AWS Data Engineer

Robotics Technologies; Seattle (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

Robotics Technologies LLC seeks a Data Engineer to design, build, and operate large-scale data pipelines in the Seattle area. You will work with distributed systems, data ingestion, ETL/ELT, and data warehouse concepts to support analytics and product teams.

You will apply AWS services (EC2, S3, Redshift, Glue) and IaC tools (Terraform, CloudFormation), implement data privacy controls, and help evolve our data mesh and lakehouse architecture.

Qualifications

• A passion for all things data; understanding how to work with it at scale.
• 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 CloudFormation and Terraform.
• Experience in designing and implementing cloud data solutions using AWS technologies (EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams).
• Proficiency in SQL, Python, Scala, C#, or Go.
• Solid understanding of scripting languages such as bash or PowerShell.
• Track record of building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
• Background in data engineering – Data Warehouse, ETL/ELT and BI experience.
• Serve as an authority; envision and integrate emerging data technologies.
• Working experience with various stream analytics technologies.

Responsibilities

• 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

Skills

Data engineering

Data at scale

SQL

Python

Scala

C#

Go

NoSQL

Scripting (bash/PowerShell)

Data concepts

Tools

AWS (EC2)

AWS (EMR)

AWS (DMS)

AWS (GLUE)

AWS (S3)

AWS Lake Formation

AWS Redshift

AWS VPC

IAM

CloudWatch

SQS

Lambda

CloudTrail

Systems Manager

KMS

Kinesis Streams

Terraform

CloudFormation

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.