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Entry Level Big Data Engineer Jobs (NOW HIRING)

TriOptus LLC

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Position: Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 position that requires candidates to be onsite for 2- 3 days in a week (Hybrid role)

Redolent, Inc.

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

We are looking for a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL and Chicago, IL This is a 12+ month W2 contract opportunity. Summary: Join a ...

SP Software Solutions

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... Big Data & Java etc. * Work with business partners directly to seek clarity on requirements ... Electrical Engineering, Information Systems or other technical discipline; advanced degree ...

SP Software Solutions

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... Big Data & Java etc. * Work with business partners directly to seek clarity on requirements ... Expertise in Object Oriented Programming Language - Java / Python. Experience using CI/CD Process ...

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 ...

Cygnus Professionals, Inc.

Big Data Engineer

Palo Alto, CA · On-site

$65.50 - $86.75/hr

Role: Big Data Engineer w/Spark Location: Palo Alto, CA Duration: Potential Contract to Hire Mode of Interview: Skype After Phone !! Need Green Card OR US Citizen OR EAD GC Candidates Only

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... Big Data Pig Hive Spark & Scala. - The resource should have experience in SQL/DB2. - Excellent interpersonal verbal and written communication skills are required to interact with clients and Business ...

Genesis10

Big Data Engineer - Onsite

Charlotte, NC · On-site

$54.50 - $72/hr

Genesis10 is currently seeking a Big Data Engineer for an onsite position at a Global Financial Institution. This role focuses on delivering the best experience for customers while managing data ...

USM

Big Data Engineer

Alexandria, VA · On-site

$59.75 - $79/hr

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

Stem Xpert

Big Data Engineer

New York, NY

$61 - $80.75/hr

... engineering and systems integration. Our tightly integrated offerings are tailored to each clients ... Primary Skills: 1. Very strong server-side Java experience, especially in an open source, data ...

Programmers.io

Big Data Engineer

Pennington, NJ · On-site

$56.25 - $74.50/hr

Experience using statistical computer languages (Python, SQL, hive, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge ...

Stem Xpert

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

... engineering and systems integration. Our tightly integrated offerings are tailored to each clients ... data-intensive, distributed environments. 2. Should have worked on open source products and ...

Collabera

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

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Entry Level Big Data Engineer information

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How much do entry level big data engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for entry level 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 are the key skills and qualifications needed to thrive in the Entry Level Big Data Engineer position, and why are they important?

To thrive as an Entry Level Big Data Engineer, you should have a solid understanding of programming languages like Python or Java, basic knowledge of data processing frameworks such as Hadoop or Spark, and a relevant degree in computer science, data engineering, or a similar field. Familiarity with data storage technologies, cloud platforms (AWS, Azure, or Google Cloud), and introductory-level certifications in these tools are commonly expected. Strong analytical thinking, problem-solving skills, and effective communication are valuable soft skills for this position. These capabilities are crucial for efficiently handling large datasets, collaborating with technical teams, and delivering reliable data solutions in a fast-paced environment.

What are some typical projects or tasks an Entry Level Big Data Engineer might work on?

As an Entry Level Big Data Engineer, you can expect to assist in building data pipelines, cleaning and transforming raw data, and supporting the integration of data from multiple sources. You may collaborate with data scientists and senior engineers to help maintain or optimize data storage systems and ensure data quality. Your daily tasks could include writing simple scripts, monitoring data flows, and troubleshooting issues under the guidance of more experienced team members. This role offers a great opportunity to learn from hands-on projects while developing a deep understanding of big data systems and engineering best practices.

What is an Entry Level Big Data Engineer job?

An Entry Level Big Data Engineer is responsible for designing, building, and maintaining data pipelines that process large volumes of structured and unstructured data. They work with big data technologies like Hadoop, Spark, and cloud-based solutions to support data storage, transformation, and analysis. Their role often involves writing ETL (Extract, Transform, Load) scripts, optimizing data workflows, and ensuring data quality. They collaborate with data scientists, analysts, and software engineers to enable scalable data solutions. This position requires knowledge of programming languages like Python, Java, or Scala and familiarity with SQL and distributed computing concepts.

More about Entry Level Big Data Engineer jobs
What cities are hiring for Entry Level Big Data Engineer jobs? Cities with the most Entry Level Big Data Engineer job openings:
What are the most commonly searched types of Big Data Engineer jobs? The most popular types of Big Data Engineer jobs are:
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What job categories do people searching Entry Level Big Data Engineer jobs look for? The top searched job categories for Entry Level Big Data Engineer jobs are:
Entry Level Big Data Engineer jobs near you
Infographic showing various Entry Level 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.
Big Data Engineer

Big Data Engineer

TriOptus LLC

Houston, TX • On-site

$53.25 - $70.50/hr

Full-time

Re-posted 21 days ago

Job description

Position: Software Engineer (Big Data)
Duration: 3-6 Months CTH
Location: Houston/Plano, TX
This is a W2 position that requires candidates to be onsite for 2-3 days in a week (Hybrid role).
Required Skills:
  • Hadoop.
  • Java.
  • Spark.
  • SQL.

Nice to Have:
  • AWS experience.
  • Green Plum experience.

Job description:
  • Proficient in Big Data application development skills as well as multiple design techniques
  • Working proficiency in Big Data development toolset to design, develop, test, deploy, maintain and improve software
  • Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks
  • Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security
  • Proficiency in one or more general purpose programming languages
  • Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software.

Anthony Kay

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