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Senior Big Data Engineer Jobs (NOW HIRING)

Arka Infotech Inc

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities (but not limited to): Implementation of various solutions arising out of the large data processing ...

TriOptus LLC

Sr Big Data Engineer

Plano, TX · On-site

$52 - $69/hr

Job Title: Sr Big Data Engineer Job Location: Plano, Texas Job Type: Contract - Must-Have Skills: Python PySpark Spark AWS ETL Docker Good to Have Skills: Lead Experience Data Modeling CI/CD ...

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local candidates to NJ/NY Position type: W2 contract. Our Challenge * As a Big Data Engineer, candidate will be ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

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. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Forhyre

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 ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Big Data Engineer Location: Charlotte, NC (onsite) Duration : 12 months ext. Job Type: W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you ...

Sonsoft Inc

Sr. Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Our Big Data capability team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn ...

Deegit Inc

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Sonsoft Inc

Sr. Big Data -Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

... Big Data capability team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and ...

Circana

Sr. Big Data Engineers*| HQ: Chicago, IL

$57 - $75.50/hr

Role Overview The Senior Big Data Engineer is responsible for designing, building, and delivering highly scalable big data and ETL solutions across distributed environments. This role supports ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

CereCore

Big Data Engineer / Sr. Level - GCP

Nashville, TN

$53.75 - $71.25/hr

The Senior Big Data Engineer serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud ...

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Senior Big Data Engineer information

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$15

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$88

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

As of Jul 12, 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 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.

How does a Senior Big Data Engineer typically 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 are the key skills and qualifications needed to thrive as a Senior Big Data Engineer, and why are they important?

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.

Can I make 200k as a data engineer?

Senior 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 large organizations. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What are Senior Big Data Engineers?

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 engineers make 300,000 a year?

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

What jobs make $1,000,000 a year?

Senior Big Data Engineers can reach high earning levels, especially with extensive experience, advanced skills in cloud platforms, and expertise in data architecture. While most roles do not typically earn this amount, top executives, successful entrepreneurs, and certain specialized finance or technology leaders may achieve annual incomes of $1 million or more. Such compensation often includes bonuses, stock options, or profit sharing.

What engineer makes $500,000 a year?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop and Spark, and often in high-demand industries can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership, and working in competitive markets or large organizations.
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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 July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Sr. Big Data Engineer - Remote

Sr. Big Data Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$61 - $80.75/hr

Full-time

Re-posted 9 days ago

Job description

NAVA Software solutions is looking for a Sr. Big Data Engineer
Details:
Sr. Big Data Engineer
Duration: 6-12 months
Location: Remote project
Client is looking for a Big Data Engineer having experience as mentioned:
  • 10 Yrs of Data Engineer Exp
  • 6 yrs Big Data Exp
  • 4 yrs of AWS Exp.
  • Strong Spark, Scala.
  • Strong Python/Java exp - Mandatory
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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