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Remote Google Android Developer Jobs in Detroit, MI

Gambyt

Software Engineer - Entry Level

Ann Arbor, MI · Remote

Remote (US Only) - Eastern Time Zone About Us Gambyt's mission is to make real-money gaming ... Ship production features across one or more platforms (web, backend, iOS, Android) * Write clean ...

Gambyt

Software Engineer - Entry Level

Ann Arbor, MI · Remote

Remote (US Only) - Eastern Time Zone About Us Gambyt's mission is to make real-money gaming ... Ship production features across one or more platforms (web, backend, iOS, Android) * Write clean ...

Deloitte

Databricks Engineer

Detroit, MI · On-site +1

Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Nityo Infotech

Network Cloud Engineer

Ann Arbor, MI · Remote

Hiring Sr. Network Cloud Engineer - Google Cloud Platform for a Contract role. This is remote position. Below is the detailed . If interested & want to discuss more about the role, please reach me on ...

Nityo Infotech

Network Cloud Engineer

Ann Arbor, MI · On-site +1

Company Description Hiring Sr. Network Cloud Engineer - Google Cloud Platform for a Contract role. This is remote position. Below is the detailed If interested & want to discuss more about the role ...

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All JobsRemote Google Android Developer JobsRemote Google Android Developer Jobs in Detroit, MI

Remote Google Android Developer information

See Detroit, MI salary details

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How much do remote google android developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote google android developer in Detroit, MI is $60.52, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $69.71 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Google Android Developer, you need strong proficiency in Java or Kotlin, a solid understanding of Android SDK, and experience with mobile app architecture, typically backed by a relevant degree or portfolio. Familiarity with development tools such as Android Studio, Git, Firebase, and knowledge of publishing on Google Play is essential. Effective communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These skills ensure high-quality, robust Android applications and successful teamwork in a remote environment.

How does a Remote Google Android Developer typically collaborate with team members across different time zones?

As a Remote Google Android Developer, you will often work with cross-functional teams distributed across various locations. Collaboration is facilitated through regular video meetings, project management tools, and asynchronous communication platforms like Slack or Jira. It's important to proactively communicate progress, ask clarifying questions, and document your work clearly to ensure everyone stays aligned. Flexibility with meeting times and strong self-management skills are key to thriving in this environment.

What does a Remote Google Android Developer do?

A Remote Google Android Developer designs, builds, tests, and maintains applications for devices running the Android operating system. They primarily use programming languages such as Java or Kotlin, and collaborate with teams to develop user-friendly, high-performance mobile apps. Working remotely, they communicate via digital tools and manage their tasks independently while adhering to project requirements and deadlines. Their responsibilities also include debugging, optimizing app performance, and ensuring security and compatibility across a range of Android devices.
What are popular job titles related to Remote Google Android Developer jobs in Detroit, MI? For Remote Google Android Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Google Android Developer jobs in Detroit, MI look for? The top searched job categories for Remote Google Android Developer jobs in Detroit, MI are:
Remote Google Android Developer jobs near you
Infographic showing various Remote Google Android Developer job openings in Detroit, MI as of May 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $125,875 per year, or $60.5 per hour.

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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