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Replicate Jobs in Arizona (NOW HIRING)

Lead Data Engineer

Phoenix, AZ

$113K - $136K/yr

Lead the development of ELT pipelines using Qlik Replicate, Snowflake, dbt Cloud, and CI/CD tools * Drive data governance, security, compliance, and data quality initiatives * Analyze and resolve ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

For this position, pay will be variable by location - plus tips Our To-Go Specialist go all-in on ensuring our Guests can replicate our PASSION for quality in their own homes through our takeout ...

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Replicate information

What are Replicate jobs?

Replicate jobs refer to roles involved with the Replicate platform, which is a service that allows developers and businesses to run machine learning models in the cloud. These jobs typically focus on deploying, managing, and scaling AI models, as well as integrating them into various applications. Professionals in these roles may work on building APIs for ML models, optimizing model performance, and ensuring reliable, scalable infrastructure. Replicate jobs are sought after by organizations looking to leverage machine learning capabilities without managing their own hardware or deep ML infrastructure.

What are the key skills and qualifications needed to thrive as a Replicate Machine Learning Engineer, and why are they important?

To thrive as a Replicate Machine Learning Engineer, you need a deep understanding of machine learning concepts, proficiency in Python, and experience with deploying models, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, cloud platforms, version control (Git), and model serving frameworks is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical stakeholders. These skills enable the efficient development, deployment, and scaling of machine learning models to meet user and business needs.

What are some common challenges faced by professionals working in machine learning model replication roles, and how can they be addressed?

Professionals tasked with replicating machine learning models often face challenges such as incomplete documentation, discrepancies in data preprocessing, and differences in software environments. These issues can lead to results that are difficult to reproduce or validate. To address these challenges, it's important to communicate closely with original model developers, use containerization tools like Docker to standardize environments, and meticulously document each step of the replication process. Collaboration with cross-functional teams, including data engineers and researchers, also helps ensure a smoother replication workflow.
Infographic showing various Replicate job openings in Arizona as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Lead Data Engineer

$113K - $136K/yr

Other

Posted 14 days ago


Job description

Role Overview
The Lead Data Engineer will serve as a technical leader responsible for defining data architecture, leading the development of scalable and secure data platforms, and driving enterprise-wide data engineering best practices. This role combines hands-on engineering with technical leadership, focusing on building metadata-driven, automated ELT pipelines using Snowflake, Qlik Replicate, dbt Cloud, and AWS services.
The position plays a key role in data governance, quality, performance optimization, and release management while partnering closely with business stakeholders to translate data requirements into robust architecture solutions.
Key Responsibilities
  • Design and lead scalable data architecture aligned with business strategy
  • Build and optimize real-time and batch data pipelines for large-scale data environments
  • Lead the development of ELT pipelines using Qlik Replicate, Snowflake, dbt Cloud, and CI/CD tools
  • Drive data governance, security, compliance, and data quality initiatives
  • Analyze and resolve complex performance and data reliability issues
  • Review, approve, and manage code deployments across environments including production and DR
  • Enforce testing, automation, monitoring, and observability best practices
  • Mentor junior engineers and provide technical guidance to teams
  • Collaborate with business and leadership teams to deliver data-driven solutions
Technical & Business Skills
  • Deep expertise in Snowflake, including medallion architecture, Snowpipe, RBAC, and data masking
  • Strong hands-on experience with Qlik Replicate, dbt Cloud, and GitLab CI/CD
  • Advanced proficiency in Python, PySpark, and SQL
  • Experience building pipelines across SQL Server, Oracle, Mainframe DB2, files, and Snowflake
  • Strong AWS experience: S3, Lambda, Glue, SQS, SNS, RDS
  • Experience with structured and semi-structured data formats (CSV, JSON, XML, Excel, VSAM)
  • Orchestration using dbt Cloud and Astronomer Airflow
  • Experience implementing logging, monitoring, alerting, observability (e.g., Dynatrace)
  • Strong experience with schema drift detection and schema evolution
  • Proven expertise in data security, governance, tokenization, and Snowflake masking policies
  • Financial/banking domain experience is a plus
  • One or more relevant technical certifications required