1

Data Platform Developer Jobs in Arizona (NOW HIRING)

Senior Data Platform Engineer

Phoenix, AZ

$100K - $135K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Phoenix, AZ We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

Senior Data Platform Architect

Scottsdale, AZ

$67.25 - $89.75/hr

Acts as the technical authority aligning data engineering, analytics, and application development with platform strategy and best practices. Key Responsibilities: * Define and maintain the end-to-end ...

New

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.75 - $90.50/hr

Required : • 8+ years of experience in data engineering, data architecture, or platform engineering • 3+ years designing and implementing cloud-based data platforms (Azure preferred) • Proven ...

New

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

Partner with the Sr. Data Platform Architect on the underlying data foundation and with full stack developers on application-layer integration * Optimize performance, cost, and reliability across AI ...

New

next page

Showing results 1-20

Data Platform Developer information

What is the difference between Data Platform Developer vs Data Engineer?

AspectData Platform DeveloperData Engineer
Primary FocusDesigning and developing data platforms and infrastructureBuilding and maintaining data pipelines and workflows
Skills & CertificationsSQL, cloud platforms, data architecture, certifications like AWS or AzureETL tools, programming (Python, Java), cloud skills, certifications in data engineering
Work EnvironmentCollaborates with data scientists, analysts, and IT teamsWorks closely with data analysts, software engineers, and infrastructure teams
Industry UsageUsed across industries for data platform development and managementCommonly employed for building scalable data pipelines in tech, finance, healthcare

While both roles involve working with data infrastructure, Data Platform Developers focus on creating and maintaining the overall data platforms, whereas Data Engineers primarily build and optimize data pipelines. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

Senior Data Platform Engineer

Senior Data Platform Engineer

Eitacies Inc

Phoenix, AZ

$100K - $135K/yr

Full-time

Retirement

Posted 27 days ago


Job description

Benefits:
  • 401(k)

Senior Data Platform Engineer
Onsite Phoenix, AZ
Job Description

We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform.
Key Responsibilities:
  • Design and maintain Airflow DAGs for production data workflows
  • Develop and optimize Spark / PySpark jobs on Dataproc
  • Build and optimize complex SQL transformations
  • Develop REST APIs using FastAPI Python to support data services
  • Implement robust data quality and validation frameworks
  • Monitor pipeline performance, retries, and SLA compliance
Required Skills:
  • 6+ years of data engineering experience
  • Strong Python programming skills
  • Production experience with Apache Spark PySpark
  • Experience with Airflow DAG development
  • Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
  • Experience building APIs using FastAPI
  • Strong SQL and data modeling knowledge
  • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)