Staff Software Engineer - Data Cloud

21 Minutes ago • 8 Years + • $180,000 PA - $315,000 PA
Data Analysis

Job Description

The Data Cloud team is building an end-to-end analytics and business intelligence system for customers, replacing the need for Data Lakes, Data Warehouses, and data pipelines. This includes systems for ingestion, transformation, lineage, data catalogs, and visualization. The company is uniquely positioned as the source of most data, enabling an all-encompassing solution. The role also explores using ML and LLMs for automated insight generation and conversational analytics experiences.
Good To Have:
  • Contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro)
Must Have:
  • Develop high-quality software with attention to detail using tech stacks like Python, Apache Trino, Iceberg, Temporal.
  • Create Data visualization and query processing products used at large scale.
  • Create data platforms, data lakes, and data ingestion systems that work at scale.
  • Have clear ownership of one or many products, APIs or platform spaces.
  • Build and grow engineering skills in different challenging areas and solve hard technical problems.
  • Influence architecture, technology selections, and trends of the whole company.
  • 8+ years of experience in software development, preferably in fast-paced, dynamic environments.
  • Solid understanding of CS fundamentals, architectures, and design patterns.
  • Proven track record in building large-scale applications, APIs, and developer tools.
  • Excellent at cross-functional collaboration, able to articulate technical concepts to non-technical partners.
  • Thrive in a product-focused environment and are passionate about making an impact on customer experience.
Perks:
  • Competitive salary
  • Benefits
  • Equity

Add these skills to join the top 1% applicants for this job

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About the Company

The company is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.

By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With the platform, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.

The company has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that official communication will only be sent from @company.com addresses.

About the Role:

The Data Cloud team is building an end-to-end analytics and business intelligence system for our customers and will replace their need for Data Lakes, Data Warehouses and data pipelines. We are building systems for ingestion, transformation, lineage, data catalogs and visualization. Most companies cobble together data pipelines from Fivetran, Airbyte, Airflow, DBT, Snowflake, DataBricks, Kafka and a host of other technologies. The company is in the unique position of being the source of the vast majority of this data, hence we can provide an all encompassing solution out of the box.

In addition, we are exploring the use of ML and LLMs to provide automated insight generation and conversational experiences to allow data consumers to have a virtual data scientist as their analytics copilot.

What You'll Do:

  • Develop high-quality software with attention to detail using tech stacks like Python, Apache Trino, Iceberg, Temporal.
  • Create Data visualization and query processing products used at large scale.
  • Create data platforms, data lakes, and data ingestion systems that work at scale
  • Have clear ownership of one or many products, APIs or platform spaces
  • Build and grow your engineering skills in different challenging areas and solve hard technical problems
  • Influence architecture, technology selections, and trends of the whole company

Qualifications:

  • 8+ years of experience in software development, preferably in fast-paced, dynamic environments.
  • Solid understanding of CS fundamentals, architectures, and design patterns.
  • Proven track record in building large-scale applications, APIs, and developer tools.
  • Excellent at cross-functional collaboration, able to articulate technical concepts to non-technical partners.
  • You thrive in a product-focused environment and are passionate about making an impact on customer experience.
  • Bonus Points: for contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro)

Additional Information

The company is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, The company is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com

The company highly values in-office collaboration. Employees living within 30 miles of an office are expected to work onsite three days a week with those living 30-49.9 miles away expected to be in the office one day a week. Employees living over 50 miles away are required to relocate within 30 miles of an office. To enhance team cohesiveness, new employees are asked to work onsite three days a week for their first six months.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

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