Posted on 
Jul 23

Data Ops Engineer

Build the avant-garde. Bend the world towards progress.
Macro-Eyes is recruiting for a DataOps Engineer, this role is about collaborative data management practices focused on improving communication, integration and automation of data flow between data managers and data consumers across the organization.

The goal of the DataOps Engineer is to automate the organization’s processes: reduce waste, promote reuse, prevent “reinventing of the wheel.” Lower errors and mean time to failure. Promote version control. Highlight gaps and improve testing. Ensure data security standards are applied to pipelines. Make reports on every aspect of the data team’s processes and the data lifecycle.

Meaningful work is a luxury that we revel in, each day. At Macro-Eyes, we take on hard problems that bring the right kind of change to the world. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind. We believe in recruiting the best talent in the world, regardless of location. We are always on the lookout for exceptional colleagues. Radical innovation is at our core.

MACRO-EYES is an AI company. Our technology makes crucial systems predictive. Predictive systems are resilient. We have a mandate to deliver social impact, global presence with an international machine learning team led by MIT faculty. The Macro-Eyes team has built and shipped cutting-edge machine learning systems that run at large US health systems and on-device in the most challenging environments in the world. Macro-Eyes is a venture-backed company supported by Bill & Melinda Gates Foundation, leading impact investors, the Draper Richards Kaplan Foundation, and USAID, and has partnered with Stanford, UNICEF, the Governments of Tanzania, Sierra Leone, and Mozambique, and deployed our technology to assess the whole California health safety net in just six weeks. Accenture spotlighted Macro-Eyes product Sibyl as critical digital health technology of the future.

Macro-Eyes is working towards a future state in which the delivery of care is predictive everywhere; where supply chains that deliver essential goods anticipate need and predict demand down to the individual and ensure the right resource is used at the right time — personalizing care, increasing access, and making scarce resources serve more people in need. You will build the future.

Who we are:

The Macro-Eyes team is spread across Zambia, Kenya, Germany, Switzerland, South Africa and works from all corners and peninsulas of the United States. We believe in recruiting the best talent in the world, regardless of location — particularly now! This role will be remote with the freedom to choose how and when to work. Our remote team was executing at the highest level before COVID-19, and we expect to continue to be a fully remote, high-performing team. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind.

Competitive compensation and generous benefits.
Macro-Eyes is dedicated to building an inclusive workforce where diversity is valued. Macro-Eyes is an equal opportunity employer. Every qualified applicant will be considered for employment. Macro-Eyes does not discriminate based on race, color, religion, gender, gender identity or orientation, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

WHAT WE’LL ASK OF YOU:
- Take a task and run with it. There’s not a lot of hierarchy, and everybody organically occupies the space they’re given to get something done.
- Speak up. We all learn every day. We constantly figure out things we’ve never done before. Ask for help, say when you need something.
- Be forthcoming and accountable. About time, scope, questions, needs, options, deliverables.
- Be nice to work with. Nothing extraordinary was ever achieved alone.

WHAT YOU NEED TO BRING:
- A data-first mindset with a proven track record of delivering successful products.
- Comfortable working with a small team in a fast-paced, collaborative but unstructured environment.
- Experience working on dynamic cross-functional teams.
- Strong written and oral communication skills.
- Energy, boundless curiosity, open-mindedness.
- Care to do something right for the sake of doing it right.
- Willingness to learn and grow.
- Respect for audiences and users. Willingness to step into someone else’s shoes (and the imagination to do so).
- We’re excited if you also have these capabilities:
- Experience working with teams using Agile development processes.
- Prefer fluency in French and experience with international donor-funded projects.

WHY YOU WANT TO WORK WITH US:
- We develop technology and products that save lives and help organizations do more with fewer resources — and we break new ground in AI by creating systems that can learn in some of the most challenging environments on earth: real-world impact and state-of-the-art science.
- We are rapidly growing — globally — and engaged in many of the most important issues of our time. Being part of Macro-Eyes is rich in opportunity.
- You get the chance to shape the world, bend it towards progress!
- You get to work with an amazing group of people.
- You can work from almost anywhere, although less than 6 hours from EST tends to be optimal.
- This role will be remote with the freedom to choose how and when to work. Macro-Eyes was fully remote before COVID-19 and we expect to continue to be a fully remote team. US-based candidates are preferred. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind.

Warning: the work will not be like doing data science at Big Tech. The data will not be pristine and what’s required for success is much harder than throwing a series of models at the problem. We expect you to think in terms of hypotheses and experimental design like a scientist and have the drive and ingenuity of a hacker.

Your success will scale life-changing solutions for the world’s most vulnerable populations.

