AWS Data Engineer

Cloud Analytics Technologies, LLC; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Seattle is seeking a data engineer to build and operate scalable data extraction, ingestion, and processing systems at scale.

You will contribute to modern data architectures, implement secure cloud data solutions on AWS, and shape the data platform with IaC, APIs, and data quality controls. A hands-on, collaborative candidate will thrive in our fast-moving environment.

Qualifications

• Experience building and operating scalable, distributed data pipelines.
• Familiarity with Data Mesh or Data Lakehouse concepts is a plus.
• Knowledge of Master Data Management and Reltio preferred.
• Ability to design API interfaces for data accessibility.
• Experience implementing secure cloud data solutions aligned with privacy controls.
• Proficiency with SQL, NoSQL, and data normalization techniques.
• Hands-on with IaC using CloudFormation and Terraform.
• Strong scripting: Python/Scala/Go; Bash or PowerShell familiarity.
• Background in data warehousing, ETL/ELT and BI is advantageous.
• Track record of enabling data and analytics capabilities at scale.

Responsibilities

• Build and operate high-availability data extraction and processing systems.
• Contribute to data platform architecture and evolution.
• Design data concepts across SQL/NoSQL and normalization techniques.
• Implement IaC with CloudFormation and Terraform for reproducible infra.
• Develop cloud data solutions using AWS technologies (S3, Redshift, EMR, etc.).
• Create API interfaces to extend data accessibility for products.
• Ensure data quality and monitor infrastructure health and status.
• Support streaming analytics and integration across data connectors.

Skills

Distributed data systems

Data Mesh awareness

Reltio MDR

API integration

Data quality automation

AWS data services

SQL

NoSQL

Normalization concepts

Python/Scala/Go

Bash/PowerShell

Data lakehouse

ETL/ELT

Tools

CloudFormation

Terraform

AWS services

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets


• Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.


• Working knowledge of Master Data Management Reltio preferred


• Research, analyze, recommend, and select technical approaches for solving exciting and sophisticated development and integration problems


• Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure


• Implement additional project components (API interfaces) for accessibility


• Implement secure cloud data solutions which align to privacy and security controls


• Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Qualifications:

• A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it


• Contribute to the overall data platform architecture and evolution


• Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures


• Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform


• Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)


• Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go


• Solid understanding of scripting languages such as bash or PowerShell


• Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors


• Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience


• Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems


• Working experience with various stream analytics technologies

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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