AWS Data Engineer

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

Job summary

Machine Learning Technologies, LLC seeks a data engineer to build and operate scalable data pipelines across data extraction, ingestion, and processing of large datasets. You will contribute to evolving data platform architectures and implement secure cloud data solutions using AWS tools.

The role focuses on enabling analytics capabilities, data quality oversight, and integration of emerging data technologies to meet business needs.

Qualifications

• Experience building scalable, distributed data platforms and pipelines.
• Ability to design data architectures and recommend technical directions.
• Familiarity with cloud data solutions and data governance concepts.

Responsibilities

• Build and operate data extraction, ingestion, and processing for large datasets.
• Architect and evolve data platforms with data mesh/ lakehouse concepts.
• Implement secure cloud data solutions aligned with privacy and security controls.
• Enhance data flows and APIs to improve accessibility and reliability.
• Ensure data quality and oversight of related infrastructure.

Skills

Data at scale

Distributed systems

Technical leadership

BI experience

Streaming analytics

Tools

AWS ecosystem

Terraform

CloudFormation

S3

Redshift

Kinesis

DMS

Lake Formation

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.