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Data Engineer Entry Level Jobs in Merrick, NY (NOW HIRING)

ETL Engineer

New York, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse ...

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 ...

... data scientists, AI engineers, program managers, a model validation & governance group, and a communications & development group. The AI Engineer is an entry-level engineering role designed for early ...

Showing results 41-60

Data Engineer Entry Level information

See Merrick, NY salary details

$45.6K

$132.8K

$181.8K

How much do data engineer entry level jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer entry level in Merrick, NY is $132,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,800.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

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

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What job categories do people searching Data Engineer Entry Level jobs in Merrick, NY look for? The top searched job categories for Data Engineer Entry Level jobs in Merrick, NY are:
What cities near Merrick, NY are hiring for Data Engineer Entry Level jobs? Cities near Merrick, NY with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Merrick, NY as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,824 per year, or $63.9 per hour.

Entry Level Business Analyst

Data Cloud Merge

New York, NY

Full-time

Re-posted 15 days ago


Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Create and maintain business requirements, process flows, use cases, and gap analysis in a Waterfall environment.
  • Create a Business Requirements Document (BRD), Functional Requirements Document (FRD), analyze data/workflows and define the scope.
  • Participate in Gap Analysis to identify the current system's deficiencies and the requirements for the changes in the proposed system.
  • Conduct JAD sessions to develop a business solution that application meets business requirements, resolve open issues, and change requirements.
  • Create and configure new JIRA projects and worked with departments to maintain existing JIRA projects.
Qualifications
  • Master's/Bachelor's in Science, Engineering, Information Management, or a related field is highly desirable.
  • Knowledge of all SDLC phases, including requirements gathering, documenting, and testing.
  • Demonstrated ability to quickly learn new business and technical concepts in a fast-paced service-focused environment.
  • Excellent analytical reasoning, problem-solving, time management, and organizational skills.
Additional Information

Describe your perks and culture