Data Engineer II

Posted 5 Days Ago
Wall, NJ, USA
In-Office
Junior
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
Early-career data engineer contributing to design, build, and maintain ELT/ETL data pipelines using Python, SQL, Spark and pipeline tools. Collaborates with product, platform, and data science teams, follows best practices, participates in code reviews, and supports AWS cloud infrastructure.
Summary Generated by Built In

                                                    Data Engineer II

Are you passionate about building scalable, high-performance data-driven applications?
Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?

                          

About the team: 

The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Junior Data Engineer, you will work hands-on building and maintaining data pipelines and services, growing your skills alongside experienced engineers in a collaborative team environment.

About the role:   

This position is suited for an early-career professional with 2–3 years of experience who will contribute to research, design, and software development assignments within a software functional area or product line. Working under the guidance of senior team members, this position supports project delivery by participating in planning discussions and following established methodologies. The role involves contributing to software design at the component level, learning and applying best practices through hands-on work and code reviews, and developing communication skills by engaging with team members to understand requirements and translate them into solutions.

 Key responsibilities: 

  • Building and maintaining data pipelines and services under the guidance of senior engineers.

  • Working with technologies such as Python, SQL, Spark, and Airflow to process large-scale data.

  • Using AI-assisted development tools such as Claude Code, Copilot, or Codex as part of your workflow.

  • Contributing to ELT and ETL pipelines for data ingestion into search, graph, and relational data stores.

  • Writing clean, well-tested code and learning best-practice software engineering principles, including CI/CD.

  • Contributing to cloud infrastructure on AWS, with support from the wider team.

  • Participating in code reviews and actively seeking feedback to accelerate your growth.

  • Collaborating with product, platform, and data science teams to deliver business value.

 Requirements:  

  • 2–3 years of commercial experience as a data or software engineer, including some exposure to production systems.

  • Proficiency in Python, SQL, and Spark.

  • Basic understanding of data engineering concepts including batch processing and relational databases.

  • Some hands-on experience with data pipeline tools; exposure to Spark or Airflow is a plus.

  • Familiarity with cloud platforms (preferably AWS); production experience is not required.

  • A collaborative mindset and willingness to learn and communicate openly within the team.

Nice to have

  • Exposure to data lake concepts or formats such as Delta Lake or Iceberg.

  • Any experience with search, graph, or large-scale analytical databases.

  • Interest in AI, machine learning pipelines, or embedding generation.

Why join us? 

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. 

Work in a way that works for you 
 

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 

Working for you 

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 

  • Comprehensive Pension Plan 

  • Generous vacation entitlement and option for sabbatical leave 

  • Maternity, Paternity, Adoption, and Family Care Leave 

  • Flexible working hours 

  • Personal Choice budget 

  • Internal communities and networks 

  • Various employee discounts 

  • Recruitment introduction reward 

  • Employee Assistance Program (global) 

 
About the business – 

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. 

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We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Skills Required

  • 2-3 years commercial experience as a data or software engineer with exposure to production systems
  • Proficiency in Python, SQL, and Spark
  • Basic understanding of data engineering concepts including batch processing and relational databases
  • Some hands-on experience with data pipeline tools
  • Familiarity with cloud platforms (preferably AWS)
  • Collaborative mindset and willingness to learn and communicate openly
  • Exposure to Spark or Airflow
  • Exposure to data lake formats such as Delta Lake or Iceberg
  • Experience with search, graph, or large-scale analytical databases
  • Interest in AI, machine learning pipelines, or embedding generation
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The Company
HQ: Amsterdam
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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