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Junior Data Engineering Jobs in Arizona (NOW HIRING)

Synergie Systems

Junior AI Engineer

Phoenix, AZ · On-site

... data, and production issues. Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · Generative AI / LLMs · Prompt engineering and LLM evaluation · RAG and vector ...

Accenture

Knowledge Modeler / Ontologist Manager

Scottsdale, AZ · On-site

$55.25 - $71.50/hr

Work effectively within cross-functional delivery teams spanning Data Engineering, AI/ML, Product, and Business SMEs * Collaborate with and support junior team members, sharing knowledge and modeling ...

W3Global Inc.

Junior Electrical Estimator

Mesa, AZ

$65K - $90K/yr

Validate estimates using historical cost data and internal benchmarks * Identify and communicate ... Bachelor's degree in Engineering (preferred) or equivalent technical experience * 2-5 years of ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... junior team members What you bring to the table! * 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

... junior team members What you bring to the table! * 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... junior team members What you bring to the table! * 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production

Master Electronics

Data Scientist II

Phoenix, AZ

... junior team members What you bring to the table! * 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of building and deploying ML models in production

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Arizona

Junior Data Engineering information

See Arizona salary details

$31.2K

$66.9K

$102K

How much do junior data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior data engineering in Arizona is $66,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,600.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

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

What are popular job titles related to Junior Data Engineering jobs in Arizona?

For Junior Data Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Arizona look for?

The top searched job categories for Junior Data Engineering jobs in Arizona are:

What cities in Arizona are hiring for Junior Data Engineering jobs?

Cities in Arizona with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,909 per year, or $32.2 per hour.

Snowflake Architect/Modeler (Azure Focus)

xCroTek

Snowflake, AZ • On-site

$120 - $150/hr

Other

Posted 14 days ago

Job description

April 7, 2026

5 Min Read

Job Category: Developer

Job Type: Full Time

Job Location: Remote

Job status: Open

About xCroTek

xCroTek is a product- and service-based AI software company that builds innovative, AI-powered solutions to drive intelligent automation and digital transformation. We specialize in creating scalable, impactful technologies for modern businesses.

Job Overview

We are looking for a skilled Snowflake Architect/Modeler with 5-7 years of experience to lead the design and implementation of scalable data solutions on the Snowflake platform hosted on Azure. In this role, you will architect data pipelines adhering to the Medallion Architecture (Bronze, Silver, Gold layers), research legacy source systems, and create optimized data models to enable robust analytics and business intelligence. The ideal candidate excels in translating complex business requirements into technical designs, with a strong emphasis on data governance, performance, and seamless integration with Azure services. This position offers the chance to drive data modernization initiatives in a collaborative, Azurecentric environment.

Key Responsibilities
  • Architect comprehensive Snowflake solutions following the Medallion Architecture framework, including ingestion into Bronze (raw), transformation to Silver (refined), and curation into Gold (aggregated) layers.
  • Research and analyse source systems (e.g., on-premises databases, SaaS applications) to document tables, columns, relationships, and underlying business logic in existing data processing workflows.
  • Design Snowflake-compatible data models using Erwin for conceptual, logical, and physical modeling; generate DDL scripts; and create detailed source-to-target mappings for ETL/ELT processes.
  • Develop and optimise data ingestion pipelines using Snowflake features such as Snowpipe for continuous loading, Streams for change data capture, Tasks for scheduling, and Dynamic Tables for materialisation.
  • Collaborate with stakeholders, data engineers, and Azure teams to define requirements, ensure data lineage, and implement secure, compliant data flows integrated with Azure services like Azure Data Factory, Synapse, and Blob Storage.
  • Perform data quality assessments, performance tuning, and optimisation of queries and warehouses to support high-volume analytics on Azure.
  • Lead data migration and modernisation projects from legacy systems to Snowflake on Azure, ensuring minimal downtime and adherence to best practices.
  • Document architectures, mappings, and designs; conduct peer reviews; and mentor junior team members on Snowflake and Azure integrations.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5-7 years of experience in data architecture, modeling, and engineering, with at least 3 years hands‑on with Snowflake on Azure.
  • Expertise in Medallion Architecture implementation, including layering strategies for data ingestion, transformation, and consumption.
  • Proven ability to reverse‑engineer source systems, capturing metadata (tables, columns) and business rules for accurate data modeling.
  • Proficiency in data modeling tools like Erwin for designing relational and dimensional models; experience generating DDLs and creating source‑to‑target mapping documents.
  • Strong hands‑on experience designing and developing Snowflake native features: Snowpipe, Streams, Tasks, Time Travel, and clustering for Azure‑hosted environments.
  • In‑depth knowledge of SQL for advanced querying, optimisation, and Azure‑Snowflake integrations (e.g., Azure AD for authentication, external stages).
  • Familiarity with Azure ecosystem, including Data Lake, Synapse Analytics, and security/compliance standards (e.g., Azure Sentinel, GDPR).
Preferred Qualifications
  • Experience with ETL/ELT tools like dbt, Matillion, or Azure Data Factory for orchestrating pipelines in a Medallion setup.
  • Background in big data technologies (e.g., Spark on Azure Databricks) integrated with Snowflake.
  • Snowflake certifications (e.g., SnowPro Core, Advanced Architect) and Azure certifications (e.g., DP203: Data Engineering on Microsoft Azure).
  • Knowledge of data governance tools like Collibra or Alation for lineage and cataloguing in Azure environments.
Technical Skills
  • Core: Snowflake (Snowpipe, Streams, Tasks, Medallion Architecture), SQL, Data Modeling (Erwin, DDLs, Source‑to‑Target Mapping)
  • Tools & Technologies: dbt, Fivetran; Reverse Engineering (e.g., SQL Server, Oracle sources)
  • Concepts: Data Lineage, Performance Optimisation, Security (RBAC, Encryption), ELT Pipelines
Soft Skills
  • Exceptional communication skills to articulate complex technical concepts to non‑technical stakeholders and facilitate cross‑team collaboration.
  • Proven track record of timely delivery on projects, with strong organisational skills and the ability to manage multiple priorities in a fast‑paced Azure environment.
  • Analytical problem solver with attention to detail and a proactive mindset for innovation.
How to Apply

Interested candidates should submit their resume and a brief cover letter explaining their interest in the role to hr@xcrotek.com. Please include “Snowflake Architect/Modeler (Azure Focus)” in the subject line.

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