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Seasonal Entry Level Data Engineering Jobs (NOW HIRING)

Tech Consulting

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open relocate. Employment Type: Full-time Job Summary We are looking for a motivated Entry-Level Data ...

Posted today

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology ... engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data ...

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Inroads

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt.

DeFiner Inc

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

SynergisticIT

SQL Developer (Entry-Level)

Baltimore, MD · On-site

$49 - $67/hr

... possible. Entry-level candidates can stand out by showing they understand data movement ... SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop ...

SynergisticIT

Jr. Java Programmer (Remote)

Toledo, OH · On-site

Entry-Level Data Scientist / Java Developer -- Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured ...

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Seasonal Entry Level Data Engineering information

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$10

$19

$26

How much do seasonal entry level data engineering jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for seasonal entry level data engineering in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Entry Level Data Engineering vs Data Analyst?

AspectSeasonal Entry Level Data EngineeringData Analyst
Required CredentialsBasic knowledge of SQL, Python, or similar; often no formal certification neededProficiency in SQL, Excel, and data visualization tools; may have certifications in analytics
Work EnvironmentData engineering teams, tech companies, or IT departments; project-based seasonal rolesBusiness departments, consulting firms, or finance; focus on data interpretation
Employer & Industry UsageUsed in tech, finance, retail for short-term data infrastructure projectsCommon across industries for reporting, insights, and decision-making

Seasonal Entry Level Data Engineering roles focus on building and maintaining data pipelines, often requiring basic technical skills. Data Analysts interpret data to provide insights, emphasizing analysis and visualization. While both roles involve working with data, their core responsibilities and skill sets differ, with data engineering being more technical and infrastructure-oriented, and data analysis centered on interpreting data for business decisions.

More about Seasonal Entry Level Data Engineering jobs
What cities are hiring for Seasonal Entry Level Data Engineering jobs? Cities with the most Seasonal Entry Level Data Engineering job openings:
What are the most commonly searched types of Seasonal Data Engineering jobs? The most popular types of Seasonal Data Engineering jobs are:
What states have the most Seasonal Entry Level Data Engineering jobs? States with the most job openings for Seasonal Entry Level Data Engineering jobs include:
What job categories do people searching Seasonal Entry Level Data Engineering jobs look for? The top searched job categories for Seasonal Entry Level Data Engineering jobs are:
Seasonal Entry Level Data Engineering jobs near you
Infographic showing various Seasonal Entry Level Data Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted 20 hours ago

Posted today

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Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

Thanks