Data Engineer IV

Ursus; Seattle (WA); On-site; USD 100,000 - 125,000; Full time

Job summary

A leading technology provider is seeking a Data Engineer IV to join the Infrastructure Automation team in Seattle. The ideal candidate will have strong experience with AWS technologies and data engineering concepts. Responsibilities include developing analytic technologies and supporting data management for extensive customer data. This role offers competitive compensation and a range of benefits including medical and retirement plans.

Benefits

Medical benefits

Dental benefits

Vision benefits

401K with company matching

Qualifications

• 3-5 years of experience, 5+ ideal for the Data Engineer role.
• 3+ years of AWS experience essential.
• Knowledge of ETL and Distributed Systems required.

Responsibilities

• Work in one of the world's largest data warehouse environments.
• Develop and support analytic technologies for customers.
• Understand business requirements and implement data solutions.

Skills

Advanced SQL

Python hands on Coding

Data Engineering Concepts

AWS Services (S3, DynamoDB)

Apache Spark

Data Warehousing (Snowflake, Databricks)

Education

Bachelors Degree

Tools

AWS Redshift

AWS Glue

AWS EMR

Amazon Kinesis

Job description

Overview

JOB TITLE: Data Engineer IV | LOCATION: Onsite in Seattle, WA | DURATION: 2 years with potential conversion | PAY RANGE: $79-89/hour

• Advanced SQL
• Python hands on Coding
• Data Engineering Concepts including experience to process big data in cloud
• A team player with good communication skills

Job Description

We are looking for a Data Engineer to join the Infrastructure Automation team. We have over 70 million customers, and developers all over the world rely on our storage, compute, and virtualized services. Our success depends on our world-class network and hardware infrastructure; we’re handling massive scale and rapid integration of emergent technologies. Our goal is to become “The Infrastructure Platform” for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.

Responsibilities

• As a Data Engineer you will be working in one of the world\'s largest and most complex data warehouse environments.
• You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
• You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Required Skills & Experience

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with Apache Spark / Elastic Map Reduce
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience working on and delivering end to end projects independently

Must-Have Skills

• AWS Services (S3, DynamoDB)
• Python, Spark, and advanced SQL
• Data Warehousing (Snowflake, Databricks)
• 3-5 years of overall experience, 5+ ideal
• 3+ years of AWS experience
• Understanding of ETL and Distributed Systems

Degree or Certification

• Bachelors Degree

Benefits

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

IND123