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Azure Big Data Engineer Jobs in Arizona (NOW HIRING)

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

Experience with data modeling, ETL pipelines, and big data technologies. Familiarity with CI/CD ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Sonsoft Inc

Big Data with Java

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Strong development experience in Big Data, NoSQL Databases. * Strong development Experience in ... Cloud Exposure Preferred Azure Qualifications Qualifications Basic Bachelor's degree or foreign ...

NucleusTeq Inc

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Big Data: PySpark * Spark, Python, Google Cloud Platform is must have * Strong experience with ... Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field ...

Sonsoft Inc

Big Data/Cloud Consultant

Phoenix, AZ · On-site

$58 - $79.25/hr

At least 5 years of working on data management domain with big data, Oracle, SQL or other database ... Experience in cloud technologies preferred - AWS or Azure. * Experience in DevOps technologies ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Java, C++, JavaScript • Experience with big data preprocessing and transformation tools ... Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub ...

Tekdoors

Big Data Developer (GCP) - Need Locals

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Big Data Developer (GCP) Location: Phoenix, AZ (Only Local Candidates) Experience: 5-7 Years Work Mode: Onsite Must Have Skills: Design, build, and maintain Big Data pipelines using GCP services.

Sonsoft Inc

Big Data

Phoenix, AZ · On-site

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Sonsoft Inc

Big Data Hadoop Developer

Phoenix, AZ · On-site

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala, Kafka, SPARK, Oozie, Java and shell scripting etc.) Job Location : Phoenix, Arizona (Phoenix is ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Kotlin and Java. Familiarity with front-end technologies, particularly React.js, for ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire ... and big data technologies. Builds analytics tools that utilize the data pipeline to provide ...

Sonsoft Inc

Big Data/Hadoop Developer

Phoenix, AZ · On-site

... programming/scripting experience skills - preferably Python, Perl, Javascript, UNIX shell Should ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Kotlin and Java. Familiarity with front-end technologies, particularly React.js, for ...

Sonsoft Inc

Big Data / Hadoop Consultant

Phoenix, AZ · On-site

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

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Showing results 21-40

All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Arizona

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
What are popular job titles related to Azure Big Data Engineer jobs in Arizona? For Azure Big Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Azure Big Data Engineer jobs in Arizona look for? The top searched job categories for Azure Big Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Azure Big Data Engineer jobs? Cities in Arizona with the most Azure Big Data Engineer job openings:
Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineering Lead

Smart Synergies

Glendale, AZ • On-site

Other

Re-posted 14 days ago

Job description

Job Summary:

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions.

Major Responsibilities:

Architectural Design and Implementation:

Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.

Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Optimize data workflows to ensure high performance and cost efficiency.

Data Governance and Security:

Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.

Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.

Collaborate with security teams to perform regular audits and vulnerability assessments.

Team Leadership and Collaboration:

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.

Drive agile practices and ensure timely delivery of projects.

Platform Optimization and Monitoring:

Oversee the deployment and management of Azure Data Lake and Databricks environments.

Implement monitoring and alerting systems to ensure system reliability and performance.

Evaluate and incorporate new Azure services and technologies to enhance the data platform.

Strategic Planning and Roadmap Development:

Develop and execute a roadmap for data engineering aligned with business objectives.

Stay abreast of industry trends and advancements in data engineering and Azure technologies.

Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with at least 3 years in a leadership role.

Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.

Proven expertise in architecting and implementing large-scale data solutions.

ship is required for this position.

Required Knowledge and Skills:

Technical Skills:

Proficiency in SQL.

Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.

Experience with data modeling, ETL pipelines, and big data technologies.

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

Strong leadership and team management abilities.

Excellent communication and stakeholder management skills.

Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with implementing data lakehouse architectures.

Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

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