Data Engineer

3 semanas atrás


Brasil Launchpad Technologies Inc. Tempo inteiro

Join to apply for the Data Engineer role at Launchpad Technologies Inc.

Join to apply for the Data Engineer role at Launchpad Technologies Inc.

Senior Data Engineer – Scalable Pipelines for AI Agent Infrastructure

We're looking for a Senior Data Engineer to design, build, and maintain the data foundation behind our next-generation AI agent platform. You'll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures.

If you're passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.

Start date: ASAP

Contract type: Contractor - Indefinite

Work hours: Monday to Friday, 7.30 am to 4.30 pm PST - 100% Remote

What You'll Be Doing

  • Build scalable ETL/ELT pipelines to support AI agent training and inference.
  • Integrate data from diverse sources (APIs, databases, real-time streams).
  • Design high-performance data models using PostgreSQL and Snowflake.
  • Optimize SQL queries for large datasets and data warehouse workloads.
  • Implement data validation, cleansing, and monitoring workflows.
  • Automate data engineering tasks and contribute to CI/CD pipelines.
  • Collaborate with AI/ML engineers and product teams to align data with business needs.
  • Document processes, pipelines, and infrastructure decisions clearly.

What You Need to Succeed

Must-haves
  • 5+ years of experience in Data Engineering or Data Infrastructure roles.
  • Strong command of:
    • ETL frameworks: Airflow, DBT, Spark
    • Databases: PostgreSQL, Snowflake
    • Cloud & DevOps: AWS (S3, EC2), Linux, Docker
    • CI/CD: GitHub, Jenkins or similar
    • Programming: Python (data-focused scripting)
  • Deep knowledge of SQL performance tuning, data warehousing, and data quality practices.
  • Experience with data security and managing large-scale database environments.
  • Comfortable working in cross-functional teams and agile environments.

Nice-to-haves
  • Experience with AWS RDS, MWAA, Lambda.
  • Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines.
  • Exposure to prompt engineering, LLM workflows, or AI/ML data operations.
  • Data Engineering certification (GCP, AWS, or equivalent).

Our Recruitment Process

Here's what to expect from our candidate-friendly interview process:
  • Initial Interview – 60 minutes with our Talent Acquisition Specialist
  • Culture Fit – 30 minutes with our Team Engagement Manager
  • Technical Assessment - Python Coding + Multiple Choice questions
  • Final Stage – 60 minutes with the Hiring Manager (Technical Interview)

Why Join Launchpad?

We believe that great work starts with great people. At Launchpad, we offer:
  • Fully remote work with hardware provided
  • Global team experience with clients in [regions]
  • Competitive USD compensation
  • Training and learning stipends
  • Paid Time Off (vacation, personal, study)
  • A culture that values autonomy, purpose, and human connection

Join us and help shape the future of intelligent systems—one data pipeline at a time.Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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