AWS Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Seattle (WA); Vor Ort; USD 140.000 - 180.000; Teilzeit

Zusammenfassung

MACHINE LEARNING TECHNOLOGIES LLC is seeking an AWS Data Engineer in Seattle to build and operate scalable data extraction, ingestion, and processing pipelines for large healthcare datasets. The role emphasizes modern architectures like Data Mesh and Lakehouse, with emphasis on data governance and cloud security.

You will implement automated data flows, integrate API interfaces, and support analytics capabilities while aligning with privacy and security standards.

Qualifikationen

• Experience with data concepts (SQL, NoSQL, Normalization) and advanced data structures.
• IaC tools such as CloudFormation and Terraform.
• Experience designing cloud data solutions across AWS technologies (EC2, EMR, DMS, GLUE, S3, Redshift, etc.).
• MDM implementations with platforms like Reltio, Informatica.

Aufgaben

• Build and operate distributed data extraction, ingestion, and processing systems for large data sets.
• Apply modern data architectures (Data Mesh, Data Lakehouse) in practice.
• Leverage MDM (Reltio) for master data governance and quality.
• Develop and implement API interfaces for data accessibility.
• Create secure cloud data solutions aligning with privacy and security controls.
• Enable data analytics capabilities and ensure requirements meet standards.

Kenntnisse

Data engineering

SQL

NoSQL

Terraform

CloudFormation

AWS data solutions

MDM (Reltio/Informatica)

Python/Scala/Go/C#

Bash/PowerShell

Data Lake/Data Warehouse/ETL/ELT

Data governance/BI

Tools

CloudFormation

Terraform

Jobbeschreibung

Job Overview

• Job ID: J53824
• Job Title: AWS Data Engineer
• Location: Seattle, WA
• Duration: 14 Months + Extension
• Domain Exposure: Healthcare
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Role Descriptions

• 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 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)
• Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.
• 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

Equal Opportunity Employer

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.