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Azure Big Data Engineer Jobs (NOW HIRING)

SmartIPlace

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 ...

3B Staffing LLC

azure Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Azure Data Engineer Location: Chicago, IL - must do one day week onsite Length: 6 months This will ... Big Data Processing: Build high-performance, distributed data transformation workloads via Azure ...

3B Staffing LLC

azure Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Azure Data Engineer Location: Chicago, IL - must do one day week onsite Length: 6 months This will ... Big Data Processing: Build high-performance, distributed data transformation workloads via Azure ...

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Big Data Engineer Location: Charlotte, NC (Hybrid) Client: Synechron / Wells Fargo EXP: 9+ Years Rate: $55/hr. on C2C Skills: Big Data, Hadoop, Python & Angular Job Summary We are seeking an ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

... Azure. Work Experience: • Demonstrated experience designing and building Big Data cloud solutions ... Developers on design and development of features and components with a deep understanding of the ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Hybrid Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

3B Staffing LLC

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

3B Staffing LLC

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Azure Data Engineer Job Summary: We are seeking a highly skilled Azure Data Engineer to design ... Big Data Processing: Build high-performance, distributed data transformation workloads via Azure ...

3B Staffing LLC

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

3B Staffing LLC

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Azure Data Engineer Job Summary: We are seeking a highly skilled Azure Data Engineer to design ... Big Data Processing: Build high-performance, distributed data transformation workloads via Azure ...

CIS Technologies Inc.

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Basking Ridge, NJ Duration: 24 Months Job Responsibilities: * Design and lead end-to-end data integration * Perform performance tuning, diagnose, and resolve complex big ...

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Big Data Engineer Location: Dallas, TX (Hybrid) JD: Summary We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data ...

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Azure Big Data Engineer information

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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.

Data Engineer

5 Star Global Recruitment Partners

Princeton, NJ • On-site

$120K - $144K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer

Princeton, New Jersey, United States

About the Job

Experience Required:

Data Engineering

Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Strong understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and in moving the data from flat files and SQL Server using U-SQL jobs.

  • Expert in data warehouse development starting from inception to implementation and ongoing support, strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone, bronze, silver and gold layers of data
  • Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
  • Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
  • Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
  • Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.

Domain Knowledge (Preferred)

Experience with actuarial tools or insurance is preferred. The intent is familiarity with the data terminologies and the hierarchy of data in the Insurance domain, specifically in the below areas

  • Familiarity with reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflows.
  • Understanding of actuarial rating inputs and outputs, including exposure and experience data, layers, tags, and program structures.
  • Experience building data pipelines that support actuarial analytics, pricing tools, and downstream reporting for brokers and clients.

Team Skills

  • Team builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle (SDLC) and proficient in technical writing.
  • Experience in Agile software development and SCRUM methodology.
  • Ability to work independently and as part of a team to accomplish critical business objectives as well as good decision-making skills under high pressure complex scenarios

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