AWS Data Engineer

Artifintech; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Artifintech in Seattle is seeking a data engineer to design and operate scalable data extraction, ingestion, and processing systems handling large data sets. You will work with data architectures like Data Mesh and Lakehouse to enable analytics across the organization.

The role requires experience with AWS data services, IaC tools, and programming languages such as SQL and Python. You will collaborate to ensure data quality, security, and accessibility for business intelligence and analytics

Qualifications

• Experience building highly available, distributed data systems for extraction, ingestion, and processing of large data sets.
• Knowledge of Data Mesh and Data Lakehouse architectures.
• Experience with Master Data Management (Reltio preferred).
• Ability to research and select technical approaches for complex development problems.
• Build and maintain automated data flows with data quality monitoring and infrastructure status.
• Implement API interfaces for accessibility.
• Develop secure cloud data solutions aligning with privacy and security controls.
• Enable data and analytics capabilities meeting business requirements and technical standards.

Responsibilities

• Build and operate scalable data extraction, ingestion, and processing pipelines.
• Research, analyze, recommend technical approaches for solving complex problems.
• Automate data flows and supervise data quality and infrastructure status.
• Implement API interfaces for accessibility across systems.
• Secure cloud data solutions aligned to privacy and security controls.
• Support data analytics capabilities ensuring requirements and standards are met.

Skills

Data architecture

Distributed systems

Data engineering

SQL

Python

ETL/ELT

Cloud concepts

Tools

CloudFormation

Terraform

AWS

S3

Redshift

Kinesis

Lambda

DMS

Glue

VPC

IAM

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.