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Entry Level Data Engineering Jobs in Brooklyn, NY

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

... programming and understanding of the software development life cycle Knowledge of Linear Algebra ... complex data problems Assess project requirements and develop data analysis algorithms Engage ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

Backend Developer - Remote

Piscataway, NJ · On-site

$50.50 - $65.50/hr

... multiple entry-level paths. SynergisticIT is considering candidates interested in Java, Python, SQL, full-stack development, data analytics, data science, data engineering, BI, and ML/AI. This ...

Required Skills ReactJS NodeJS Required Experience We are looking for excellent aptitude towards ndoejs, react and data engineering. knowledge of Reactjs, JavaScript, CSS and HTML is must. Should ...

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Entry Level Data Engineering information

See Brooklyn, NY salary details

$12

$21

$33

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

As of Aug 21, 2026, the average hourly pay for entry level data engineering in Brooklyn, NY is $21.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.98 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Brooklyn, NY?

The most popular types of Data Engineering jobs in Brooklyn, NY are:

What are popular job titles related to Entry Level Data Engineering jobs in Brooklyn, NY?

For Entry Level Data Engineering jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Brooklyn, NY look for?

The top searched job categories for Entry Level Data Engineering jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Entry Level Data Engineering jobs?

Cities near Brooklyn, NY with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Brooklyn, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,267 per year, or $21.3 per hour.

Entry Level Data Analyst

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 3 hours ago


Job description

Job description
Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management