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Entry Level Big Data Engineer Jobs (NOW HIRING)

SP Software Solutions

Big Data Engineer

Mountain View, CA

$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

The resource should have knowledge and hands on Hadoop Big Data Pig Hive Spark & Scala. * The resource should have experience in SQL/DB2. * Excellent interpersonal verbal and written communication ...

Seven Seven Software

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

The data engineers would build the Data Lake that enables the ML team to develop models and serve the data for production flow. Specifically, the engineers would be sourcing data, building data ...

USM

Big Data Engineer

Alexandria, VA

$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 ...

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 · On-site

$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 ...

Stem Xpert

Big Data Engineer

New York, NY · On-site

$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 ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

GMV

Internships: Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Prophecy Technologies

GCP Big Data Engineer

Basking Ridge, NJ · On-site

$57.50 - $76/hr

* CDL Support Engineer * Linux expertise * Strong Shell scripting skills * Experience with Hive ... Strong experience with AWS big data services such as EMR, Redshift, Glue, Lambda, Athena, and S3 ...

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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 May 29, 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 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.

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.

How do I become a data engineer with no experience?

To become an entry-level big data engineer with no experience, focus on building foundational skills in programming languages like Python or Java, learn about data storage and processing tools such as Hadoop and Spark, and complete relevant online courses or certifications. Gaining hands-on experience through personal projects or internships can also help demonstrate your abilities to employers.
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Entry Level Big Data Engineer jobs near you
Infographic showing various Entry Level Big Data Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 91% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

SP Software Solutions

Mountain View, CA

$65.75 - $87/hr

Contractor

Posted 7 days ago

Job description

Job Description
  • Translate business requirements and source system understanding into technical solutions using Opensource Tech Stack, Big Data & Java etc.
  • Work with business partners directly to seek clarity on requirements
  • Define solutions in terms of components, modules and algorithms
  • Design, develop, document and implement new programs  and subprograms, as well as enhancements, modifications, and corrections  to existing software. 
  • Create technical documentation and procedures for installation and maintenance.  
  • Write Unit Tests covering known use cases using appropriate tools
  • Integrate test frameworks in development process
  • Refactor existing solutions to make it reusable and scalable
  • Work with operations to get the solutions deployed
  • Take ownership of production deployment of code
  • Collaborating with and/or lead cross functional  teams, build and launch applications and data platforms at scale, either for revenue generating or operational purposes
  • Come up with Coding and Design best practices
  • Thrive in self-motivated internal-innovation driven environment
  • Adapting fast to new application knowledge and changes
Qualifications

Master/Bachelor degree in Computer Science, Electrical Engineering, Information Systems or other technical discipline; advanced degree preferred.
Minimum of 2+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies.
Minimum 1+ years of experience in Python, Pandas and SQL
Strong knowledge of Database concepts and Python.
Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle).
Expertise in Object Oriented Programming Language - Java / Python.
Experience using CI/CD Process, version control and bug tracking tools.
Experience in handling very large data volume in low latency and batch mode.
Experience with automation of job execution, validation and compares of the data files on Hadoop Env at the field level.
Experience in leading a small team and be a team player.
Strong communication skills with proven ability to present complex ideas and document in a clear and concise way.
Quick learner; self-starter, detailed and in-depth.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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