Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América

Logoslabs; San Francisco (CA); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

Flexible working hours

Remote work

Education & certification support

Conference & training budget

Job summary

Bluelight, a leading software consultancy, is seeking a Data Engineer to design and optimize scalable ETL/ELT pipelines using Snowflake, PySpark, and Azure cloud services. You will build robust ingestion workflows and collaborate with data architects to model enterprise data solutions.

Ideal candidates bring strong SQL skills, dimensional modeling experience, and a passion for data governance, security, and performance optimization in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent professional experience in CS/IT/Data Engineering.
• Proven experience building end-to-end data pipelines from REST APIs, databases, cloud storage, and flat files.
• Hands-on Snowflake experience with warehouses, streams, tasks, stages, Snowpipe, data sharing, performance optimization.
• Advanced SQL development for complex queries and large-scale workloads.
• Experience with dimensional modeling (star schemas, facts, dimensions).
• Familiarity with cloud data ecosystems, particularly Microsoft Azure, and CI/CD pipelines.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native tech.
• Build reliable data ingestion, transformation, and loading processes.
• Design and optimize Snowflake data platforms and warehousing solutions.
• Manage Snowflake objects and leverage virtual warehouses, data sharing, and time travel.
• Collaborate with architects and stakeholders to model logical and physical data schemas.
• Monitor pipelines, optimize SQL queries, and uphold data governance and security.

Skills

Snowflake

SQL

Python/PySpark

Data modeling

Cloud & DevOps

Power BI

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory

Azure Data Lake Storage

Git & Azure DevOps

Snowflake UI/WAREHOUSE

Job description

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

What we are looking for

• Education & Experience

• Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent professional experience).

• Core Experience: Proven experience developing end-to-end data pipelines extracting/transforming/loading data from REST APIs, relational databases, cloud storage, and flat files.

• Snowflake Proficiency: Demonstrated hands‑on experience with virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.

• SQL: Advanced SQL development skills with the ability to write complex queries, tune performance, and optimize large‑scale workloads.

• Data Modeling: Experience with dimensional modeling techniques (star schemas, fact tables, dimension tables).

• Cloud & DevOps:

• Familiarity with cloud‑based data ecosystems, particularly Microsoft Azure.

• Managing source code and CI/CD pipelines using Git and Azure DevOps (or similar).

• Soft Skills & Practices:

• Strong analytical, problem‑solving, and detail‑oriented mindset.

• Excellent verbal and written communication skills; ability to collaborate in a fast‑paced environment with evolving priorities.

• Knowledge of data integration best practices, data governance, and enterprise data management.

• Preferred / Nice‑to‑Have

• Certifications: SnowPro, Azure Data Engineer Associate, or equivalent cloud data platform certifications.

• Advanced Tech: Big data technologies, machine learning, data science platforms, or advanced analytics.

• BI Tools: Power BI, Tableau, or similar visualization platforms.

• Methodologies: Agile delivery frameworks and DevOps practices.

• Preferred Tech Stack Summary

• Core: Snowflake, Python/PySpark, SQL

• Cloud & Orchestration: Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Key Vault

• DevOps & Infrastructure: Git, Azure DevOps, CI/CD, Infrastructure as Code (Terraform preferred)

• Integration & Analytics: REST APIs, Power BI

Responsibilities

• Data Engineering & ETL Development

• Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud‑native technologies.

• Build reliable, efficient, and reusable data ingestion, transformation, and loading processes.

• Snowflake Data Platform & Warehousing

• Utilize Snowflake’s architecture to design, build, and optimize modern cloud data solutions.

• Implement and manage Snowflake objects (databases, schemas, tables, views, streams, tasks, stages, stored procedures).

• Leverage virtual warehouses, data sharing, time travel, and automated scaling to balance performance and cost efficiency.

• Apply dimensional modeling (star schemas, facts, dimensions) to build scalable enterprise data warehouses.

• Data Integration & Modeling

• Extract and ingest structured and semi‑structured data from REST APIs, relational databases, SaaS apps, flat files, and cloud storage.

• Develop robust ingestion frameworks.

• Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals.

• Cloud Architecture & Standards

• Contribute to modern data platform concepts (data lakes, lakehouses, data mesh architectures, enterprise data catalogs).

• Support integration between Snowflake and cloud‑native services (primarily Azure).

• Establish and enforce data engineering standards and best practices.

• Quality, Governance & Security

• Implement automated data quality controls, validation frameworks, and monitoring processes.

• Support data governance initiatives and maintain adherence to organizational standards.

• Ensure data security, privacy, and regulatory compliance (access controls, masking policies, industry best practices).

• Optimization, Operations & Maintenance

• Monitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs.

• Analyze warehouse utilization and recommend performance and cost‑efficiency improvements.

• Monitor pipelines, diagnose performance issues, and implement long‑term solutions; support production environments and incident resolution.

• Maintain comprehensive documentation for pipelines, flows, transformations, data models, and operational processes.

• Collaboration

• Partner with cross‑functional teams (data architects, data scientists, analysts, business stakeholders) to understand requirements and provide technical expertise.

Company Benefits

• Competitive salary and bonuses, including performance‑based salary increases.

• Generous paid‑time‑off policy

• Flexible working hours

• Work remotely

• Continuing education, training, conferences

• Company‑sponsored coursework, exams, and certifications

Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.

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