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Azure Big Data Engineer Jobs in Arizona (NOW HIRING)

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Required : • Big Data Engineer with mapreduce, spark, hive, sql skillset • Expert in SQL and Data warehousing concepts. • Hands-on experience with public cloud data warehouse (GCP, Azure, AWS ...

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer with mapreduce, spark, hive, sql skillset * Expert in SQL and Data warehousing ... Hands-on experience with public cloud data warehouse (GCP, Azure, AWS). * GCP certification will be ...

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer with mapreduce, spark, hive, sql skillset * Expert in SQL and Data warehousing ... Hands-on experience with public cloud data warehouse (GCP, Azure, AWS). * GCP certification will be ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications ... Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills: Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java , Scala ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

GCP Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

They are seeking a GCP Big Data Engineer to help build and enhance their Big Data applications using various technologies and frameworks. Responsibilities : • Looking for a Senior Software Engineer ...

Bigdata engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Big Data environment, while also working with cloud data warehouses like GCP, Azure, and AWS ... Responsibilities : • Big Data Engineer with mapreduce, spark, hive, sql skillset • Expert in ...

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities (but not limited to): Implementation of various solutions arising out of the large data processing ...

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... engineering and systems integration. Our tightly integrated offerings are tailored to each clients ... data-intensive, distributed environments. 2. Should have worked on open source products and ...

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience Preferred SKILLS For Data Science/Data Analyst/AI/Machine Learning Positions Preferred SKILLS ...

Big Data Engineer II

Phoenix, AZ · On-site

$55.75 - $73.75/hr

Experience with Data Visualization tools like Tableau, SiSense, Looker * Expert on Distributed ecosystem * Hands-on experience with programming using Python/Scala * Expert on Hadoop and Spark ...

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience Preferred SKILLS For Data Science/Data Analyst/AI/Machine Learning Positions Preferred SKILLS ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5 ... Big Data: PySpark * Spark, Python, GCP is must have * Strong experience with Spark , Data Frames

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience ... Big Data: PySpark * Spark, Python, GCP is must have * Strong experience with Spark , Data Frames

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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.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

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:

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.

$55.25 - $73.25/hr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud data warehouses to design and develop data solutions.
Qualifications:
Required:
• Big Data Engineer with mapreduce, spark, hive, sql skillset
• Expert in SQL and Data warehousing concepts.
• Hands-on experience with public cloud data warehouse (GCP, Azure, AWS).
• MapR experience is must
• Strong Hands on experience with one or more programming languages (Python or Java).
• Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE).
• Experience with CICD pipelines, Automated test frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Maven).
• Strong communication and analytical skills including effective presentation skills.
• Familiarity with Agile & scrum ceremonies.
Preferred:
• GCP certification will be very good to have.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.