Are you motivated by collaborating with cross‑functional teams to solve real business problems using modern cloud‑based data technologies?
Do you enjoy designing scalable data pipelines that turn complex data into reliable insights used across an organization?
About Us:
Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery. As a Senior Data Engineer, you’ll help build the foundation for data-driven decision making across the organization, collaborating with teams to deliver scalable, secure, and reliable data solutions.
About the Team:
We are a collaborative, forward-thinking data engineering team focused on building modern cloud-based data platforms and pipelines. Our work spans Python, SQL, Snowflake, AWS, Airflow, and other cutting-edge technologies. We take pride in delivering robust architectures, implementing DataOps best practices, and mentoring others. We work closely with business partners in the U.S., and time zone overlap is key to our success.
This role supports long-term strategic goals, transitioning from contractor-led efforts to full-time ownership that strengthens our internal capabilities and ensures sustainable growth.
About the Role:
We are seeking a Senior Data Engineer who enjoys working in collaborative, inclusive environments and building scalable, reliable data solutions. In this role, you will design and maintain data architectures, develop ETL/ELT pipelines, and apply DataOps practices to support business needs. You will work closely with partners across teams to translate requirements into technical solutions and support the growth of other engineers through mentorship and knowledge sharing.
Responsibilities:
- Design, build, and maintain scalable data pipelines using Python, Snowflake, AWS Glue, Airflow, or comparable technologies.
- Develop and optimize ETL and ELT workflows to ingest, transform, and deliver data from multiple sources.
- Implement data quality checks, monitoring, and alerting to support reliable and trustworthy pipelines.
- Collaborate with analysts, data scientists, and business stakeholders to understand needs and deliver practical solutions.
- Define, promote, and apply data engineering best practices, coding standards, and design patterns.
- Optimize query performance and data storage strategies in Snowflake and other cloud data warehouses.
- Implement and maintain CI/CD pipelines to support automated testing and deployment of data workflows.
- Monitor pipeline performance, troubleshoot issues, and continuously improve stability and efficiency.
- Create and maintain clear technical documentation for data architectures, pipelines, and processes.
- Participate in code reviews and share constructive, respectful feedback with team members.
- Coach and mentor junior data engineers by sharing modern tools, techniques, and best practices.
- Stay informed about emerging data technologies and assess their value for business use cases.
- Collaborate with DevOps and platform teams to support scalable and reliable infrastructure.
- Support data governance initiatives and follow established security and compliance practices.
Requirements:
- Relevant professional experience in data engineering or a closely related field, with demonstrated impact in prior roles.
- Strong working knowledge of Python for data engineering, automation, and ELT development.
- Solid SQL skills, including experience improving query performance and efficiency.
- Experience working with Snowflake or similar cloud data platforms, including query tools and automation features.
- Familiarity with AWS data services such as Glue, S3, Lambda, or Redshift, or equivalent cloud technologies.
- Experience with Airflow or other workflow orchestration tools such as Luigi, Prefect, or Dagster.
- Understanding of data modeling concepts such as dimensional modeling, normalization, or data vault.
- Exposure to streaming technologies, analytics engineering tools such as dbt, or similar solutions.
- Knowledge of DataOps practices, CI/CD for data pipelines, and infrastructure as code tools like Terraform.
- Familiarity with data quality tools, containerization, or orchestration technologies is beneficial but not required.
- Awareness of data governance, security best practices, and regulatory considerations.
- Clear communication skills, with the ability to engage both technical and non‑technical audiences.
Willingness to go into the office twice a week in Reforma.
Working for You:
We care about your wellbeing and success. Here are some of the benefits we offer:
Private Medical/Dental Plan
Savings Fund
Life Insurance
Meal/Grocery Voucher
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. What you do every day will help advance science and healthcare to advance 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.
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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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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.
