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Trainee Azure Data Factory Developer Jobs in Phoenix, AZ

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines * Knowledge of Azure Data Platform components (Synapse, Data Factory, Data Lake, Power BI, etc.

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines * Knowledge of Azure Data Platform components (Synapse, Data Factory, Data Lake, Power BI, etc.

LHH US

Data Engineer

Phoenix, AZ

$110K - $120K/yr

Data Engineer We're hiring an experienced Data Engineer to support eligibility and membership data ... Azure Synapse, Azure Data Factory * Eligibility, membership, contract, or carve?out logic * CI/CD ...

Eide Bailly

Integration Developer

Phoenix, AZ · On-site +1

$75K - $100K/yr

Remote A Day in the Life The Integration Developer designs and implements integration solutions ... Workato, Azure Data Factory, Boomi) * Meets with project leadership & interprets conceptual ideas ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.

Eide Bailly

Integration Developer

Phoenix, AZ · On-site +1

$75K - $100K/yr

Remote A Day in the Life The Integration Developer designs and implements integration solutions ... Workato, Azure Data Factory, Boomi) * Meets with project leadership & interprets conceptual ideas ...

Eide Bailly LLP

Integration Developer

Phoenix, AZ · On-site +1

$75K - $100K/yr

Remote A Day in the Life The Integration Developer designs and implements integration solutions ... Workato, Azure Data Factory, Boomi) * Meets with project leadership & interprets conceptual ideas ...

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How much do trainee azure data factory developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for trainee azure data factory developer in Phoenix, AZ is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $65.14 per hour, depending on experience, location, and employer.
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Trainee Azure Data Factory Developer jobs near you
Infographic showing various Trainee Azure Data Factory Developer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Temporary, and 4% Contract. Highlights an 74% Physical, and 26% Remote job distribution, with an average salary of $120,615 per year, or $58 per hour.
Data Engineer (Warehouse, BI & SQL DBA)

Data Engineer (Warehouse, BI & SQL DBA)

Barrett-Jackson Auction Co, LLC

Scottsdale, AZ • On-site

Full-time

Posted 9 days ago

Job description

Job Title: Data Engineer (Warehouse, BI & SQL DBA)
Department: IT
Reports to: Enterprise Architect
Position Purpose:
We are seeking a Data Engineer (Warehouse, BI & SQL DBA) to join our Scottsdale-based team and own our end-to-end Microsoft data platform-from database design and administration, through reliable data pipelines, into a governed enterprise Data Warehouse/Lakehouse (Azure Synapse and/or Microsoft Fabric), and ultimately enabling analytics and reporting in Power BI. This role blends hands-on SQL Server/Azure SQL engineering and DBA responsibilities with modern ELT/ETL development, dimensional modeling, performance tuning, security, and data governance. You will partner closely with application teams, business stakeholders, and analytics users to deliver trusted, well-documented datasets and scalable solutions that support operational and strategic decision-making.
Key Responsibilities:
  • Design, implement, and administer SQL Server and Azure SQL databases, including schema design, indexing strategies, constraints, and data integrity controls.
  • Own core DBA functions: backup/restore, HA/DR, patching and upgrades, capacity planning, monitoring/alerting, and routine maintenance.
  • Build and optimize ELT/ETL pipelines using Microsoft tooling (e.g., Azure Data Factory/Synapse Pipelines and/or Fabric Data Factory), integrating data from on-prem and cloud sources.
  • Develop scalable transformation patterns using T-SQL and Spark (where applicable), implementing repeatable, testable data-processing frameworks.
  • Design and manage the enterprise Data Warehouse/Lakehouse, including dimensional modeling (star/snowflake), incremental loads, historization (SCD), and semantic layer alignment for BI.
  • Administer and optimize Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse), including workspace organization, resource governance, and performance/cost tuning.
  • Enable Power BI reporting by delivering curated datasets, developing and supporting semantic models, and partnering with analysts on performance, refresh strategies, and best practices.
  • Implement data quality, reconciliation, and observability (logging, lineage, SLAs), and drive root-cause analysis for data issues across pipelines and reporting.
  • Establish and enforce security and governance controls (RBAC, least privilege, encryption, PII handling, auditability) across databases, lakehouse/warehouse, and BI.
  • Automate deployments and operations using Git-based workflows and CI/CD (Azure DevOps/GitHub), including infrastructure-as-code where appropriate.
  • Create technical documentation for data models, source-to-target mappings, operational runbooks, and support procedures.
  • Collaborate with application engineering, product, and business stakeholders to translate requirements into reliable data products and deliver iteratively in an Agile environment.

Experience/Qualifications:
  • Experience using AI-assisted tools to support database administration, SQL development, reporting, troubleshooting, and workflow optimization is preferred.
  • 6+ years of hands-on experience in data engineering and/or data warehouse engineering, including building production-grade pipelines and curated datasets.
  • 4+ years administering and tuning SQL Server and/or Azure SQL (query optimization, indexing, security, backup/restore, and maintenance).
  • Strong proficiency with T-SQL, relational data modeling, and performance tuning (execution plans, statistics, partitioning, and concurrency patterns).
  • Experience building ELT/ETL with Azure Data Factory/Synapse Pipelines and/or Fabric Data Factory; familiarity with event/file-based ingestion patterns.
  • Experience designing and operating a modern warehouse/lakehouse using Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse, notebooks/Spark, and orchestration).
  • Strong understanding of data warehouse concepts and modeling techniques (Kimball dimensional modeling, SCD, data marts, and semantic layer alignment).
  • Power BI experience supporting enterprise reporting (datasets/semantic models, refresh strategies, performance optimization, and workspace governance).
  • Experience with Azure security and identity patterns (Azure AD, managed identities, Key Vault, RBAC) and protecting sensitive data (PII) end-to-end.
  • Hands-on experience with DevOps practices: Git branching, code reviews, CI/CD, and automated deployments (Azure DevOps and/or GitHub).
  • Strong troubleshooting skills across data pipelines, databases, and BI; ability to communicate clearly with technical and non-technical stakeholders.
  • Experience using AI-assisted tools to support database administration, SQL development, reporting, troubleshooting, and workflow optimization is preferred.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

Culture
Barrett-Jackson's culture is live and in-person. Team members are in the office 5 days per week, 8am to 5pm at the Scottsdale, AZ headquarters. During live events the company largely travels together to produce and ensure each event is a success. This requires weekend work and long hours. Most will tell you they'd prefer to be nowhere else. There is unparalleled excitement and energy to each and every event.

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