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Fulltime Entrylevel Data Engineer Jobs in New Jersey

Precision Technologies Corp

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and optimization of batch and real-time data pipelines, ensuring scalability, reliability, and performance.

Infosys Limited Digital

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Jersey City, NJ Type: Full-Time Description : We are seeking an experienced Big Data Engineer with hands-on experience in designing, developing, and managing scalable big data pipelines and platforms.

Infosys

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

Astrana Health, Inc.

$105K - $200K/yr

Data Engineer (Multiple Levels) Department ... Data - Analytics Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA ...

United Airlines

Data Engineer

Bridgewater, NJ · On-site

$80K - $106K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

United Airlines

Sybase Data Engineer

Bridgewater, NJ · On-site

$103K - $128K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

United Airlines

Sybase Data Engineer

Bridgewater, NJ · On-site

$103K - $128K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

Skill Hadoop Big Data Big Data Engineer Flume Storm Hive Location Bridgewater, NJ Total Experience ... Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT and EAD ...

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All JobsFulltime Entrylevel Data Engineer JobsFulltime Entrylevel Data Engineer Jobs in New Jersey

Fulltime Entrylevel Data Engineer information

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

AspectFulltime Entrylevel Data EngineerEntry-Level Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of SQL, Python, or JavaBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and basic data visualization
Work EnvironmentTech companies, data-driven organizations, cloud platformsBusiness, marketing, finance sectors; reporting and visualization teams
Employer & Industry UsageUsed in IT, software, and data-centric industriesCommon in finance, marketing, consulting firms

Fulltime Entry-level Data Engineers focus on building and maintaining data pipelines, databases, and infrastructure, requiring programming skills and technical knowledge. Entry-Level Data Analysts primarily interpret data, create reports, and visualize insights, emphasizing analytical skills. Both roles are essential in data-driven organizations but differ in technical complexity and responsibilities.

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Fulltime Entrylevel Data Engineer jobs near you

Data Engineer

Jersey City, NJ • On-site, Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

$125K - $150K/yr

Full-time

Re-posted 29 days ago

Job description

Job Title: Data Engineer
Job Summary:

We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.

  • Build and optimize data architecture and data models to support analytics and reporting needs.

  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.

  • Implement data quality checks and ensure data integrity across all pipelines.

  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.

  • Monitor data pipeline performance and troubleshoot data-related issues.

  • Ensure compliance with data governance and data security policies.

  • Automate manual processes and improve data workflows for efficiency and scalability.

  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

  • 2+ years of experience as a Data Engineer or in a similar role.

  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).

  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).

  • Proficiency in at least one programming language (e.g., Python, Java, Scala).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.

  • Understanding of data warehousing concepts and dimensional modeling.

  • Experience with version control systems like Git.

Preferred Qualifications:

  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).

  • Knowledge of CI/CD and DevOps practices in a data engineering context.

  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:

  • Competitive salary and benefits package.

  • Flexible work hours and remote work options.

  • Opportunity to work with a talented and passionate team on cutting-edge data projects.

  • Professional development opportunities and career growth support.

Employment Type: FULL_TIME

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