• Architecting and implementing scalable data solutions, including data warehouses and data lakes
• Designing and developing ETL pipelines and data integration processes
• Implementing machine learning models and integrating them into production systems
• Leading engineering efforts and taking ownership of multiple larger project features, modules, or services
• Working with unstructured and semi-structured data to find patterns and groups
• Providing technical leadership for a team with limited guidance from leadership
• Interfacing with product, design, and leadership teams to align data solutions with business objectives
• Ensuring data quality, security, and compliance with industry standards and regulations
• Writing efficient, maintainable, and well-documented code
• Conducting code reviews and mentoring other engineers
• Scoping and estimating technical requirements for data-driven projects

I have experience with...

• ETL and data automation technologies (dbt, airflow, dagster, pandas)
• Cloud-based data solutions (AWS, Azure, or GCP)
• Data warehousing solutions (Snowflake, Redshift, BigQuery)
• SQL and NoSQL databases (PostgreSQL, MongoDB, Athena)
• Programming languages such as Python or Node (bonus: Go or Rust)
• Data visualization tools (Jupiter Notebooks)Version control systems (Git) and CI/CD pipelines
• Agile development methodologies
• Containerization and orchestration (e.g., Docker, Kubernetes)

Bonus territory:

• Experience with real-time data streaming (Kafka, Flink)
  
• Familiarity with graph databases (Neo4j)
• Accelerated computing (cuda, rapids, dask)
• Familiarity with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with vector databases and embeddings (Pinecone, pg_vector)
• Knowledge of data governance and data lake management
• Experience with MLOps and automated machine learning pipelines
• Proficiency in frontend technologies for building data-driven web applications
• This position requires at least 8 years experience, preferably in a product company or agency environment

This position requires at least 8 years of experience in data engineering and software development, preferably in a product company or agency environment.

Base Salary: Ranges from $130,000 - $170,000 per year, based on experience and qualifications.

Applications: Applications will be accepted through August 23, 2024.

Benefits

A little bit about Mondo Robot Engineering...

We are a team of engineers focused on developing applications that fulfill the product visions of our clients. The apps are built with Rails or React for the web, and React Native, iOS, or Android for mobile. We work agile, our code is test-driven, our integration processes are continuous and we deploy to AWS or VS App Center.

You'll be joining a team of well-rounded individuals that includes avid cyclists, a coffee roaster, an ultra runner, a ski racer, and a bunch of other really nice folks.