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Big Data Engineer Jobs in Raleigh, NC (NOW HIRING)

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 Responsibilities: * Ability to assemble large, complex sets of data that meet non-functional and ...

Summitworks

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Qualifications Minimum qualifications • Solid software engineer with excellent analytical and troubleshooting skills. • 4+ years of experience building production large scale big data ...

Summitworks

Big Data Solution Engineer

Durham, NC

Proficiency in a programming language, ideally Scala, Python, or Java. Experience with big data technologies like Spark, Hive, or Impala. Excellent communication skills with clients and internal ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. * Linux command-line ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. * Linux command-line ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. * Linux command-line ...

Compunnel

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

The ideal candidate will have strong expertise in Spark, Scala, Java, cloud platforms, and big data ... Develop cloud-native data engineering solutions using AWS services. Collaborate with cross ...

Sonsoft Inc

Big Data ( USC & GC )

Durham, NC

$51.25 - $66.50/hr

Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing ... Hand on experience in programming languages like Java, Python, Perl. Qualifications * Bachelor ...

Sonsoft Inc

Big Data

Durham, NC

Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing ... Hand on experience in programming languages like Java, Python, Perl. Qualifications * Bachelor ...

Syngenta

Senior Data Engineer

Durham, NC · On-site

$114K - $163K/yr

Lead, coach and develop more junior engineers and IT professionals. * Engage with business ... Continual research on the latest big data and visualization technologies to provide new ...

Mastech Digital

Data Engineer

Durham, NC · On-site

$68/hr

Data Engineer Primary Skills: SQL Role Description: The Data Engineer must have 5+ years of ... big plus - Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, Terraform, GitHub ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous ... DE developing real time Big Data solutions on Hadoop, using Hive/Impala, Kafka, Scala, Spark SQL ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous ... DE developing real time Big Data solutions on Hadoop, using Hive/Impala, Kafka, Scala, Spark SQL ...

Mastech Digital

Data Engineer

Durham, NC · On-site

$68/hr

Data Engineer Primary Skills: SQL Role Description: The Data Engineer must have 5+ years of ... big plus - Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, Terraform, GitHub ...

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Big Data Engineer information

See Raleigh, NC salary details

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$61

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How much do big data engineer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for big data engineer in Raleigh, NC is $61.22, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $68.94 per hour, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop, Spark, and cloud platforms, and often certifications can earn $300,000 or more annually. Compensation varies by industry, location, and company size, with some roles in finance, technology, and consulting reaching this level for highly specialized professionals.

Can I make 200k as a data engineer?

Big Data Engineers with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer, and why are they important?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What do big data engineers do?

Big Data Engineers design, build, and maintain large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop and Spark, and often certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation typically includes base salary, bonuses, and stock options, reflecting their expertise and leadership roles in data infrastructure projects.
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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $127,336 per year, or $61.2 per hour.
Sr. Big Data Engineer

Sr. Big Data Engineer

Samprasoft

Durham, NC • On-site

$50.50 - $66.75/hr

Other

Posted 5 days ago

Job description

Software Engineer IV - Big Data Engineer

Location: Durham, NC (Day 1 onsite)

Duration: Long Term

Responsibilities:

  • Ability to assemble large, complex sets of data that meet non-functional and functional business requirements
  • Ability to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Strong programming and analytical skills, problem determination and debugging, attention to detail, teamwork, and excellent communication skills.
  • Knowledge of software development concepts/methodology/life cycle, especially Agile methodology
  • Proficiency with code versioning tools like Git
  • Proficiency with Windows- and Linux-based operating systems, including software installation, light administration and simple scripting.

Required Skills:

  • Bachelor’s Degree in Computer Science or related field
  • Strong analytical and Java programming skills
  • Deep technical skills in software development technologies and tools such as socket communication, Python, DI, CI, Spring Boot, XML/JSON, Java, JavaScript, Docker, Dagger2, maven
  • Experience in Cloud and Big Data technologies such as PowerShell, SQL, ADLS/Blob, Spark/SparkSQL, Databricks.
  • 8+ years professional experience in software development
  • 3+ years of cloud based or client/server development experience.
  • 1+ years of Big Data development experience.

Preferred Skills:

  • Experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions
  • Experience in Big data partitioning strategies, Azure ADF, Azure Databricks.
  • Knowledge of cloud computing technologies
  • Knowledge of non-relational databases
  • Experience working on Azure SQL Server.

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