Data Engineer

ABOUT APPLY DIGITAL

Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to the business and to their customers. Our 650+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Games Workshop, Atlassian, and The Very Group. Visit applydigital.com to learn how we can unlock your company’s potential.

If you'd like to learn more about Apply Digital's culture click HERE.

LOCATION: Apply Digital is hybrid/remote-friendly. The preferred candidate should be based in Latin America, preferably working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).

Candidates located in Santiago, Chile are able to work out of our Santiago office as remote/hybrid employees. Candidates located outside of Santiago, Chile will be fully remote employees.

THE ROLE:

Apply Digital is hybrid/remote-friendly. The preferred candidate should be based in Latin America, preferably working in hours that align to ET.

Candidates located in Santiago, Chile are able to work out of our Santiago office as remote/hybrid employees. Candidates located outside of Santiago, Chile will be fully remote employees.

We are Apply Digital — a high-growth digital experience agency working with brands like Moderna, Kraft Heinz, and Atlassian. With a focus on transforming possibilities for people, we solve complex problems with well-executed digital solutions that make people's lives easier and help our clients compete.

Apply Digital is seeking a Senior Data Engineer to join our team. You will work closely with cross-functional teams to define data requirements and technology stacks for projects, translate business requirements into technical specifications, and develop data architecture frameworks, standards, and principles. The successful candidate will have a strong background in data engineering, with excellent communication skills to interact with stakeholders and clients. If you have a passion for technology, thrive in a dynamic environment, and possess strong client-facing communication skills, we want to hear from you.

Responsibilities:

• Design, build, and optimize ETL/ELT pipelines using Python and SQL
• Develop and maintain data warehouse schemas and analytics solutions
• Implement data models and ensure data quality, consistency, and integrity
• Leverage cloud data platforms (e.g., AWS Athena, Databricks, Snowflake, Azure Synapse/Fabric, Google BigQuery) for storage, processing, and querying
• Create and maintain optimal data pipeline architecture.
• Collaborate with analysts and stakeholders to define requirements and deliver data solutions that meet business needs
• Communicate with stakeholders to understand data requirements and develop solutions.
• Design, develop, implement, and maintain data architectures and pipelines.
• Optimize query performance and ensure efficient data workflowsDocument data pipelines, architectures, and processes
• Continuously improve and refine existing data infrastructure and solution
• Develop and implement best practices for data management, security, and privacy.

Requirements:

• A Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in data engineering or related fields.
• Strong expertise in SQL, ETL, and data warehousing technologies.
• Strong working knowledge of Python and PySpark
• Proven experience with at least one major cloud data platform (AWS Athena, Databricks, Snowflake, Azure Synapse/Fabric, or Google BigQuery)
• Knowledge of data migration tools and techniques.
• Good knowledge of databases.
• Strong background in data warehouse design, ETL/ELT processes, and data modeling, ideally with modern data warehouse and DBT
• Familiarity with cloud engineering concepts and best practices
• Experience working with large datasets and optimizing performance
• Excellent problem-solving skills and attention to detail
• Outstanding communication skills in English, both written and verbal.

Nice-to-haves

• Knowledge of multiple cloud platforms (AWS, Azure, GCP) and their data services
• Familiarity with data governance and compliance requirements
• Knowledge of CI/CD practices for data engineering
• Familiarity with Agile development methodologies
• Experience with containerization (Docker, Kubernetes)




#LI-Remote #LI-FS1

LIFE AT APPLY DIGITAL

Great projects: Broaden your skills on a range of engaging projects with global brands and important work for causes we care about.

An inclusive environment: We’re truly committed to building a culture where diversity is celebrated and everyone feels welcome. So come as you are.

Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer ample time away from work to promote overall well-being.

Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

Apply Digital is committed to building a culture where differences are celebrated and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.

For more information, visit the Diversity, Equity, and Inclusion (DEI) section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by emailing us at [email protected].