[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. Cimpress is a company that focuses on building customer-oriented mass customization businesses, generating significant revenue through personalized products. They are seeking a Senior Data Engineer to manage large data volumes, develop ETL/data pipelines, and leverage cloud technologies to enhance data processes.
Responsibilities
- 3+ years of experience handling large data volumes and orchestrating and monitoring automated Batch & Near Real-Time ETL/data pipelines using CI/CD and Cloud Technologies, with preferred expertise in DBT or DBT Cloud
- Strong programming skills in Python and SQL
- Solid experience with MPP Data Warehouse systems such as Snowflake or Amazon Redshift, along with cloud platforms including AWS (Preferred), Azure, or GCP
- Expertise in Data Modelling and Data Warehousing best practices, with a strong ability to adopt development best practices such as modularization, testing, and refactoring
- Experience with Business Intelligence and reporting tools such as Looker is an added advantage
- Hands-on experience with Machine Learning (ML) and MLOps practices, including model training, versioning, deployment, monitoring, and lifecycle management using tools like MLflow, SageMaker, or Vertex AI
- Ability to leverage AI tools in day-to-day data engineering tasks, such as using GitHub Copilot or Claude for code generation, debugging, query optimization, and pipeline development to improve productivity and efficiency
- Exposure to Generative AI tools and frameworks (e.g., LangGraph, LangChain, OpenAI APIs)
- Curiosity to explore and implement evolving data engineering and Generative AI technologies
- Understanding of modern practices like DataOps, MLOps or equivalent experience
- Strong problem-solving skills with a solid understanding of data structures, algorithms, and the ability to thrive in ambiguous environments with minimal oversight
Skills
- 3+ years of experience handling large data volumes and orchestrating and monitoring automated Batch & Near Real-Time ETL/data pipelines using CI/CD and Cloud Technologies, with preferred expertise in DBT or DBT Cloud
- Strong programming skills in Python and SQL
- Solid experience with MPP Data Warehouse systems such as Snowflake or Amazon Redshift, along with cloud platforms including AWS (Preferred), Azure, or GCP
- Expertise in Data Modelling and Data Warehousing best practices, with a strong ability to adopt development best practices such as modularization, testing, and refactoring
- Experience with Business Intelligence and reporting tools such as Looker is an added advantage
- Hands-on experience with Machine Learning (ML) and MLOps practices, including model training, versioning, deployment, monitoring, and lifecycle management using tools like MLflow, SageMaker, or Vertex AI
- Ability to leverage AI tools in day-to-day data engineering tasks, such as using GitHub Copilot or Claude for code generation, debugging, query optimization, and pipeline development to improve productivity and efficiency
- Exposure to Generative AI tools and frameworks (e.g., LangGraph, LangChain, OpenAI APIs)
- Curiosity to explore and implement evolving data engineering and Generative AI technologies
- Understanding of modern practices like DataOps, MLOps or equivalent experience
- Strong problem-solving skills with a solid understanding of data structures, algorithms, and the ability to thrive in ambiguous environments with minimal oversight
Benefits
- We strive to give you everything you need to learn, grow, and succeed.
- Through innovation, collaboration, and perpetual exposure to what’s next, we’re always pushing boundaries and broadening our horizons.
- We embrace the chance to operate outside of our comfort zone to discover what we’re capable of.
- Cimpress, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations.
- In 2020, Cimpress adopted a Remote-First operating model and culture.
- Having the freedom, autonomy and trust in each other to work from home and, the ability to operate when they are most productive, empowers them to be their best.
- Vista also provides collaboration spaces for team members to work physically together when it's safe to do so and when in-person collaboration will deliver the best results.
- Currently we are enabled to hire remote team members in over 30 US States as well as several countries in Europe, including Spain, Germany, UK, Czech Republic, the Netherlands and Switzerland.
Company Overview
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