ZipRecruiter

Log In

1

Azure Big Data Engineer Jobs (NOW HIRING)

Ova Technologies

Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

Big Data Engineer We are seeking a highly skilled Big Data Engineer to design, develop, and ... Data Warehousing: Snowflake, Redshift, BigQuery, Azure Synapse * Databases: PostgreSQL, MySQL ...

SonSoft

(Azure) Big Data/Cloud Services

California City, CA · On-site

$78 - $101.50/hr

(Azure) Big Data/Cloud Services Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the ...

SonSoft

(Azure) Big Data/Cloud Services

Manhattan, NY · On-site

$70 - $91.25/hr

(Azure) Big Data/Cloud Services Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the ...

SonSoft

(Azure) Big Data/Cloud Services

Chicago, IL · On-site

$65.50 - $85.25/hr

(Azure) Big Data/Cloud Services Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the ...

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 ...

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 ...

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 ...

Syntricate Technologies

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 ...

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)

Samprasoft

Sr. Big Data Engineer

Durham, NC · On-site

$50.50 - $66.75/hr

Software Engineer IV - Big Data Engineer Location: Durham, NC (Day 1 onsite) Duration: Long Term ... Experience working on Azure SQL Server.

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)

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 ...

Ruri Software Technologies LLC

Big Data Engineer

Tampa, FL · On-site

$50.75 - $67/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 ...

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 ...

Syntricate Technologies

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Position- Big Data Engineer Duration-Contract Location- Phoenix, AZ JD * Big Data Engineer with ... Hands -on experience with public cloud data warehouse (GCP, Azure, AWS). GCP certification will be ...

next page

Showing results 1-20

All JobsAzure Big Data Engineer Jobs

Azure Big Data Engineer information

See salary details

$15

$62

$88

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

As of Jul 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, 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:
Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Ova Technologies

Manhattan, NY • On-site

$61.50 - $81.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Big Data Engineer

We are seeking a highly skilled Big Data Engineer to design, develop, and maintain scalable data processing systems capable of handling large volumes of structured, semi-structured, and unstructured data. The ideal candidate will build and optimize big data pipelines, data lakes, and distributed data platforms to support analytics, machine learning, and business intelligence initiatives. This role requires expertise in modern big data technologies, cloud platforms, and data engineering best practices.

Key Responsibilities:
  • Design, develop, and maintain large-scale data processing and analytics platforms.
  • Build and optimize data pipelines for batch and real-time data processing.
  • Develop and manage data lakes, data warehouses, and distributed storage systems.
  • Integrate data from multiple internal and external data sources.
  • Ensure data quality, consistency, security, and governance across data platforms.
  • Collaborate with Data Scientists, Data Analysts, ML Engineers, and Business Stakeholders to understand data requirements.
  • Optimize data processing performance and scalability.
  • Monitor and troubleshoot big data infrastructure and workflows.
  • Implement data ingestion, transformation, and aggregation processes.
  • Support cloud migration and modernization initiatives.
  • Develop technical documentation and data architecture standards.
  • Stay current with emerging big data technologies and industry trends.
Required Skills:
  • Strong understanding of Big Data ecosystems and distributed computing concepts.
  • Experience designing and implementing scalable data pipelines.
  • Knowledge of data modeling, ETL/ELT processes, and data warehousing.
  • Strong SQL and data analysis skills.
  • Experience with real-time and batch processing frameworks.
  • Excellent problem-solving and troubleshooting abilities.
Technical Skills:
  • Big Data Technologies: Hadoop, Spark, Hive, HBase, Kafka
  • Data Processing: Apache Spark, Apache Flink, Apache Beam
  • Data Warehousing: Snowflake, Redshift, BigQuery, Azure Synapse
  • Databases: PostgreSQL, MySQL, MongoDB, Cassandra
  • ETL Tools: Informatica, Talend, AWS Glue, Azure Data Factory
  • Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP)
  • Programming Languages: Python, Java, Scala, SQL
  • Workflow Orchestration: Apache Airflow, Luigi
  • Containerization: Docker, Kubernetes
  • Version Control: Git, GitHub, GitLab, Bitbucket
Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
  • Master's degree in Data Science or a related field is a plus.
  • Relevant certifications are preferred:
    • AWS Certified Data Engineer
    • Google Professional Data Engineer
    • Microsoft Azure Data Engineer Associate
    • Databricks Certified Data Engineer
Experience:
  • 4–8 years of experience in Data Engineering, Big Data Engineering, or Data Platform Development.
  • Hands-on experience with distributed data processing frameworks such as Apache Spark.
  • Experience working with cloud-based data platforms and data warehouses.
  • Experience handling large-scale data processing and analytics workloads.
Preferred Qualifications:
  • Experience with Data Lakehouse architectures using Databricks, Delta Lake, or Apache Iceberg.
  • Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
  • Experience supporting Machine Learning and AI data pipelines.
  • Familiarity with Data Governance, Data Quality, and Master Data Management (MDM).
  • Experience with DataOps and CI/CD practices for data engineering.
Preferred Qualities:
  • Strong analytical and problem-solving mindset.
  • Ability to work with large and complex datasets.
  • Excellent communication and collaboration skills.
  • Strong attention to detail and data accuracy.
  • Passion for emerging data technologies and innovation.
Employment Type:

Full-Time

Location:

Remote / Hybrid / On-site

Nice to Have:
  • Experience with Databricks, Snowflake, Delta Lake, Apache Iceberg, or Apache Hudi.
  • Knowledge of Generative AI, Machine Learning, and MLOps data infrastructure.
  • Experience building real-time analytics and event-driven architectures.
  • Familiarity with FinTech, Healthcare, Retail, HR Tech, SaaS, or E-commerce data platforms.
  • Experience mentoring junior engineers and contributing to enterprise data architecture and strategy.

Apply