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Big Data Engineering Jobs (NOW HIRING)

Smart Synergies

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

... making across engineering, procurement, and construction workflows. This role is pivotal in ... Design and implement big data architectures, including ingestion, processing, and modeling of ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

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 ...

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 ... Proficiency in Python for data engineering and application development. Experience with Angular for ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.

Collabera

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Technical Skills Must Have * 7-10 years of overall experience in data engineering, with a proven ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Technical Skills Must Have * 7-10 years of overall experience in data engineering, with a proven ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud data warehouses to design and develop data solutions.

V-CENTRIX-US LLC

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills: Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java , Scala ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$56.50 - $74.75/hr

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 ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We ... data engineering projects. Behavioral Skills: • Good Communication skills • 5 days Work from ...

Syntricate Technologies

Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and optimizing big data scalability across various data stores while ...

The Consortium, Inc.

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville ... Support engineering efforts throughout SDLC * Work effectively in small agile teams * Provide ...

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Big Data Engineering information

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How much do big data engineering jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for big data engineering 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 is big data engineering?

Big Data Engineering is the field focused on designing, building, and maintaining systems and architecture that process large volumes of structured and unstructured data. Big Data Engineers develop pipelines for collecting, storing, and analyzing data from various sources, ensuring the data is accessible, reliable, and efficient to process. They work with technologies like Hadoop, Spark, and cloud platforms to manage data at scale, enabling organizations to gain insights and make data-driven decisions. This role requires a strong foundation in programming, data modeling, and distributed systems.

What are some common challenges big data engineers face when working with large-scale data systems?

Big Data Engineers often encounter challenges related to data quality, system scalability, and performance optimization. Managing and processing vast amounts of data can strain infrastructure, requiring careful selection of storage and processing frameworks like Hadoop or Spark. Ensuring data pipelines are robust and reliable, handling data inconsistencies, and troubleshooting distributed systems are regular parts of the job. Collaboration with data scientists and analysts is essential to ensure that data is accessible and usable for downstream applications.

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 (such as Java, Scala, or Python), expertise in data modeling, and a solid understanding of distributed computing, typically backed by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, Kafka, and proficiency in SQL/NoSQL databases, along with cloud platforms like AWS or Azure, are essential, and certifications like Cloudera or AWS Big Data can be advantageous. Problem-solving ability, attention to detail, and effective communication are critical soft skills for designing robust data pipelines and collaborating with cross-functional teams. These competencies enable efficient management and extraction of insights from massive datasets, driving data-driven decision-making across organizations.

What is the difference between Big Data Engineering vs Data Engineering?

AspectBig Data EngineeringData Engineering
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in Hadoop, SparkBachelor's in CS, Software Engineering, or related; similar certifications
Work EnvironmentLarge-scale data systems, distributed computing platformsVaried environments including databases, data warehouses, cloud platforms
Industry UsageTech, finance, healthcare, e-commerce with big data needsBroad industry use, including startups and enterprises

Big Data Engineering focuses on building and managing large-scale data processing systems using distributed frameworks like Hadoop and Spark. Data Engineering covers a broader scope, including designing data pipelines, databases, and data warehouses. While both roles require similar skills and credentials, Big Data Engineering specializes in handling massive datasets with distributed systems, whereas Data Engineering may involve a wider range of data management tasks across different environments.

Are big data engineers in demand?

Big data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They are skilled in technologies like Hadoop, Spark, and cloud platforms, and often find opportunities in sectors such as finance, healthcare, and technology. The role typically requires strong programming, data management, and analytical skills, with job growth expected to continue as data volumes grow.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and maintains large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They develop data pipelines, optimize data storage, and ensure data quality to support analytics and machine learning applications.
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Big Data Engineering jobs near you
Infographic showing various Big Data Engineering 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 84% Physical, 4% Hybrid, and 12% 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 4 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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