Sr. Data Engineer (Snowflake)

APPLY; Argentina; Híbrido; ARS 178.613.955 - 253.036.437; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work

Generous vacation

AI upskilling

Inclusive culture

Descripción de la vacante

APPLY is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data architectures. You will optimize ETL/ELT processes, collaborate with engineers to integrate pipelines into cloud-native apps, and drive data governance and security across platforms.

Ideal candidates have 5+ years in data engineering, strong Snowflake experience, and proficiency in SQL and Python, with experience in dbt and orchestration tools.

Formación

• 5+ years of experience in data engineering for cloud-based data platforms.
• Strong Snowflake performance tuning, security, and data modeling knowledge.
• Advanced SQL for analytics engineering and data transformation.
• Proficiency with Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiarity with orchestration tools like Dagster or Apache Airflow.
• Experience enabling ML/AI use cases on data platforms.
• Solid understanding of data privacy, governance, and compliance.

Responsabilidades

• Design, build, and maintain scalable data pipelines and architectures for analytical and operational workloads.
• Develop and optimize ETL/ELT pipelines from diverse sources.
• Collaborate with backend/platform engineers to integrate pipelines into cloud-native apps.
• Manage and optimize cloud data warehouses (BigQuery focus noted) for performance and cost efficiency.
• Implement data governance, security, and privacy best practices.
• Collaborate with analytics teams to define data models and enable self-service BI capabilities.
• Maintain data documentation, lineage, and metadata management.
• Monitor, troubleshoot, and optimize data pipelines for high availability.

Conocimientos

Snowflake

SQL

Python

dbt

Airflow/Dagster

ML/AI data workflows

Data governance

Cloud data platforms

Herramientas

Snowpark

Databricks

Descripción del empleo

About Apply

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com .

About Apply

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com .

LOCATION:

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

WHAT YOU’LL DO:

• Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
• Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
• Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
• Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
• Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
• Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
• Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
• Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
• Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

WHAT WE’RE LOOKING FOR:

• Certified Snowpro
• Experience collaborating with distributed teams across North America and Latin America.
• 5+ years of experience in data engineering, building modern cloud-based data platforms.
• Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.
• Advanced SQL skills for analytics engineering and data transformation.
• Proficiency in Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiarity with orchestration tools such as Dagster or Apache Airflow.
• Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.
• Solid understanding of data privacy, governance, and compliance best practices.
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset.
• Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
• Excellent English communication and collaboration skills.

NICE TO HAVES:

• Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.
• Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).
• Experience with Databricks or hybrid Snowflake + Databricks architectures.
• Exposure to real-time or near-real-time data pipelines.
• Experience with BI tools (e.g., Looker, Tableau, Power BI).
• Infrastructure as Code experience (e.g., Terraform) in data environments.
• Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).

LIFE AT APPLY

Here are a few benefits we offer to support you:

• Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.
• An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
• AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.
• 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.
• Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.