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Azure Big Data Engineer Jobs (NOW HIRING)

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer Location: Atlanta, GA / Tampa, FL/ Dallas, TX Job Summary We are seeking an ... Work with cloud technologies (AWS, Azure, or GCP) including Data Lake, Databricks, EMR, Glue ...

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 ...

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

Min. 2 years of experience in Hadoop, HDFS, HBase, MapReduce, NiFi, Kubernetes, AWS, Azure, and GCP ... Big Data Engineer

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 ...

Big Data Engineer

Sunnyvale, CA · On-site

$65.50 - $86.50/hr

Architect and implement cloud-native solutions on GCP and Azure platforms. * Design and maintain ... big data engineering and backend development . * Expertise in Hadoop ecosystem (HDFS, MapReduce ...

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 ...

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)

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)

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 ...

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

NGDATA US INC is seeking a Big Data Engineer to manage customer engagements and oversee the ... AWS, Azure, and GCP. Company : NGDATA, based in Belgium, uses big data technology to provide ...

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 ...

(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 ...

(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 ...

(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 ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

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Azure Big Data Engineer information

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$15

$62

$88

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

As of Jun 17, 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, and why are they important?

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.
More about Azure Big Data Engineer jobs
What cities are hiring for Azure Big Data Engineer jobs? Cities with the most Azure Big Data Engineer job openings:
What states have the most Azure Big Data Engineer jobs? States with the most job openings for Azure Big Data Engineer jobs include:
What job categories do people searching Azure Big Data Engineer jobs look for? The top searched job categories for Azure Big Data Engineer jobs are:
Infographic showing various Azure Big Data Engineer job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 59% Full Time, 26% Part Time, and 11% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

$52.75 - $69.75/hr

Full-time

Posted 10 days ago


Job description

Overview:
Job Title: Big Data Engineer
Location: Atlanta, GA / Tampa, FL/ Dallas, TX
Job Summary
We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data pipelines and distributed systems across cloud and on-prem platforms. The ideal candidate will have strong expertise in Spark, Hadoop ecosystems, cloud data services, ETL/ELT design, streaming platforms, and best practices for scalable data processing.
Responsibilities
  • Design, develop, and maintain big data pipelines using Spark (PySpark/Scala), Hadoop, Kafka, and distributed computing frameworks.
  • Build and optimize ETL/ELT pipelines for structured and unstructured data across cloud and on-prem data platforms.
  • Work with cloud technologies (AWS, Azure, or GCP) including Data Lake, Databricks, EMR, Glue, Dataflow, Synapse, or Snowflake.
  • Develop Delta Lake / Lakehouse architecture for high-performance ingestion and processing.
  • Build real-time streaming solutions using Kafka, Spark Streaming, Kinesis, or Event Hub.
  • Collaborate with data architects, analysts, and application teams to gather data requirements and deliver scalable solutions.
  • Implement and maintain CI/CD pipelines, automated jobs, and orchestration using Airflow/Azure Data Factory/Glue Workflows.
  • Optimize data pipelines for performance, cost efficiency, and reliability.
  • Ensure data quality, validation, governance, and lineage best practices across the ecosystem.
  • Troubleshoot and resolve production issues in a high-availability environment.
Required Skills & Qualifications
  • 5-8+ years of experience as a Big Data Engineer or Data Engineer.
  • Strong hands-on skills with Spark (PySpark or Scala), Hadoop, Hive, HDFS, MapReduce.
  • Experience working with Databricks, EMR, Glue, Synapse, DataProc, or equivalent big-data compute engines.
  • Proficiency in Python or Scala for data engineering.
  • Experience with Kafka or other event-streaming technologies.
  • Strong understanding of cloud data architectures (AWS S3/Glue/EMR | Azure ADLS/ADF/Databricks | GCP BigQuery/DataProc).
  • Solid SQL skills and experience with relational + NoSQL databases.
  • Experience with version control (Git) and CI/CD tools (Jenkins, Azure DevOps, GitHub Actions).
  • Hands-on experience with Airflow, ADF, or other orchestration and scheduling tools.
  • Familiarity with data modeling, data governance, and best practices for data quality.