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Entry Level Big Data Engineer Jobs (NOW HIRING)

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 ...

NJ · Hybrid

$170K/yr

Barclays Services Corp. seeks Big Data Engineer, AVP in Whippany, NJ (multiple positions available): Analyze system requirements to automate and improve functionality and test, maintain, monitor, and ...

Big Data developer

Redmond, WA

$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 ...

NJ · Hybrid

$170K/yr

Barclays Services Corp. seeks Big Data Engineer, AVP in Whippany, NJ (multiple positions available): Analyze system requirements to automate and improve functionality and test, maintain, monitor, and ...

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 ...

We are seeking a Data Engineer to help support large-scale enterprise big data platforms. This team is responsible for building and evolving modern data solutions that enable analytics across the ...

New

Big Data Engineer - Sr

Plano, TX · On-site

$53.50 - $71/hr

Data Engineer Location: Plano TX (3 Days/ Hybrid) Duration: 7 Months + Interview: 1 Round Role Summary * Large-scale enterprise migration initiative involving migration of existing data pipelines to ...

... big data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

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 ...

Showing results 41-60

Entry Level Big Data Engineer information

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$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 with HL7 Healthcare/Python

Avani Technology Solutions, Inc.

Dallas, TX • On-site

$52.50 - $69.25/hr

Full-time

Re-posted 26 days ago


Job description

Role: Big Data Engineer with HL7 Healthcare/Python
Location: Dallas, TX
Duration: 9 Months
Top Three Skills:
1) Big Data Solutions in Cloudera Environment (Act as a technical expert addressing problems related to system and application design, performance, integration, Automation, etc.)
2) Enterprise Data Lake App. Development(Hive, Kafka, Flume, Sqoop, oozie, Spark, Shell Scripting, Python, SQL.all a must)
3) Data Warehousing (experience with relational database management systems like Oracle, Microsoft SQL Server, etc. )
4) Healthcare Domain Knowledge (HL 7, Health care exchange data, population health, claims data etc)
Job Description:
The Big Data Engineer is responsible for designing and building big data platforms, tools, and solutions that help manage, secure, and generate value from data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data at scales.
As a member of the Big Data team at Ascension, this person will specialize in Big Data technologies and solutions, helping to support teams in response to deliverables, ownership and pro-activeness to drive positive customer experience.
Ascension Health (Ascension Information Systems) is in the process of constructing a large enterprise data warehouse (data lake, etc. ). Construction of structured data segments within the enterprise data warehouse is imperative to segmenting the provider healthcare data being pulled from the different Ministries (hospital networks) within the Ascension Health Network. The developers within this task will have expert understanding of design patterns and have strong analytical skills. The organization craves forward thinking, resourceful developers with experience in Big Data solutions for enterprise businesses. Proficiency in gathering requirements, analysis and validation of business requirements, specifications; along with functional specifications for schema creations and table creations.
- Extensive experience in all phases of Software development life cycle (SDLC) is a must.
- Excellent skills in analyzing system architecture usage, defining and implementing procedures.
- Hands on experience in programming and implementation of Java, Scala and Python codes with strong knowledge in Object Oriented Concepts.