Data Engineer - Seattle, WA

AHU Technologies Inc.

United States

Remote

USD 90,000 - 130,000

Full time

14 days+

Get a reply from this recruiter

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

AHU Technologies Inc is seeking a skilled Data Engineer to join our remote team. You'll play a crucial role in data pipeline creation and maintenance, leveraging platforms such as Google Cloud and Azure. Ideal candidates have a Bachelor's degree and at least 5 years of relevant experience.

Your responsibilities include modernizing data pipelines, supporting CICD processes, and participating in Agile ceremonies. Join us to help shape our data practices and enhance our operational efficiency.

Qualifications

  • 5+ years of relevant engineering experience.
  • Experience in Big Table and ClickStream data migration.
  • Ability to learn and work quickly with emerging technologies.

Responsibilities

  • Contribute to data engineering projects and pipeline maintenance.
  • Modernize data pipelines using Databricks Delta Live Tables.
  • Participate in Agile ceremonies and contribute to engineering practices.

Skills

Data Engineering
SQL
Python
Google Cloud Platform (GCP)
Azure Databricks
Snowflake
CI/CD principles
Agile methodologies

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory
JIRA

Job description

Responsibilities

A day in the life: You will bring a high level of technical knowledge, but also an ability to spread knowledge to your co‑workers. You will help form the core of our engineering practice by contributing to all areas of development and operations (pre‑production to production). You will be an example of good engineering and help others refine their skills. You will be part of a day‑to‑day production release team and may perform on‑call support functions as needed. A DevOps mindset is key to success in this role, as engineers are commonly part of full DevOps teams that own all parts of software development, release pipelines, production monitoring, security and support.

  • Data Engineering Projects
  • Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure Cloud, Azure Databricks, Snowflake
  • Includes engineering documentation, knowledge transfer to other engineers, future enhancements and maintenance
  • Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume
  • Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog
  • Leverage existing CICD process for pipeline deployment
  • Adhere to PII encryption and masking standards
  • Orchestration tools - ADF, AirFlow, FiveTran
  • Languages - SQL, Python
  • Data Modeling - Star and Snowflake Schema
  • Streaming - Kafka, EventHub, Spark, Snowflake Streaming
  • Support improvements to current CICD process
  • Production monitoring and failure support
  • Provide an escalation point and participate in on‑call support rotations
  • Participate in discussions on how to improve DevOps
  • Be aware of product release and how that impacts our business
  • Take part in Agile ceremonies
  • Perform engineering assignments using existing procedures and best practices
  • Conduct research to aid in product troubleshooting and optimization efforts
  • Participate in and contribute to our Engineering Community of Practice
Qualifications
  • Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
  • 5+ years of relevant engineering experience
  • Google Professional Data Engineer Certification is preferred
  • Experience in Big Table, ClickStream data migration, Semi‑Structured and Un‑Structured data management
  • Experience with Google GCP and BigQuery
  • Experience with developing complex SQL queries
  • Experience with CI/CD principles and best practices
  • Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts
  • Experience working with a Data Engineering team and understanding of Data Engineering practices
  • Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
  • Experience with bug tracking and task management software such as JIRA, etc.
  • Experienced in managing outages, customer escalations, crisis management, and other similar circumstances

This is a remote position.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Engineer
Data Engineer

Compunnel, Inc. • Lisle (IL)

On-site
USD 100,000 - 130,000
Data Engineer
Data Engineer

Compunnel, Inc. • Westlake (OH)

On-site
USD 90,000 - 120,000
DATA ENGINEER
DATA ENGINEER

Black Financial Consult • United States

Remote
USD 120,000 - 160,000
Data Engineer
Data Engineer

Pashtek • Salesforce Partner | Data & AI • United States

Remote
USD 83,000 - 179,000
Software Engineer- Data Engineering
Software Engineer- Data Engineering

Noctua Technology • Washington, Virginia (MN), California (MO)

Remote
USD 103,000 - 170,000
Data Engineer
Data Engineer

Compunnel, Inc. • Pennsylvania

On-site
USD 85,000 - 125,000
Data Engineer
Data Engineer

SpaceCoast AV Consultants • Town of Florida (NY)

On-site
USD 110,000 - 140,000
Health, dental, and vision insurance
401(k) with company matching
Generous paid time off and parental leave
+1
Data Engineer
Data Engineer

SZNS • Reston (VA)

On-site
USD 100,000 - 130,000
Competitive salary and benefits package
Hybrid work environment
Collaborative work environment
+1
Data Engineer
Data Engineer

ReturnPro • Town of Florida (NY)

On-site
USD 110,000 - 150,000
Data Engineer
Data Engineer

SZNS Solutions • Reston (VA)

On-site
USD 120,000 - 150,000
Competitive salary and benefits package
Hybrid work environment
Continuous learning and development opportunities
+1