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Big Data Engineering Jobs (NOW HIRING)

Big Data developer

Redmond, WA

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and ... with cross-functional engineering teams to streamline or improve adoption of our platform.

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling Meadows, IL Requirements Primary / Essential Skills : SPARK with Scala or Python Secondary ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In this role, you will design, develop, and maintain data pipelines to support business intelligence and ...

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 Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Extensive knowledge of industry leading software engineering approaches including Test Automation ... Big Data technologies * Experience with Big data technologies such as Hadoop, Spark, Hive & Trino

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

They are seeking a skilled and motivated Big Data Engineer to design, develop, and maintain data pipelines, optimize data storage solutions, and support business intelligence and analytics needs.

Big Data Engineer

Malvern, PA · On-site

$54.75 - $72.25/hr

Big Data Engineer Location : Malvern, PA Hybrid Duration : Initial 12 months + options to extend - Long term contract role Responsibilities * Collaborate on the Smartstream cash reconciliation ...

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on ...

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 SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

They are seeking a Big Data Developer to code, test, and analyze application software while improving existing code and collaborating with team members to enhance software effectiveness.

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Extensive knowledge of industry leading software engineering approaches including Test Automation ... Total Big Data exp.: Total PySpark exp.: Total Terraform exp.: Expected hourly rate: Current ...

Big Data Engineer

Los Angeles, CA

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral ... Science/Engineering, or equivalent experience Qualifications Hadoop, HBase, Elastic Search ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

Big Data Engineer

Chicago, IL

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

Showing results 41-60

Big Data Engineering information

See salary details

$15

$62

$88

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:
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.

$59.25 - $77/hr

Contractor

Re-posted 27 days ago


Job description

Company Description

SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT. 



Job Description

Big Data developer

Redmond, WA

Long term Contract (On W2)

Need a Strong candidate with Big data and Kafka

Job Description:

Provide thought leadership for the MFS data platform team and collaborate with cross-functional engineering teams to streamline or improve adoption of our platform.

Technical mentoring of other engineers within the software team.

Qualifications

Industry experience with design and development of large scale distributed systems.

Additional Information

SRI Tech Solutions Certified Minority Business Enterprise | An E-Verify Employer SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.