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Remote Google Web Developer Jobs in Michigan (NOW HIRING)

Georgia IT Inc

Software engineer - Remote

Detroit, MI · Remote

Software Engineer - Remote Location: Remote (onsite in Detroit, MI also an option) Duration: 06 ... Experience in JavaScript, Typescript, Node.js (Express web application framework), and Angular ...

OneStream Software

Cloud DevOps Engineer

Birmingham, MI · Remote

$50.25 - $69/hr

Remote, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental ... Microsoft Azure, Amazon Web Services (AWS), or Google Cloud (GCP). * Windows Server, IIS, Microsoft ...

OneStream Software

Cloud DevOps Engineer

Rochester, MI · Remote

$48.50 - $66.50/hr

Remote, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental ... Microsoft Azure, Amazon Web Services (AWS), or Google Cloud (GCP). * Windows Server, IIS, Microsoft ...

OneStream Software

Site Reliability Engineer

Rochester, MI · Remote

$52.50 - $69.75/hr

Remote, United States Employment Type: Full-Time Benefits Offered: Vision, Medical, Life, Dental ... Microsoft Azure, Amazon Web Services (AWS) or Google Cloud (GCP). Preferred Education and ...

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OneStream Software

Site Reliability Engineer

Birmingham, MI · Remote

$54.25 - $72.25/hr

Remote, United States Employment Type: Full-Time Benefits Offered: Vision, Medical, Life, Dental ... Microsoft Azure, Amazon Web Services (AWS) or Google Cloud (GCP). Preferred Education and ...

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Remote Google Web Developer information

How does a Remote Google Web Developer typically collaborate with geographically dispersed teams?

As a Remote Google Web Developer, you'll frequently work with teams located in different time zones and regions. Collaboration is managed through a combination of project management tools, version control systems like Git, and regular virtual meetings via platforms such as Google Meet. Clear communication, proactive status updates, and thorough documentation are essential to ensure alignment and progress. This setup allows for flexibility, but also requires strong self-management and the ability to quickly adapt to asynchronous workflows.

What are the key skills and qualifications needed to thrive as a Remote Google Web Developer, and why are they important?

To thrive as a Remote Google Web Developer, you need strong proficiency in HTML, CSS, JavaScript, and experience with frameworks like Angular or React, along with a relevant degree or equivalent experience. Familiarity with Google's web development tools, APIs, Google Cloud Platform, and version control systems like Git is typically required. Excellent problem-solving skills, self-motivation, and effective written communication are crucial for remote collaboration and project delivery. These competencies ensure high-quality, scalable web solutions and seamless teamwork in a distributed environment.

What are Remote Google Web Developers?

Remote Google Web Developers are professionals who design, build, and maintain websites or web applications using Google's technologies, such as Google Cloud, Firebase, or web development frameworks supported by Google. They work from locations outside of a traditional office, collaborating with teams and clients online. Their primary tasks include coding, debugging, optimizing web performance, and ensuring security using best practices. Many businesses hire remote Google Web Developers to leverage specialized skills while offering flexible work arrangements. This role often requires proficiency in front-end and back-end web technologies, as well as experience with Google's development ecosystem.
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Remote Google Web Developer jobs near you

Google Cloud Platform Data Engineer

Reliable Software Resources

Detroit, MI • Remote

$104K - $125K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Role: Google Cloud Platform Data Engineer

Location: Detroit, MI

Hire-type: Contract

Experience: 3–6 years  |  Detroit, MI (mandatory) — Remote up to 50% travel 

Python

Google Cloud Platform Native

BigQuery

ETL / ELT Pipelines

Data Modeling

SQL

ABOUT THE ROLE

As a Google Cloud Platform Data Engineer at DataFactZ you will design, build, and maintain cloud-native data pipelines and data warehouse solutions on Google Cloud. Working closely with data architects and analytics teams, you will deliver reliable ingestion, transformation, and serving pipelines that power enterprise reporting, analytics, and data products — handling structured and semi-structured data at scale using Python and Google Cloud Platform-native tooling.

 

KEY RESPONSIBILITIES

•      Build and maintain Python-based ETL/ELT pipelines for ingesting and transforming structured (BigQuery, Cloud SQL, Spanner) and semi-structured (JSON, Avro, Parquet, CSV) data on Google Cloud Platform

•      Develop batch and streaming data pipelines using Dataflow (Apache Beam) and Dataproc (PySpark) for large-scale data processing workloads

•      Implement data models in BigQuery including star schema, snowflake, and flat wide-table designs with appropriate partitioning and clustering

•      Write complex BigQuery SQL transformations, stored procedures, and scheduled queries for data warehouse population and aggregation layers

•      Build and maintain dbt models for transformation layer development, testing, and documentation within BigQuery

•      Orchestrate multi-step pipeline workflows using Cloud Composer (Airflow), handling dependencies, retries, and alerting

•      Ingest data from diverse sources including APIs, relational databases (Cloud SQL, AlloyDB), flat files, and streaming topics (Pub/Sub)

•      Monitor pipeline health, optimize query performance and costs in BigQuery, debug failures, and support production deployments

•      Write unit tests, maintain technical documentation, and participate in architecture and code reviews

 

REQUIRED SKILLS

•      Python: Strong proficiency for data pipeline development including pandas, PySpark, Apache Beam, and Google Cloud Platform client library usage

•      Google Cloud Platform services: Hands-on experience with BigQuery, Cloud Storage, Dataflow or Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•      Data modeling: Practical experience implementing dimensional models (star/snowflake schema) and understanding of data warehousing concepts

•      SQL: Strong BigQuery SQL skills including window functions, nested/repeated fields, partitioning, clustering, and performance tuning

•      ETL/ELT pipelines: Experience building batch and streaming data pipelines for structured and semi-structured datasets

•      Data formats: Proficiency working with Parquet, Avro, JSON, and CSV in distributed processing contexts

•      Version control: Proficient with Git and collaborative development workflows

 

PREFERRED

•      Google Cloud Platform Professional Data Engineer certification

•      Experience with dbt for BigQuery transformation layer development

•      Familiarity with data quality frameworks: Great Expectations, dbt tests, or custom validation pipelines

•      Exposure to data catalog and lineage tooling: Google Cloud Platform Dataplex or Data Catalog

•      Experience with analytical or BI tooling: Looker, Looker Studio, or Tableau connected to BigQuery

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