#5 Senior Data Engineer- Costa Rica, LATAM

BlueCloud; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

BlueCloud is looking for a Senior Data Engineer to design and own data solutions primarily using Snowflake. In this senior-level role, you will lead the architecture of scalable data pipelines, establish robust data models, and enforce security standards.

The ideal candidate has 5+ years of experience, deep Snowflake expertise, and solid SQL and Python knowledge. Join our team to enhance data quality and governance while working with cloud platforms like AWS, Azure, or GCP.

Qualifications

• 5+ years of hands-on experience in data engineering.
• Proven expertise with Snowflake, including performance optimization.
• Strong knowledge of SQL and at least one scripting language, preferably Python.

Responsibilities

• Design, build, and own scalable data pipelines using SQL and Python.
• Own the design and optimization of Snowflake environments.
• Establish and enforce data governance frameworks.

Skills

Data engineering

SQL

Python

Snowflake

ELT/ETL pipelines

Cloud platforms (AWS, Azure, or GCP)

Tools

dbt

Airflow

Job description

Senior Data Engineer

This is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform.

Key Responsibilities

• Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools.
• Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
• Lead the development of data models using Dimensional Modeling, Data Vault, or Lakehouse approaches.
• Define and implement data transformation logic, data quality validations, and business rules.

Platform & Cloud Engineering

• Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning.
• Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions.
• Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools.

Governance & Security

• Establish and enforce data governance frameworks, access controls, and security protocols with particular focus on Snowflake-native capabilities such as row-level security, dynamic data masking, and data sharing.
• Define and maintain data quality standards, lineage documentation, and compliance requirements.

Requirements

• 5+ years of hands‑on experience in data engineering, with a strong professional track record in place of formal credentials.
• Proven, deep expertise with Snowflake— including performance optimisation, cost management, security features, and data architecture.
• Solid working knowledge of SQL and at least one scripting language, preferably Python.
• Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
• Familiarity with data modelling approaches such as Dimensional Modeling, Data Vault, or Lakehouse.
• Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context.

Nice to Have

• Hands‑on experience with dbt, Airflow, or dbt Cloud.
• Exposure to data governance frameworks and security best practices within cloud environments.
• Experience working in a consultancy or multi-client environment.

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.