Data Engineer, Enterprise Partnerships
March 27, 2020 8:05 AM
This is a direct hire to my team, which is the client-facing arm of Superconductive. We're a really great company - a distributed team of kind, smart, interesting people who treat each other like human beings. Full job description is below - feel free to reach out with questions!
Our mission
Superconductive’s mission is to revolutionize the speed and integrity of data collaboration. We are the team behind Great Expectations, the leading open source tool for defeating pipeline debt through data testing, documentation, and profiling. Data teams all over the world use Great Expectations to boost the confidence, integrity, and speed of their work.
About the role
As a Data Engineer on Superconductive’s Enterprise Partnerships team, you will directly contribute to the success of our partnerships with enterprise clients. You will be responsible for owning the end-to-end process of designing, building, and deploying data pipelines, using Great Expectations for data validation and testing. As part of this, you will be exposed to a wide variety of clients, industries, and types of data infrastructure.
You will be expected to:
Develop a deep understanding of client needs and goals, as well as their existing data infrastructure
Design, build, and deploy different pieces of data pipeline infrastructure, such as tools for ETL, data warehousing, and workflow orchestration
Train our clients in best practices for building, maintaining, and validating their data pipelines
Synthesize learnings from client work and identify high value product improvements to feed back into Great Expectations
As part of Superconductive, you will also have opportunities to evangelize Great Expectations through conference talks, workshops, and blog posts, if you choose to do so.
Why join Superconductive?
Glad you asked!
We offer…
A world class team, with deep roots in open source, cutting-edge software and data development. We are actively cultivating a new cultural blend of excellent data engineering and AI-enabled technical workflows.
A fast-growing company with lots of opportunity for learning and personal growth.
A front-row seat to the rapid evolution of data science and engineering. Data work is going through a renaissance, and—as the leading provider of a key piece in the new technology ecosystem—Superconductive is right in the middle of it.
A kind, curious, and open-minded company culture. We are always seeking ways to improve ourselves and our processes; we keep these conversations open to the whole team. We prioritize empowering our team members rather than a command and control hierarchy.
A distributed team with lots of flexibility around timing and individual work preferences. We currently have teammates in the San Francisco Bay Area, Salt Lake City, New York, Michigan, North Carolina, and other places. We’d love to add your town.
And of course, competitive compensation (base salary + equity package) with available Medical, Dental, Vision & 401K.
Job requirements
Minimum two years of work experience as a data engineer or in a role with responsibilities including:
Design, implementation, and maintenance/management of data pipelines
Implementation and management of SQL databases
Proficiency in SQL and Python
Proficiency in engineering tools and best practices, such as version control and testing
Experience with data analytics and relevant tooling (e.g. Python data stack, R)
An excitement for interacting with clients and digging deep into new (to you) technologies and domains
Strong candidates for this role will most likely come from backgrounds in either data engineering or data science. We are looking for people with substantial experience building data pipelines, or experience developing software with a close affinity to data and analytics.
Great engineering is more than just technical proficiency. Our team is set up to support and build the following cultural skills. We don’t expect black-belt virtuosity. We do expect everyone to bring good ideas and habits, so that they can contribute to a collective culture of best practices.
Have data in your blood - the more curiosity you have about a wide variety of data from all walks of life, the better.
Communicate well—in writing, in person, and on Slack.
Be good at time management (e.g. estimating timelines, prioritizing tasks, avoiding rabbit holes, speaking up when you need help).
Possess keen antennae for the lived experience of technical work. We constantly seek out opportunities for delightful refactors to tools, workflows, and collaboration, gathering ideas from all team members.
Commit to a culture of transparency, cooperation, and mutual support in an entirely distributed team.
Play nice with others. Assholes need not apply.
Nice to haves
Experience in a client-facing role, e.g. sales engineering, implementations, forward deployed engineering
Project management experience
Experience with domain-specific data in multiple industries (e.g. healthcare, ad-tech, e-commerce)
Advanced skills in data analytics, statistics, or machine learning
Devops and data infrastructure skills are a plus (e.g. workflow orchestration tools, containerization)
Experience with software engineering, and possibly contributions to open source projects
Superconductive Health, Inc. is an Equal Opportunity Employer. In compliance with Federal law and the Federal Acquisition Regulation (FAR) 22.1800, the selected candidate will be required to provide documentation that will verify their identity and eligibility to work in the United States.
payscale: DOE
job type: full-time
Our mission
Superconductive’s mission is to revolutionize the speed and integrity of data collaboration. We are the team behind Great Expectations, the leading open source tool for defeating pipeline debt through data testing, documentation, and profiling. Data teams all over the world use Great Expectations to boost the confidence, integrity, and speed of their work.
