2

Entry Level Big Data Engineer Jobs (NOW HIRING)

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 ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills: Hadoop , Spark (Batch/Streaming) , Hive , Python , Google Cloud Platform , Shell Scripting , Java , Scala ...

New

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 ...

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

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

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

Big Data Engineer Location: Pittsburgh, PA Mode: Permanent We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of large sets of data. The ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In this role, you will design, develop, and maintain data pipelines to support business intelligence and ...

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

They are seeking a skilled and motivated Big Data Engineer to design, develop, and maintain data pipelines, optimize data storage solutions, and support business intelligence and analytics needs.

Big Data Engineer

Malvern, PA · On-site

$54.75 - $72.25/hr

Big Data Engineer Location : Malvern, PA Hybrid Duration : Initial 12 months + options to extend - Long term contract role Responsibilities * Collaborate on the Smartstream cash reconciliation ...

Big Data Engineer

$57 - $75.50/hr

Maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments. * Responsible for delivery of assigned projects, this may include providing ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

Big Data Engineer

Chicago, IL

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Our client, a premier investment bank, is looking for a Big Data Engineer to join their growing team in Chicago, IL. Currently our client spends a lot of time trying to answer client's questions by ...

next page

Showing results 1-20

Entry Level Big Data Engineer information

See salary details

$15

$62

$88

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

As of Aug 22, 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?

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 as an entry level big data engineer?

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.

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:

What states have the most Entry Level Big Data Engineer jobs?

States with the most job openings for Entry Level Big Data Engineer jobs include:

Infographic showing various Entry Level Big Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Conflux Systems

Charlotte, NC • On-site

$55/hr

Full-time

Posted 14 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.