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ClifyX

Big data technical lead

Austin, TX · On-site

Big Data Technical Lead Location: Austin, Texas Position: Fulltime Work experience of full stack Big Data project on HDP platform. Hands-on experience in Spark, Python, Hive and Kafka. Agile with ...

VDart Inc

Big data Administrator

Bellevue, WA · On-site

Big data Administrator Location: Bellevue, WA Candidate should be well versed in Big Data Installation, Configuration and Maintenance. Additional Information All your information will be kept ...

JConnect Infotech

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must Have Technical/Functional Skills Big Data, PySpark, AWS (EMR, SageMaker, DunamoDB) Roles ...

AYR Global IT Solutions Inc

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

VDart Inc

Big data Administrator

Bellevue, WA · On-site

Big data Administrator Location: Bellevue, WA Candidate should be well versed in Big Data Installation, Configuration and Maintenance. Qualifications Additional Information All your information will ...

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 ...

AYR Global IT Solutions Inc

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

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 ...

TestingXperts

Big Data/Scala Developer

Saint Paul, MN · On-site

$53.50 - $69.25/hr

Big Data/Scala Developer Requires experience with Scala, Spark and Hadoop technologies as part of my Big Data team building large scale applications. Familiarity with agile processes and scrum team ...

Sonsoft Inc

Big Data Admin

Saint Louis, MO · On-site

At least 4 years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design * At least 3 years of experience in leading ...

Saransh Inc

GCP Big Query Admin

Ashburn, VA · On-site

GCP Big Query Admin Location: Ashburn, VA / Irving, TX (Hybrid - 3 days a week in office) Job Type: Contract No of Positions: 2 (1 in each location) Note: Please don't share GCP Engineers / Data ...

SRI Tech solutions Inc

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross ...

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How much do big jobs pay per year?

As of Jul 7, 2026, the average yearly pay for big in the United States is $106,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, sales managers, and skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience, and may involve long hours or physically demanding work.

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A big job typically refers to a position that involves significant responsibilities, high levels of skill, or large-scale projects. It often requires extensive experience, leadership abilities, and may involve long hours or complex tasks within a company or organization.

What is the difference between Big vs Small?

AspectBigSmall
Company SizeLarge corporations with thousands of employeesSmall businesses or startups with fewer than 50 employees
Work EnvironmentStructured, hierarchical, formal policiesFlexible, informal, collaborative
Required CredentialsOften higher or specialized certificationsFewer formal credentials needed, more on-the-job training
Industry UsageCommon in finance, tech, manufacturingPrevalent in creative, local services, startups

Big companies typically offer structured environments, formal policies, and often require advanced credentials. Small companies tend to be more flexible, informal, and may prioritize practical experience over formal certifications. The choice depends on your preferred work environment and career goals.

What are some common challenges faced by Big Data Engineers when managing large-scale data pipelines?

Big Data Engineers often encounter challenges such as ensuring data quality and consistency across distributed systems, optimizing data pipeline performance to handle massive data volumes, and maintaining data security and compliance. They also need to troubleshoot complex issues that arise with real-time data processing and integration from multiple sources. Collaborating closely with data scientists, analysts, and IT teams is essential to design scalable solutions that meet business needs.

What are Big Data Engineers?

Big Data Engineers are IT professionals who design, build, and maintain systems that process large volumes of data. They create the architecture and pipelines required to collect, store, and analyze data efficiently, often working with technologies like Hadoop, Spark, and NoSQL databases. Their work enables organizations to derive valuable insights from massive datasets, supporting data-driven decision-making and advanced analytics.

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 a strong background in computer science, data modeling, and programming languages like Python, Java, or Scala, often supported by a relevant degree. Proficiency with big data frameworks (such as Hadoop and Spark), cloud platforms, and database systems is essential, along with certifications like AWS Certified Big Data or Cloudera Certified Professional. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills for tackling complex data challenges and working in diverse teams. These skills ensure efficient data processing, reliable infrastructure, and actionable insights that drive business value.

What is the top 10 richest job?

High-paying jobs often include roles such as surgeons, anesthesiologists, orthodontists, corporate executives, and investment bankers, with salaries frequently exceeding $200,000 annually. These positions typically require advanced education, specialized skills, and significant experience, and they often operate in high-stakes environments like healthcare, finance, and management.

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The top 10 jobs vary by industry and demand but often include roles such as software developers, healthcare professionals, data analysts, sales managers, project managers, customer service representatives, accountants, marketing specialists, administrative assistants, and skilled trades like electricians and plumbers. These positions typically require relevant skills, certifications, and experience, and are sought after due to strong employment prospects and competitive salaries.
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Infographic showing various Big 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 $106,879 per year, or $51.4 per hour.
Big data technical lead

Big data technical lead

ClifyX

Austin, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Big Data Technical Lead

Location: Austin, Texas

Position: Fulltime

Work experience of full stack Big Data project on HDP platform.

Hands-on experience in Spark, Python, Hive and Kafka.

Agile with good knowledge of relational DWs like Teradata and knowledge on No SQL Databases is a plus.

Good experience in at least one Hadoop distributor like Hortonworks and Python scripting.

Design, develop, and configure software systems to meet market and/or client requirements either end-to-end SDLC cycle with the optimal use of Big Data.

Experience on Data standards and Security with respect to Big Data Tools and utilities.

Working experience with large volume of data.

An ability to communicate technical information to non-technical staff in a way that is easy to understand.

Excellent presentation and documentation skills.

Previous experience working in a technical pre-sales position is a plus.

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About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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