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Azure Big Data Engineer Jobs (NOW HIRING)

Smart Synergies

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka ... Knowledge of engineering and construction workflows is a plus.

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Experience in Azure / AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue * Strong ...

Syntricate Technologies

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 ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... Good understanding of cloud platforms like AWS/GCP/Azure is a plus. * Excellent problem-solving and ...

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Develop, optimize, and maintain big data pipelines using Apache Spark, Azure Databricks, and ... Programming expertise in Scala, Java, or Python for complex production systems. * Extensive Python ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)

Avani Technology Solutions, Inc.

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in ... This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera ...

3B Staffing LLC

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in ... This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera ...

3B Staffing LLC

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in ... This is deployed on the Microsoft Azure platform using core Cloudera technologies such as Cloudera ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop ... Experience building and deploying applications to the cloud (AWS, Azure, etc.). * Experience ...

Bechtel Oil, Gas & Chemicals Incorporated

$107 - $155/hr

In-depth experience with a big data cloud platform such as AWS or Azure. * Strong grasp of programming languages such as Python, Scala, or equivalent, with a willingness to learn new languages and ...

New

Navtech, Inc.

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 ...

Sonsoft Inc

(Azure) Big Data/Cloud Services

New York, NY · On-site

$69.50 - $90.50/hr

... Azure App Service Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR/Storm/Pig/Oozie/Kafka, .NET, etc. Strength and background in infrastructure or HPC is preferable. Experience with ...

Sonsoft Inc

(Azure) Big Data/Cloud Services

Chicago, IL

$65.50 - $85.25/hr

... Azure App Service Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR/Storm/Pig/Oozie/Kafka, .NET, etc. Strength and background in infrastructure or HPC is preferable. Experience with ...

Sonsoft Inc

(Azure) Big Data/Cloud Services

California City, CA · On-site

$78 - $101.50/hr

... Azure App Service Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR/Storm/Pig/Oozie/Kafka, .NET, etc. Strength and background in infrastructure or HPC is preferable. Experience with ...

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Azure Big Data Engineer information

See salary details

$15

$62

$88

How much do azure big data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for azure big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

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.
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Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in the United States 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, 3% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Smart Synergies

Reston, VA • On-site

$58 - $76.75/hr

Other

Posted 12 days ago

Job description

Position Summary

The Big Data Engineer will design, develop, and maintain big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and construction workflows. This role is pivotal in enabling scalable, secure, and efficient data solutions for projects in semiconductor, electric vehicle, advanced materials, and data center sectors.

Job Dimensions

  • Supervision Received: Reports to Digital Solutions Lead and works under general direction.
  • Supervision Exercised: May provide technical guidance to junior engineers or analysts.
  • Contacts: Frequent interaction with data scientists, project managers, IT teams, and business stakeholders.

Key Responsibilities

  • Design and implement big data architectures, including ingestion, processing, and modeling of heterogeneous data sources.
  • Develop and maintain ETL/ELT pipelines for structured and unstructured data.
  • Work closely with data scientists, analysts, and business SMEs to deliver actionable insights.
  • Integrate big data solutions with digital ecosystem and project execution platforms.
  • Ensure data reliability, security, and compliance with governance policies.
  • Optimize data workflows for scalability and efficiency.
  • Explore emerging technologies and frameworks to enhance data engineering capabilities.
  • Support automation and advanced analytics initiatives across projects.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 3–5+ years of experience in big data engineering roles.
  • Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka.
  • Strong skills in Python, SQL, and data modeling techniques.

Preferred Qualifications

  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Familiarity with data governance frameworks and enterprise data architecture.
  • Knowledge of engineering and construction workflows is a plus.

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