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Remote Startup Data Engineer Jobs in Arizona (NOW HIRING)

Lead Data Platform Architect / Data bricks Migration Lead Location: Remote Position Type: Contract ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

Agentic Software Engineer II (Remote)

Scottsdale, AZ · Remote

$97K - $133K/yr

... data alongside the Risk and Security teams, and consult senior engineers on architectural calls ... This role is fully remote within the US, on a fast-paced, highly collaborative team that spans US ...

New

Agentic Software Engineer III (Remote)

Scottsdale, AZ · Remote

$57.50 - $77.25/hr

About the job Agentic Software Engineer III Arrivia Remote (US) Full-time Paste this url into your ... data sources, and platform services. This role is fully remote within the US, on a fast-paced ...

New

Senior Agentic Software Engineer (Remote)

Scottsdale, AZ · Remote

$122K - $161K/yr

About the job Senior Agentic Software Engineer Arrivia Remote (US) Full-time Paste this url into ... data, and platform services. This role is fully remote within the US, on a fast-paced, highly ...

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As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... Proficiency in Civil 3D software * 6 or more years of related project experience #LI-AA1 #LI-Remote ...

As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... Proficiency in Civil 3D software * 6 or more years of related project experience #LI-AA1 #LI-Remote ...

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Manufacturing Engineer - Remote

Phoenix, AZ · On-site +1

$60K - $65K/yr

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Senior Sales Engineer II, Enterprise

Scottsdale, AZ · Remote

$55.75 - $71.75/hr

Location- Remote Reports to the Sr. Director, Engineering- Enterprise Travel is 50% Your Impact ... Drive Customer-Based Product Innovation: deliver detailed, data-driven customer feedback and ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Solid programming skills in languages such as Python or R is a plus. * Experience with SQL ...

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Showing results 1-20

Remote Startup Data Engineer information

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Arizona? The most popular types of Startup Data Engineer jobs in Arizona are:
What are popular job titles related to Remote Startup Data Engineer jobs in Arizona? For Remote Startup Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Arizona look for? The top searched job categories for Remote Startup Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Startup Data Engineer jobs? Cities in Arizona with the most Remote Startup Data Engineer job openings:
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 5 days ago


Job description

Job Title: Lead Data Platform Architect / Data bricks Migration Lead Location: Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform. The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration.

Key Responsibilities Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP). Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes.

Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs. Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows.

Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks. Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog. AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output

Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence. Required Technical Skills & Qualifications Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark. Legacy Database Expertise: Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures.

Ability to reverse-engineer and refactor legacy database logic into distributed paradigms. Orchestration Tools: Hands-on experience with Apache Airflow or similar modern workflow orchestrators. Performance Tuning: Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles.

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows. Experience Level: 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks Certified Solutions Architect AWS Certified Database Specialist or equivalent Cloud Certifications