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Big Data Engineering Jobs (NOW HIRING)

Techno Talent Inc.

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Required Skills: * 8+ years of Big Data/Data Engineering experience * Strong hands-on experience with Apache Spark * Hadoop Ecosystem: Hadoop, Hive, Trino * Strong programming skills in Python or ...

Aivra Health LLC

Big Data Engineer

San Jose, CA · On-site

$65.25 - $86.50/hr

Big Data Engineer Location: San Jose, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We ... Maintain technical documentation and follow best engineering practices. Required Qualifications

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.

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 ...

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 ...

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) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

New

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 ...

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 ...

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 ...

Wise Skulls Corp.

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/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 ...

New

Cymertek

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Cymertek

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Cymertek

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

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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 7, 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 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 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 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.

More about Big Data Engineering jobs
What cities are hiring for Big Data Engineering jobs? Cities with the most Big Data Engineering job openings:
What states have the most Big Data Engineering jobs? States with the most job openings for Big Data Engineering jobs include:
What job categories do people searching Big Data Engineering jobs look for? The top searched job categories for Big Data Engineering jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Developer

Techno Talent Inc.

Rockville, MD • On-site

$54 - $70/hr

Other

Re-posted 22 days ago

Job description

Big Data Developer
Location: Rockville, MD or Tysons Corner, VA

Work Setting: Onsite

Job Description:

We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions.

Required Skills:
  • 8+ years of Big Data/Data Engineering experience
  • Strong hands-on experience with Apache Spark
  • Hadoop Ecosystem: Hadoop, Hive, Trino
  • Strong programming skills in Python or Scala
  • Advanced SQL (Joins, Window Functions, Aggregations, Query Optimization)
  • Experience building and supporting large-scale ETL/Data Pipelines
  • AWS Services: S3, EMR, Glue, Athena, Lambda
  • Experience troubleshooting Spark jobs, data skew, performance tuning, and large-volume data processing
  • Knowledge of Agile/Scrum development methodologies
  • Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, Amazon Q)
Preferred Skills:
  • EKS / Kubernetes
  • CI/CD Pipelines
  • Test Automation
  • Production Data Pipeline Support
  • AWS Certifications
  • Financial Services Experience

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