Data Engineer

📊 Senior Data Engineer – Scalable Pipelines for AI Agent InfrastructureWe’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 DoingBuild 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 SucceedMust-haves 5+ years of experience in Data Engineering or Data Infrastructure roles. Strong command of: ETL frameworks: Airflow, DBT, SparkDatabases: PostgreSQL, SnowflakeCloud & DevOps: AWS (S3, EC2), Linux, DockerCI/CD: GitHub, Jenkins or similarProgramming: 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-havesExperience 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 ProcessHere’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 questionsFinal 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.