About the Role
Join our innovative team as a Senior AWS Data Engineer, where you will have the opportunity to work remotely and contribute to exciting data-driven projects. At ClearScale, an AWS Premier Consulting Partner, we empower businesses across various industries to achieve their cloud initiatives. As a Senior AWS Data Engineer, you will design and implement robust data solutions that leverage the power of AWS, ensuring that our clients can harness their data effectively.
What You'll Do
- Design and implement efficient architectures for high-load, enterprise-scale applications and big data pipelines on AWS.
- Lead data migration from various sources into scalable Data Lakes on AWS.
- Orchestrate and build robust ETL/ELT processes to transform and load data into target data marts.
- Implement and manage secure data access controls leveraging AWS Lake Formation.
- Architect and develop real-time data ingestion pipelines to process high-volume streams, detect anomalies, and enable windowed analytics.
- Analyze project requirements, define scope, estimate effort, and identify the optimal technology stack and tools.
- Collaborate closely with internal and external teams to deliver high-quality data solutions.
- Monitor and analyze data pipeline performance, recommending and implementing necessary infrastructure adjustments.
Requirements
- Proven hands-on experience designing efficient architectures for high-load enterprise-scale applications or big data pipelines.
- Deep practical experience utilizing AWS data toolsets, including DMS, Glue, DataBrew, EMR, and SCT.
- Demonstrated experience in implementing end-to-end big data architectures and pipelines on AWS.
- Strong proficiency in Python and PySpark for developing AWS Glue jobs.
- Advanced knowledge and practical experience working with both SQL and NoSQL databases.
- 5+ years of experience in a Data, Cloud, or Software Engineer role with a relevant degree.
Nice to Have
- Valid AWS certifications in Data Engineer or Machine Learning Specialty.
- Experience with message queuing and stream processing technologies.
- Familiarity with federated identity services like Okta and AWS Cognito.
What We Offer
- Competitive salary with exceptional opportunities for leadership development.
- A collaborative, high-energy, and fully remote work culture.
- Continuous learning and development opportunities to enhance your skills.
- The flexibility and convenience of a 100% distributed workforce.
- Be part of a dynamic team that fosters continuous learning and professional growth.
This Senior AWS Data Engineer role offers a unique opportunity to work remotely with a leading cloud consulting firm, tackling complex data challenges.
About ClearScale
Explore ClearScale careers in 2026 and discover exciting job openings tailored for you. Whether you're seeking remote, hybrid, or office roles, our platform offers advanced filters to streamline your search. Utilize application tracking and gain valuable company insights for your ClearScale journey. Uncover the best career opportunities at ClearScale today and take the next step in your professional path.
Who Will Succeed Here
Proficient in AWS services such as S3, Lambda, and Redshift with hands-on experience in building data lakes and ETL pipelines using tools like Apache Kafka and Apache Spark.
Demonstrates strong problem-solving skills and self-motivation, thriving in a remote work environment by effectively managing time and prioritizing tasks to meet project deadlines.
Possesses a growth mindset with 3-5 years of experience in data engineering, eager to learn and adapt to new technologies, particularly in the areas of NoSQL databases and data processing frameworks.
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