Offer summary

Qualifications:

Proven experience with Databricks and Spark compute., Proficient in Python, including object-oriented programming and API development., Familiarity with NoSQL databases, preferably MongoDB., Strong problem-solving skills and experience with large-scale data processing..

Key responsabilities:

Develop, manage, and optimize data pipelines on the Databricks platform.

Write clean and efficient Python code and design APIs for data integration.

Integrate and manage data within MongoDB, ensuring efficient storage and retrieval.

Collaborate with data scientists and analysts to understand data needs and deliver solutions.

Job description

Our story

We’re a fast growing, Series A stage healthare AI company building a clinical operating system for MSK practices. We are revenue generating and are looking to carefully expand the team to help us scale to 1,000,000 patients and beyond!

The team is headquartered in NYC with a satellite office in Vancouver, BC. Much of our engineering team is remote - distributed throughout the US and Canada.

We live in Notion docs, Slack channels and Github with weekly meetings over Zoom. Meetings may feature honorary advisors, MedTech execs, and, if we’re lucky, Will’s cat or our Chief Pup Officer.

As Flagler continues to grow, there is a unique opportunity to build the foundations of data and infrastructure to help the product and company reach our full potential. This is where you come in — to design and build reliable, trusted, and timely analytics that accelerate the decision-making process of key product and business functions. You will have a strong impact on the roadmap and growth trajectory of our company.

Key Responsibilities

Databricks Platform Expertise
• Develop, manage, and optimize data pipelines on the Databricks platform.
• Debug and troubleshoot Spark applications to ensure reliability and performance.
• Implement best practices for Spark compute and optimize workloads.
• Python Development:
• Write clean, efficient, and reusable Python code using object-oriented programming principles.
• Design and build APIs to support data integration and application needs.
• Develop scripts and tools to automate data processing and workflows.

MongoDB Management
• Integrate, query, and manage data within MongoDB.
• Ensure efficient storage and retrieval processes tailored to application requirements.
• Optimize MongoDB performance for large-scale data handling.
• Collaboration and Problem Solving:
• Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Proactively identify and address technical challenges related to data processing and system design.

Required Qualifications
• Proven experience working with Databricks and Spark compute.
• Proficient in Python, including object-oriented programming and API development.
• Familiarity with NoSQL (MongoDB preferred), including querying, data modeling, and optimization.
• Strong problem-solving skills and ability to debug and optimize data processing tasks.
• Experience with large-scale data processing and distributed systems.

Preferred Qualifications
• Strong understanding of data architecture, ETL processes, and data warehousing concepts.
• Knowledge of other big data technologies like Delta Lake, Hadoop, or Kafka.
• Experience with cloud platforms (e.g., AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines and version control systems like Git.

Our values

We spend at least as much time with our co-workers as we do with our closest friends + family; if we intend to do the most important and challenging work of our lives, it’s important that these folks energize us, support us, inspire us, and push us to do our best work.

This is what you can expect of your teammates at Flagler:

Persistence + ownership of outcomes: We wear many hats and aren’t afraid to run through walls to solve hard problems.
Personal + professional growth: We push ourselves to learn new things and embrace challenges, even if it means that we sometimes fail.
Don’t take things personally: We value and react quickly to constructive feedback.
Speed is our ally: In the fast-paced world of startups, we understand the value of moving swiftly. We thrive on the adrenaline of working rapidly.
Be Right: We are highly detailed oriented and try to be right, a lot.

Hiring Process

Due to the high volume of applications, we only reach out to candidates selected for interviews. We do not have online leetcode assessments as an initial filter, so we only reach out to very few candidates for initial introduction.