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Remote Google Workspace Developer Jobs in Michigan

Gambyt

Delivery Leader

Ann Arbor, MI · Remote

Experience working with tools such as Jira, Google Workspace, or similar collaboration tools ... Remote work environment * Competitive compensation packages * Performance and anniversary bonus ...

Gambyt

Delivery Leader

Ann Arbor, MI · Remote

Experience working with tools such as Jira, Google Workspace, or similar collaboration tools ... Remote work environment * Competitive compensation packages * Performance and anniversary bonus ...

Deloitte

Databricks Engineer

Detroit, MI · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

Evenbound

HubSpot Strategist

Grand Haven, MI · On-site +1

$78K - $88K/yr

Comfortable meeting deadlines and working in a remote, fast-paced, and collaborative environment ... HubSpot CRM * Google Workspace * Google Ads * Google Analytics * Slack * Rocketlane * PandaDoc

Learning Care Group

IT Help Desk Agent

Novi, MI · On-site +1

$23.42 - $26/hr

... remote access support, Microsoft 365 and Google Workspace issues, and network and Wi-Fi connectivity problems. * Follow documented Standard Operating Procedures (SOPs) and knowledge base articles to ...

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Remote Google Workspace Developer information

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

To thrive as a Remote Google Workspace Developer, you need strong programming skills (especially in JavaScript), experience with Google Apps Script, and a solid understanding of Google Workspace APIs and integration principles. Familiarity with cloud development tools, OAuth authentication, and certifications such as Google Cloud Professional Collaboration Engineer are highly beneficial. Excellent problem-solving, self-motivation, and proactive communication are critical soft skills for remote collaboration and project delivery. These capabilities are essential to efficiently build, automate, and support scalable solutions within Google Workspace environments while ensuring smooth teamwork across distributed teams.

What are some common challenges Remote Google Workspace Developers face when integrating third-party applications?

Remote Google Workspace Developers often encounter challenges related to API limitations, authentication issues, and maintaining security best practices when integrating third-party applications. Troubleshooting compatibility between Google Workspace tools and external platforms can require creative problem-solving and up-to-date knowledge of both ecosystems. Collaboration with cross-functional teams, such as IT security and end-users, is essential to ensure seamless and compliant integrations.

What does a Remote Google Workspace Developer do?

A Remote Google Workspace Developer designs, builds, and maintains custom solutions and integrations for Google Workspace (formerly G Suite) applications such as Gmail, Drive, Docs, Sheets, and Calendar. They use APIs, scripts (primarily Google Apps Script), and other development tools to automate workflows, enhance productivity, and connect Google Workspace with third-party systems. Working remotely, these developers collaborate with teams and clients online to deliver tailored solutions that meet specific business needs.

What is the difference between Remote Google Workspace Developer vs Remote Google Apps Script Developer?

AspectRemote Google Workspace DeveloperRemote Google Apps Script Developer
Required CredentialsGoogle Cloud certifications, programming skillsGoogle Apps Script certifications, scripting experience
Work EnvironmentDevelops custom solutions within Google Workspace appsCreates scripts and automations within Google Apps
Employer & Industry UsageTech companies, enterprises using Google WorkspaceOrganizations automating workflows with Apps Script

Both roles involve working within the Google ecosystem, but a Remote Google Workspace Developer focuses on building comprehensive solutions across Google Workspace apps, often requiring broader cloud skills. In contrast, a Remote Google Apps Script Developer specializes in scripting and automating tasks within Google Apps like Sheets, Docs, and Forms. The choice depends on the scope and depth of development needed.

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Remote Google Workspace Developer jobs near you

Google Cloud Platform Data Engineer

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

Other

Posted yesterday

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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