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Remote Python Data Analysis Jobs in Peoria, AZ (NOW HIRING)

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of ... Hands-on with GCP data and analytics services - Cloud DataProc, Cloud Dataflow, Cloud Dataprep ...

Inherent Technologies

Sr. Data Engineer

Chandler, AZ · Remote

$117K - $140K/yr

Strong Python and SQL programming Experience with Data warehousing techniques(Star Schema ... it for analytical purposes. Designs and implements optimized ELT processes to extract, transform ...

Veterans Benefits Administration

Data Scientist

Phoenix, AZ · On-site +1

$106K - $158K/yr

... R, Python, PowerBI, Tableau, and cloud analytics platforms. Conduct data extraction by using ... S. Department of Education Additional information This is not a Virtual/Remote Position. Work ...

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How much do remote python data analysis jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote python data analysis in Peoria, AZ is $57.53, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.
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GCP Architect

GCP Architect

Inherent Technologies

Chandler, AZ • Remote

$65.25 - $84/hr

Other

Posted 5 days ago

Job description

Position: GCP Architect

Location: Secaucus, NJ/Remote

Duration: 1 Years


JD:
8+ years of experience in Data Engineering or L3 level of support in data Analytics
General Description
Experience with Data Lake, data warehouse ETL pipelines build and design.
Hands-on with GCP data and analytics services - Cloud DataProc, Cloud Dataflow, Cloud Dataprep , Apache Beam/ composer, Cloud BigQuery,
Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines to ensure seamless data flow from various sources to our data warehouse using DBT or GCP BigQuery.
Data Modelling: Implement and manage data models in BigQuery to support business analytics and reporting needs.
Version Control: Utilize GIT for version control to manage changes in data pipelines, schemas, and related code.
Solid coding skills in languages such as SQL, Python, or Java
8+ years of experience as a Data Engineer or in a similar role
Technical Requirements
Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.
Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Design data integrations and data quality framework.
Design and evaluates open source and vendor tools for data lineage.
Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Plan, create, and maintain data architectures while also keeping it aligned with business requirements.
Work closely with business and application delivery team on new digital project/implementation to understand solution and implemented data structure so that all relevant data engineer work including reports and various data-related enhancement can be implemented accordingly as part of the project.
Develop report/dashboard/dataset for business user base on request.
Assist to support existing reports/dashboard/dataset and also maintain report/dashboard/dataset repository.
Soft Skills
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving and critical thinking skills.
Exceptional project management and organizational abilities.
Team collaboration and leadership skills.
Demonstrate a general knowledge of market trends and competition.
Be a strong team player.
Client-focused approach with a commitment to delivering exceptional customer service.
Certifications (Good to have)
Google Professional Data Engineer
Google Professional Data Architect
Educational Qualifications
Bachelor's Degree in Computer Science, Computer Engineering or a closely related field.