About the role
As a Data Engineer on Superconductive’s Enterprise Partnerships team, you will directly contribute to the success of our partnerships with enterprise clients. You will be responsible for owning the end-to-end process of designing, building, and deploying data pipelines, using Great Expectations for data validation and testing. As part of this, you will be exposed to a wide variety of clients, industries, and types of data infrastructure.
You will be expected to:
Develop a deep understanding of client needs and goals, as well as their existing data infrastructure
Design, build, and deploy different pieces of data pipeline infrastructure, such as tools for ETL, data warehousing, and workflow orchestration
Train our clients in best practices for building, maintaining, and validating their data pipelines
Synthesize learnings from client work and identify high value product improvements to feed back into Great Expectations
As part of Superconductive, you will also have opportunities to evangelize Great Expectations through conference talks, workshops, and blog posts, if you choose to do so.
Why join Superconductive?
Glad you asked!
We offer…
A world class team, with deep roots in open source, cutting-edge software and data development. We are actively cultivating a new cultural blend of excellent data engineering and AI-enabled technical workflows.
A fast-growing company with lots of opportunity for learning and personal growth.
A front-row seat to the rapid evolution of data science and engineering. Data work is going through a renaissance, and—as the leading provider of a key piece in the new technology ecosystem—Superconductive is right in the middle of it.
A kind, curious, and open-minded company culture. We are always seeking ways to improve ourselves and our processes; we keep these conversations open to the whole team. We prioritize empowering our team members rather than a command and control hierarchy.
A distributed team with lots of flexibility around timing and individual work preferences. We currently have teammates in the San Francisco Bay Area, Salt Lake City, New York, Michigan, North Carolina, and other places. We’d love to add your town.
And of course, competitive compensation (base salary + equity package) with available Medical, Dental, Vision & 401K.
Job requirements
Minimum two years of work experience as a data engineer or in a role with responsibilities including:
Design, implementation, and maintenance/management of data pipelines
Implementation and management of SQL databases
Proficiency in SQL and Python
Proficiency in engineering tools and best practices, such as version control and testing
Experience with data analytics and relevant tooling (e.g. Python data stack, R)
An excitement for interacting with clients and digging deep into new (to you) technologies and domains
Strong candidates for this role will most likely come from backgrounds in either data engineering or data science. We are looking for people with substantial experience building data pipelines, or experience developing software with a close affinity to data and analytics.
Great engineering is more than just technical proficiency. Our team is set up to support and build the following cultural skills. We don’t expect black-belt virtuosity. We do expect everyone to bring good ideas and habits, so that they can contribute to a collective culture of best practices.
Have data in your blood - the more curiosity you have about a wide variety of data from all walks of life, the better.
Communicate well—in writing, in person, and on Slack.
Be good at time management (e.g. estimating timelines, prioritizing tasks, avoiding rabbit holes, speaking up when you need help).
Possess keen antennae for the lived experience of technical work. We constantly seek out opportunities for delightful refactors to tools, workflows, and collaboration, gathering ideas from all team members.
Commit to a culture of transparency, cooperation, and mutual support in an entirely distributed team.
Play nice with others. Assholes need not apply.
Nice to haves
Experience in a client-facing role, e.g. sales engineering, implementations, forward deployed engineering
Project management experience
Experience with domain-specific data in multiple industries (e.g. healthcare, ad-tech, e-commerce)
Advanced skills in data analytics, statistics, or machine learning
Devops and data infrastructure skills are a plus (e.g. workflow orchestration tools, containerization)
Experience with software engineering, and possibly contributions to open source projects
Superconductive Health, Inc. is an Equal Opportunity Employer. In compliance with Federal law and the Federal Acquisition Regulation (FAR) 22.1800, the selected candidate will be required to provide documentation that will verify their identity and eligibility to work in the United States.
payscale: DOE
job type: full-time
This job has been filled.