Hiring Location: Hybrid, Menlo Park, CA
About Bluesky:
Bluesky is a platform that helps organizations optimize costs and maximize returns on their Snowflake investment. Although Snowflake has made analytics accessible to many and enabled faster business decisions, it has also created inefficiencies at scale. Our platform offers budgeting and forecasting tools, workload optimization, query analysis, anomaly detection, and monitoring and alerting features that provide customers with deep visibility. With Bluesky, customers can expect 500X query improvements and 30% cost reductions, which makes it a no-brainer for any enterprise.
Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry. Our company has received funding from top-tier VCs, angels, and various thought leaders, including the founders of Cloudera and Qubole. We are committed to building a world-class team that will develop systems with a profound impact on how people use their data clouds.
We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds. As a crucial early team member, you'll play a significant role in making important architectural decisions that will shape our technology stack for years to come. You'll also have the chance to make an immediate impact on the big data stack at multiple well-known tech and non-tech companies who are our customers. Additionally, you'll receive generous equity compensation with significant growth potential.
Responsibilities:
Design and build highly-efficient and scalable ETL pipelines with Snowflake, Airbyte, dbt, and Prefect
Build models of Snowflake query execution for estimating optimal warehouse sizes
Analyze query patterns/profiles to recommend storage optimizations like table clustering keys
Identify recurring workloads vs one-off workloads through query pattern analysis
Recommend query optimizations by recognizing query types (e.g., suggesting making a query incremental if it's part of a dbt model)
Must Haves:
5+ years of software engineering with expertise in a data domain
Strong analytical skills with an understanding of query processing internals
Practical experience in data engineering, data warehousing or data science
Fluent in object-oriented programming and SQL optimization
Proven track record of leading large projects
Strong problem-solving skills and communication skills
Nice to Haves:
Hands on experience with Snowflake, DBT, Prefect or Airflow
Previous experience working in a startup environment
Research experience in data related field or databases
Pay Transparency
Compensation for this role consists of a base salary, stock options, and benefits.
Expected base salary range: $160,000 - $200,000 annually, determined by applicable qualifications such as level, education, and skills.
In addition, we offer top tier medical, dental, and vision insurance for you and your family, unlimited PTO, and a 401(k) plan.
Our Commitment To Diversity
Bluesky provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.