$81K - $111K/yr
... in a remote environment. Accountabilities: The Senior Data Engineer will be responsible for ... AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift. * Proven experience designing ...
$81K - $111K/yr
... in a remote environment. Accountabilities: The Senior Data Engineer will be responsible for ... AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift. * Proven experience designing ...
Senior Data Engineer I
Kansas City, MO · On-site +1
$103K - $140K/yr
This position is fully remote, requiring a reliable internet connection in a private setting ... Experience with AWS Glue. * Solid understanding of data warehousing concepts (e.g., Redshift)
Senior Data Engineer I
Kansas City, MO · On-site +1
$103K - $140K/yr
This position is fully remote, requiring a reliable internet connection in a private setting ... Experience with AWS Glue. * Solid understanding of data warehousing concepts (e.g., Redshift)
Remote Aws Redshift information
What are the key skills and qualifications needed to thrive as a remote AWS Redshift engineer?
To thrive as a Remote AWS Redshift Engineer, you need a strong background in data warehousing, SQL, and cloud architecture, typically supported by experience with AWS services and sometimes certifications like AWS Certified Data Analytics. Familiarity with tools such as AWS Redshift, S3, Glue, and ETL solutions is crucial for managing and optimizing large-scale data environments. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and addressing complex data challenges. These skills ensure effective data management, optimized performance, and successful collaboration in distributed cloud-based teams.
What are some common challenges faced by remote AWS Redshift engineers, and how can they be addressed?
Remote AWS Redshift engineers often face challenges such as coordinating with distributed teams, maintaining secure data access, and troubleshooting data pipeline issues without on-site support. Effective communication tools, clear documentation, and regular virtual check-ins help address collaboration hurdles. Leveraging AWS security best practices and automated monitoring tools can streamline issue detection and resolution, ensuring data integrity and system performance even while working remotely.
What is the difference between Remote Aws Redshift vs Remote Data Warehouse Engineer?
| Aspect | Remote Aws Redshift | Remote Data Warehouse Engineer |
|---|---|---|
| Required Credentials | AWS certifications, SQL knowledge | Data warehousing certifications, SQL, cloud platform knowledge |
| Work Environment | Cloud-based, data analytics teams | Data infrastructure teams, cloud or on-premises environments |
| Industry Usage | Data analytics, BI, cloud services | Data integration, analytics, enterprise data solutions |
| Search & Comparison Intent | Focus on AWS Redshift-specific skills | Broader data warehouse skills including multiple platforms |
Remote Aws Redshift specialists focus on managing and optimizing AWS Redshift data warehouses, often requiring AWS certifications and SQL expertise. Remote Data Warehouse Engineers have a broader scope, working with various data warehouse platforms and integrating data solutions across different environments. While both roles involve data management and analytics, Redshift roles are more cloud-specific, whereas Data Warehouse Engineers may work across multiple cloud or on-premises systems.
What is a remote AWS Redshift?
A Remote AWS Redshift job involves working with Amazon Web Services (AWS) Redshift, a cloud-based data warehouse service, from a remote location. Professionals in this role are responsible for designing, implementing, and maintaining Redshift clusters, optimizing data storage and queries, and ensuring data security and performance. Common tasks include ETL (Extract, Transform, Load) processes, managing large datasets, and integrating Redshift with other AWS services. These roles are suitable for data engineers, analysts, and database administrators who can work effectively outside a traditional office setting. Remote AWS Redshift jobs typically require strong SQL skills, experience with cloud platforms, and knowledge of data warehousing concepts.
What are popular job titles related to Remote Aws Redshift jobs in Missouri? For Remote Aws Redshift jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Aws Redshift jobs in Missouri look for? The top searched job categories for Remote Aws Redshift jobs in Missouri are:
What cities in Missouri are hiring for Remote Aws Redshift jobs? Cities in Missouri with the most Remote Aws Redshift job openings:
$81K - $111K/yr
Full-time
Re-posted 18 hours 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!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job