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Entry Level Data Jobs in Closter, NJ (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 ...

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SBG Distribution LLC

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Data Destruction Technician (Entry Level)

Mineola, NY · On-site

$39K - $45K/yr

Pay: $20.00 - $24.00 per hour Job Summary We are seeking a motivated and detail-oriented Entry Level Data Destruction Technician who will perform data destruction services on electronic devices such ...

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Mood Fabrics

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Textile Product Specialist

Lodi, NJ · On-site

$22 - $25/hr

This is not an entry-level data entry position. The successful candidate will be expected to evaluate, identify, classify, and accurately document a wide variety of fabrics and textiles. They will ...

Robert Half

Accountant - Entry Level

New York, NY · On-site

$22.80 - $26.40/hr

We are looking for an organized and motivated entry-level accounting specialist to support daily ... data into company records with a high level of accuracy. • Perform account reconciliations to ...

Hadronts

Entry Level Java developer

Jersey City, NJ

... to work with you. Entry Level Java developer We are looking for a motivated and confident ... Perform data analysis to support internal and external project needs. Design basic programs for ...

Robert Half

Financial Analyst - Entry Level

Englewood, NJ · On-site

$21.85 - $25.30/hr

Responsibilities: • Support daily financial and accounting activities by reviewing data ... Entry-level experience or foundational knowledge in financial analysis, accounting support, or ...

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KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

This position is a mid-level Data Steward role, intended for individuals who have progressed beyond entry-level responsibilities and are capable of independently processing both standard and complex ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

This position is a mid-level Data Steward role, intended for individuals who have progressed beyond entry-level responsibilities and are capable of independently processing both standard and complex ...

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Entry Level Data information

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How much do entry level data jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for entry level data in Closter, NJ is $20.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.64 per hour, depending on experience, location, and employer.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What cities near Closter, NJ are hiring for Entry Level Data jobs? Cities near Closter, NJ with the most Entry Level Data job openings:
Entry Level Data jobs near you
Infographic showing various Entry Level Data job openings in Closter, NJ 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,950 per year, or $20.2 per hour.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted yesterday

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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

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