Senior Data Engineer I

Reposted 15 Days Ago
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Hiring Remotely in México
Remote
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
The Senior Data Engineer I will design and implement robust data solutions, ensure high-quality data delivery, and improve data platform reliability. Collaboration across teams to enhance data sharing and decision-making is key to this role.
Summary Generated by Built In

Are you looking to make a meaningful impact by enabling data-driven solutions that support global health?

Do you want to join a collaborative, inclusive, and innovative team where your work helps improve healthcare outcomes worldwide?

About our Team:

The AIS (Academic Information Systems) DataOps team is responsible for managing the complex flow of data across teams, data centers, and organizational boundaries. Data is sanitized, consolidated, modeled, documented, and visualized to help tell a bigger story around how our products are used to help faculty members and researchers advance the missions of their organizations.

About the Role:

As a Senior Data Engineer I, you will play a key role in building secure, scalable, and reliable data infrastructure that supports our global operations. You will collaborate across teams to facilitate the smooth flow of data, ensuring high-quality information is available for analysis and decision-making. Your work will help drive impactful solutions for colleagues and customers by enabling effective data sharing and storytelling.

Responsibilities:

  • Design and implement robust data orchestration and transformation solutions.

  • Ensure reliable delivery of high-quality data for analysis, reporting, and sharing.

  • Collaborate with cross-functional teams to define, maintain, and promote coding and technical standards.

  • Partner with DevOps to automate deployments and apply Infrastructure as Code (Iaff) for consistent environments.

  • Build reusable frameworks, modular components, and common deployment patterns using Airflow.

  • Document best practices and support knowledge sharing across teams.

  • Improve platform reliability and scalability through enhanced logging, monitoring, and observability.

  • Identify and address gaps in the data platform, support DataOps initiatives, and incorporate user feedback.

Requirements:

  • Experience with modern data stack technologies such as Airflow, Snowflake, and DBT. Experience with Tableau, Sisense, AWS, GitHub, Terraform, and/or Docker is highly desirable.

  • Ability to create deployable data pipelines and ETL/ELT solutions using Python, SQL, or Jinja.

  • Knowledge of the Software Development Life Cycle (SDLC), DataOps, and DevOps practices.

  • Active participation in Agile environments and commitment to continuous improvement.

  • Strong communication and collaboration skills, with openness to feedback and new ideas.

  • Familiarity with designing secure, scalable, and cost‑effective cloud‑based data solutions.

  • Understanding of data governance, privacy, and security practices.

We encourage applicants from all backgrounds and identities. If you meet most requirements but not all, we still encourage you to apply.

Work in a way that works for you:

We promote a healthy work/life balance across the organization. We provide a flexible and supportive environment where all colleagues can thrive. With numerous well‑being initiatives, shared parental leave, study assistance, and sabbaticals, we are committed to supporting your immediate responsibilities and long‑term aspirations.

Working for you:

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

  • Private Medical/Dental Plan

  • Savings Fund

  • Life Insurance

  • Meal/Grocery Voucher

About the business:

We are 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 high‑quality information and vast datasets with analytics to support visionary science and research, health education and interactive learning, and exceptional healthcare and clinical practice.

What you do every day will help advance science and healthcare—contributing to human progress.

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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Top Skills

Airflow
AWS
Dbt
Docker
Git
Jinja
Python
Sisense
Snowflake
SQL
Tableau
Terraform
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The Company
0 Employees
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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