diverse international team across multiple regions.
- Flexible working environment within a distributed engineering organization.
- The chance to work on impactful, large-scale data platforms and modern cloud technologies.
- Competitive compensation package based on experience and expertise.
- Opportunity to contribute to technical strategy and influence architecture decisions.
- Professional growth opportunities through challenging engineering projects and collaboration with experienced teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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