Senior Data Engineer at Scale AI
San Francisco, CA
About the Job
As a Senior Data Engineer at Scale, you will spearhead building the company's analytical and business-intelligence infrastructure
Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth
You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration
You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.You will:Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracyContinually improve ongoing data pipelines and simplify self-service support for business stakeholdersPerform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metricsIdeally You’d Have:6+ years of relevant work experience in a role requiring application of data modeling and analytic skillsAbility to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and PythonExperience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights. Partner with operations and sales teams to automate manual workflowsExperience in using highly scalable data engineering technologies such as DagsterExperience in best practices for table storage and query optimization in Snowflake.Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority
Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles
If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.Compensation packages at Scale for eligible roles include base salary, equity, and benefits
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training
Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval
Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant
You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of San Francisco is:$172,000—$206,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time
Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI
Our products power the world's most advanced LLMs, generative models, and computer vision models
We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S
Army and U.S
Air Force, and enterprises including GM and Accenture
We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities
If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at
Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates
We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws
Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data
Please see our privacy policy for additional information.
Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth
You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration
You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.You will:Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracyContinually improve ongoing data pipelines and simplify self-service support for business stakeholdersPerform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metricsIdeally You’d Have:6+ years of relevant work experience in a role requiring application of data modeling and analytic skillsAbility to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and PythonExperience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights. Partner with operations and sales teams to automate manual workflowsExperience in using highly scalable data engineering technologies such as DagsterExperience in best practices for table storage and query optimization in Snowflake.Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority
Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles
If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight.Compensation packages at Scale for eligible roles include base salary, equity, and benefits
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training
Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval
Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant
You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of San Francisco is:$172,000—$206,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time
Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI
Our products power the world's most advanced LLMs, generative models, and computer vision models
We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S
Army and U.S
Air Force, and enterprises including GM and Accenture
We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities
If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at
accommodations@scale.com
Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates
We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws
Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data
Please see our privacy policy for additional information.
