Data Engineer

Intelliswift - An LTTS Company; Seattle (WA); Remote; USD 100,000 - 125,000; Full time

Job summary

An innovative firm is seeking a talented Data Engineer to join their remote team. In this role, you will leverage your extensive experience in data engineering to design and implement robust data pipelines that support critical business operations. You will collaborate with cross-functional teams to enhance data integrity and reporting processes, ensuring that analytical infrastructure meets evolving business needs. This position offers the opportunity to work with cutting-edge AWS technologies and make a significant impact on the organization's success. If you are passionate about data and eager to drive efficiency, this is the perfect opportunity for you.

Qualifications

• 4+ years of experience in software development or data engineering.
• Deep understanding of data lifecycle and ETL processes.

Responsibilities

• Design and support analytical data infrastructure.
• Collaborate with teams to improve reporting and analysis processes.

Skills

SQL

pyspark

Python

R

Bash

Education

Bachelor's degree in Computer Science or related field

Tools

Redshift

S3

EMR

Glue

Job description

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Pay rate range - $65/hr. to $68/hr. on W2

100% Remote

Must Have

4+ years of industry experience in software development, data engineering, business intelligence, data science, or a related field.

SQL, pyspark, Python, R, Bash, , Redshift, S3, EMR, glue

Experience with data modeling, data warehousing, and building ETL pipelines

Job Description:

Looking for a Data Engineer who has a deep understanding of the full lifecycle of data generation to the end-user application.

We're looking for a leader to maintain the analytical infrastructure to support business-critical analyses such as operational reporting, forecasts, causal analysis, and operational health monitoring. You will directly influence the success of our organization by working on critical data engineering problems, building high-quality, accurate, and architecturally sound data pipelines that align with our business needs.

You will work across diverse science/engineering/business teams, acting as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects.

KEY PERFORMANCE AREAS

• Design, implement and support an analytical data infrastructure.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.

• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

• Collaborate with Product Manager, Analysts, and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Information Services

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