AWS Data Engineer

Valiant Technologies LLC; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Valiant Technologies LLC in Seattle seeks a data engineer to design and operate distributed data pipelines for large datasets. You will work with Data Mesh and Lakehouse concepts and build secure AWS-based data solutions to enable analytics. You will apply SQL/NoSQL, data warehousing and ETL/ELT, and IaC tools (CloudFormation, Terraform).

Proficiency in Python, SQL, or Scala is preferred. The role emphasizes data quality, scalability, and cross-team collaboration; Valiant Technologies LLC is an

Qualifications

• Experience building and operating scalable, distributed data pipelines.
• Familiarity with Data Mesh, Lakehouse concepts and data platforms.
• Background in Data Warehouse, ETL/ELT and BI architectures.

Responsibilities

• Design and operate distributed data pipelines for large datasets.
• Implement secure cloud data solutions on AWS to enable analytics.
• Champion data quality and monitor data infrastructure effectiveness.

Skills

Distributed data pipelines

Data mesh concepts

AWS ecosystem

Python/Scala/Go scripting

Data quality & governance

Education

Bachelor's degree in CS or related field

Tools

CloudFormation

Terraform

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.