
11 - 50 employees
Founded 2020
💼 Consulting
📣 Marketing
👥 HR Tech
Consulting • Marketing • HR Tech
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
Likely ghost job
🕒 July 20
Where this job comes from
Posted on Resilient Co.'s careers page, not through a job board
First seen by Remote Rocketship July 20

11 - 50 employees
Founded 2020
💼 Consulting
📣 Marketing
👥 HR Tech
Consulting • Marketing • HR Tech
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
• Design AWS data engineering components including Lambda, S3, and database integrations • Build and operate data pipelines integrating AWS systems with Snowflake • Implement Snowflake features, including Cortex, Cortex Code, and AI functions • Own the design and implementation of data marts, data warehouses, and data lakes • Develop data models and define end-to-end data integration process flows • Produce initial architecture drafts independently for architecture-team review • Collaborate with architects and stakeholders to refine designs and align with project goals • Deliver senior-level data engineering solutions and hand them off to operational teams
• 6–9 years of hands-on experience in data engineering • Hands-on experience with AWS Lambda • Hands-on experience with AWS S3 • Hands-on experience with databases and related AWS services • Hands-on experience with Snowflake, including Snowflake AI components (Cortex, Cortex Code, AI functions) • Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow • Proven ability to produce initial architecture drafts independently for architectural review • Senior-level data engineering experience, not application/app development • Availability aligned with CST time zone • Participation in the client selection and vetting process
• Engagement length: 6 months or less • Client holidays
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🕒 May 8
Data engineer needed for building robust data pipelines using dbt, Snowflake, and Airflow for analytics support in LATAM.