Staff Data Engineer
AbbottFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, the position is 100% remote.
This information is not specified in the job description.
Candidates must have experience designing and implementing big data solutions like ETL pipelines, Data Lakes, Data Warehouses, data processing with Spark or EMR, streaming with Kafka or Kinesis, IaC tools like Terraform or CloudFormation, AWS services such as Glue and Lambda, CI/CD tools, and excellent communication skills.
Benefits include pay in USD, 100% remote work, generous holidays and flexible PTO, competitive phantom equity, paid exams and certifications, peer bonus awards, state-of-the-art laptop and tools, equipment & office stipend, individual professional development plan, annual stipend for learning and development, and working with an amazing worldwide team.
A strong candidate has hands-on experience designing and implementing at least two big data solutions (e.g., ETL, Data Lakes), two data processing technologies (e.g., Spark, Kafka), IaC and AWS services, plus excellent communication skills to lead engineers and collaborate in an agile team environment.
Cloud-native services for AWS solutions
Caylent offers cloud-native services that help organizations utilize Amazon Web Services (AWS) to improve their technology and workforce. The company specializes in building, scaling, and optimizing cloud solutions, serving clients from those just starting their cloud journey to those seeking advanced capabilities. Caylent stands out by using a co-delivery approach, working closely with clients to create tailored solutions while also teaching them to manage their cloud environments. Their goal is to accelerate time-to-value for clients through expert consulting and ongoing support.