About Skypoint
Skypoint’s AI platform (AIP) enables customers in regulated industries like healthcare, public sector, and financial services to:
· Unify data from various siloed and disparate sources to AI-ready data lakehouses.
· Deploy industry-specific compound AI systems that leverage optimized open-source LLMs and dedicated GPU compute capacity.
· Leverage AI-powered analytics, applications, copilots, and agents to boost productivity and operational efficiency.
Skypoint was founded in 2020 in Portland, Oregon. We now have over 75 employees and 125 customers.
Skypoint ranked #26 in Deloitte's Fast 500 (the 500 fastest-growing tech companies in the US and Canada for 2024), with an impressive 7,114% revenue growth over the past three years. Additionally, we were honored with the Portland Business Journal's Healthcare Innovation Award for 2024!
Job Overview:
As a Senior Data Engineer, you will play a critical role in maximizing the value of data within our platform, which processes billions of rows every month for millions of users. This is an opportunity to work on cutting-edge data infrastructure and drive innovation at scale. This opportunity comes with onsite visit options.
Key Responsibilities
50% – Building and scaling the Skypoint Lakehouse and data pipelines.
20% – Defining and implementing DataOps methodologies.
20% – Writing and optimizing queries and algorithms for performance.
10% – Supporting and monitoring data pipelines.
Our team values collaboration, continuous learning, and mastery of the craft. We prioritize asynchronous communication and provide strong leadership support when challenges arise.
What We Look for in a Senior Data Engineer
- Self-driven professionals who take initiative, stay updated on industry trends, and seek continuous improvement.
- Strong expertise in Databricks-related technologies across Azure, AWS, or GCP.
- Proficiency in Python or Scala with a solid software engineering background.
- Experience working with Spark (Databricks), Delta Lakehouse, Delta Live Tables, and Unity Catalog.
Required Skills & Experience
- 5+ years of industry experience in data engineering.
- Proficiency in Spark (Scala or Python) and Databricks.
- Strong backend programming skills with knowledge of scalability, clustering, microservices, and multi-threaded development.
- Experience with workflow orchestration tools (Databricks DLT, ADF, Azure Synapse, Airflow, etc.).
- Strong understanding of distributed systems and REST APIs.
- Hands-on experience with NoSQL databases.
- Recent experience working with Scala or Python and Spark (Databricks).
Educational Qualifications
BS / BE / MS in Computer Science from a top-tier institution (IITs, RECs, etc.).
Why Join Us?
- Work with a fast-growing US-based healthcare SaaS start-up on Azure cloud.
- Competitive compensation package, including equity and performance-based bonuses.
- Industry certifications and continuous learning opportunities.
- Flexible work hours.
- Team-building activities, awards, and recognition programs.
- Meal cards, incentives, and employee rewards.
Life at Skypoint
Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.
We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.
If you are passionate about building scalable data solutions and eager to thrive in an innovative, high-growth environment, we want to hear from you! Candidates with a valid B1 US visa are highly preferred—let’s connect!
