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Senior Big Data Engineer Jobs (NOW HIRING)

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 ...

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.

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 ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: 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 ...

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 ...

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 ...

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 ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51.40 - $66.71/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 ...

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 ...

GTT, LLC

Big Data Engineer

Reston, VA · Hybrid

$51.40 - $66.71/hr

Big Data Engineer Location: Reston, VA Onsite Flexibility: Hybrid 3 days in office, 2 days remote Contract Details * Position Type: Contract * Contract Duration: 12 months * Pay Rate: $51.40 $66.71 ...

New

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 are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ...

Xforia, Inc.

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Skill Sets * Sr. big data engineer with advance Java experience to join our modernization initiative team. * 8 to 10 years of Spring boot, Advance Java, python, Spark, and Scala experience.

Jobsbridge

Senior Big Data Architect

Rockville, MD · On-site

$68.50 - $91.75/hr

Skill Hadoop Big Data Engineer Senior Director Manager Location Rockville, MD Total Experience 8 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC can ...

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Senior Big Data Engineer information

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How much do senior big data engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for senior 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 is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

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Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Charlotte, NC • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$55/hr

Full-time

Re-posted 6 days ago

Job description

Job Title: 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 experienced Big Data Engineer to join a high-performing team supporting enterprise-scale data initiatives for Wells Fargo through Synechron. The ideal candidate will have strong expertise in Big Data technologies, Hadoop ecosystem, Python development, and Angular for building and supporting data-driven applications. This role involves designing, developing, and optimizing scalable data pipelines and collaborating with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities
Design, develop, and maintain scalable Big Data solutions using the Hadoop ecosystem.
Build and optimize ETL/data ingestion pipelines for structured and unstructured data.
Develop data processing applications using Python.
Create and enhance front-end components using Angular for data visualization and application interfaces.
Work with large datasets to ensure data quality, integrity, and performance.
Collaborate with business analysts, architects, and development teams to gather requirements and implement solutions.
Monitor, troubleshoot, and optimize data processing workflows.
Follow enterprise development standards, security guidelines, and best practices.
Participate in code reviews, testing, deployment, and production support.
Required Skills
Strong experience with Big Data technologies and the Hadoop ecosystem (HDFS, Hive, Spark, MapReduce, YARN, etc.).
Proficiency in Python for data engineering and application development.
Experience with Angular for front-end development.
Experience building ETL pipelines and handling large-scale datasets.
Strong knowledge of SQL and relational databases.
Experience with distributed data processing frameworks such as Apache Spark.
Familiarity with version control tools like Git.
Strong analytical, problem-solving, and communication skills.

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