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Remote Data Pipeline Jobs in Arizona (NOW HIRING)

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... In this role, you will focus primarily on designing and optimizing cloud-based data pipelines ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... In this role, you will focus primarily on designing and optimizing cloud-based data pipelines ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham ACCOUNTABILITIES: Design, develop, test, and maintain data pipelines, dataflows, notebooks ...

Data Engineer / BI Developer

Phoenix, AZ · On-site +1

$70K - $80K/yr

Build and maintain the data pipeline supporting traceability and status reporting * Develop ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... pipelines. · Build and maintain scalable ingestion frameworks for batch and streaming data sources ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs. Defines data requirements and gathers and ...

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Establish operational metrics for data quality, pipeline reliability, model performance, analytics ...

... pipelines. * Demonstrated presentation skills along with strong business acumen. Ability to ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Remote (Preferred: Phoenix, Raleigh, Dallas) Contract Duration: 6 Months Job Summary We are seeking ... Develop and manage ETL processes and data pipelines to ensure accurate data integration. * Create ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Proven success in driving measurable pipeline and ROI * Experience building marketing functions ...

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Showing results 1-20

Remote Data Pipeline information

What is the difference between Remote Data Pipeline vs Data Engineer?

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

What are the most commonly searched types of Data Pipeline jobs in Arizona?

The most popular types of Data Pipeline jobs in Arizona are:

What job categories do people searching Remote Data Pipeline jobs in Arizona look for?

The top searched job categories for Remote Data Pipeline jobs in Arizona are:

What cities in Arizona are hiring for Remote Data Pipeline jobs?

Cities in Arizona with the most Remote Data Pipeline job openings:

Senior AI Engineer / Data Scientist

Chandler, AZ • Remote

Koantek
IT Services • 11 - 50 employees

Contractor

Re-posted 2 days ago


Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.