
Data Engineer
3 semanas atrás
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.
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.
- 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).
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)
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
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesIT Services and IT Consulting
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