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Data Engineer Data Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

GCP AI Vertex Data Engineer Location: Phoenix, AZ / Scottsdale (day one onsite) Type: Contractor Pay - 70/hr JOB SUMMARY PRINCIPAL DUTIES GCP AI Vertex Data Engineer A solid experience and ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Data Engineer III

Chandler, AZ ยท On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills โ€ข BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

JD: Technical/Functional Skills 1) Strong proficiency in SQL and database technologies 2) Familiarity with data warehousing and data modelling concepts 3) Hands-on experience with Google Cloud ...

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

DevOps Engineer /Data Engineer

Phoenix, AZ ยท On-site

$52.50 - $71.75/hr

... data tools including Spark, Hive, and Presto - Deploy and support analytics platforms in big data environments (3+ years' experience required) - Implement and manage CI/CD pipelines - Use ...

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

GCP Data Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Arizona? For Data Engineer Data jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Engineer Data jobs? Cities in Arizona with the most Data Engineer Data job openings:

$111K - $133K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title: GCP AI Vertex Data Engineer
Location: Phoenix, AZ / Scottsdale (day one onsite)
Type: Contractor
Pay - 70/hr
JOB SUMMARY PRINCIPAL DUTIES
GCP AI Vertex Data Engineer
A solid experience and understanding of considerations for largescale solutioning and operationalization of data warehouses data lakes and analytics platforms on GCP is a must
works on creating a framework for ML and LLM Ops
works on processes and flow of AI Compliance Governance framework
Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times
Create reports to monitor usage data for billing and SLA tracking
Work with business and crossfunctional teams to gather and document requirements to meet business needs
Provide support as required to ensure the availability and performance of ETLELT jobs
Provide technical assistance and cross training to business and internal team members
Collaborate with business partners for continuous improvement opportunities
Requirements
Experience Skills Qualifications
6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics
Very strong hands on Python expertise
Strong Data and GCP Vertex AI knowledge
6 years of experience with one of the leading public clouds
6 years of experience in design and build of salable data pipelines that deal with extraction transformation and loading
6 years of experience with Python Scala with working knowledge on Notebooks
6 years hands on experience on GCP Cloud data implementation projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc
At least 5 years of experience in Data governance and Metadata Management
Ability to work independently solve problems update the stake holders
Analyze design develop and deploy solutions as per business requirements
Strong understanding of relational and dimensional data modeling
Experience in DevOps and CICD related technologies
Excellent written verbal communication skills including experience in technical documentation and ability to communicate with senior business managers and executives