Responsibilities in this role include:
- Production orchestration - replace manual procedures that execute data operations with automated orchestrations and meta-orchestrations
- Production data monitoring/testing - create tests to catch errors before customers sees them, monitor production and development pipelines in real-time. Support the data landscape and development best practices. Provide ad hoc and system support to BI, analytics, and business applications
- Self-service environments - give the data team a way to create on-demand development sandboxes with data and toolchains aligned with production. Educate teams on the implementation of new cloud technologies and initiatives.
- Development regression and functional tests - automate development and deployment testing
- Test data automation - create test data for development on-demand
- Deployment automation - deploy with minimal keyboarding. Design, develop and deploy modular cloud-based systems.
- Shared components - standardize and reuse commonly used “nuggets” and pipelines and horizontal infrastructure
- Process measurement - construct dashboards on every aspect of the data lifecycle for unprecedented process transparency

Requirements:
- Bachelor degree in STEM field
- 2-3 years of experience in similar role
- DevOps Configuration Tool: Terraform, Puppet, Docker/K8s
- Programming languages, such as Python
- Agile methods & tools like JIRA
- SQL and noSQL
- Problem-solving skills
- Experience with CI/CD systems
- Familiarity with the toolchain data engineers, scientists, analysts and governance team use
- A methodical and logical approach
- The ability to plan work and meet deadlines
- Accuracy and attention to detail
- Written and verbal communication skills
- Ability to collaborate across teams

Disclaimer: Due to large volumes of applicants, only shortlisted candidates will be contacted.

Description

Build the avant-garde. Bend the world towards progress.
Macro-Eyes is recruiting for a DataOps Engineer, this role is about collaborative data management practices focused on improving communication, integration and automation of data flow between data managers and data consumers across the organization.

The goal of the DataOps Engineer is to automate the organization’s processes: reduce waste, promote reuse, prevent “reinventing of the wheel.” Lower errors and mean time to failure. Promote version control. Highlight gaps and improve testing. Ensure data security standards are applied to pipelines. Make reports on every aspect of the data team’s processes and the data lifecycle.

Meaningful work is a luxury that we revel in, each day. At Macro-Eyes, we take on hard problems that bring the right kind of change to the world. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind. We believe in recruiting the best talent in the world, regardless of location. We are always on the lookout for exceptional colleagues. Radical innovation is at our core.

MACRO-EYES is an AI company. Our technology makes crucial systems predictive. Predictive systems are resilient. We have a mandate to deliver social impact, global presence with an international machine learning team led by MIT faculty. The Macro-Eyes team has built and shipped cutting-edge machine learning systems that run at large US health systems and on-device in the most challenging environments in the world. Macro-Eyes is a venture-backed company supported by Bill & Melinda Gates Foundation, leading impact investors, the Draper Richards Kaplan Foundation, and USAID, and has partnered with Stanford, UNICEF, the Governments of Tanzania, Sierra Leone, and Mozambique, and deployed our technology to assess the whole California health safety net in just six weeks. Accenture spotlighted Macro-Eyes product Sibyl as critical digital health technology of the future.

Macro-Eyes is working towards a future state in which the delivery of care is predictive everywhere; where supply chains that deliver essential goods anticipate need and predict demand down to the individual and ensure the right resource is used at the right time — personalizing care, increasing access, and making scarce resources serve more people in need. You will build the future.

Who we are:

The Macro-Eyes team is spread across Zambia, Kenya, Germany, Switzerland, South Africa and works from all corners and peninsulas of the United States. We believe in recruiting the best talent in the world, regardless of location — particularly now! This role will be remote with the freedom to choose how and when to work. Our remote team was executing at the highest level before COVID-19, and we expect to continue to be a fully remote, high-performing team. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind.

Competitive compensation and generous benefits.
Macro-Eyes is dedicated to building an inclusive workforce where diversity is valued. Macro-Eyes is an equal opportunity employer. Every qualified applicant will be considered for employment. Macro-Eyes does not discriminate based on race, color, religion, gender, gender identity or orientation, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

WHAT WE’LL ASK OF YOU:
- Take a task and run with it. There’s not a lot of hierarchy, and everybody organically occupies the space they’re given to get something done.
- Speak up. We all learn every day. We constantly figure out things we’ve never done before. Ask for help, say when you need something.
- Be forthcoming and accountable. About time, scope, questions, needs, options, deliverables.
- Be nice to work with. Nothing extraordinary was ever achieved alone.

WHAT YOU NEED TO BRING:
- A data-first mindset with a proven track record of delivering successful products.
- Comfortable working with a small team in a fast-paced, collaborative but unstructured environment.
- Experience working on dynamic cross-functional teams.
- Strong written and oral communication skills.
- Energy, boundless curiosity, open-mindedness.
- Care to do something right for the sake of doing it right.
- Willingness to learn and grow.
- Respect for audiences and users. Willingness to step into someone else’s shoes (and the imagination to do so).
- We’re excited if you also have these capabilities:
- Experience working with teams using Agile development processes.
- Prefer fluency in French and experience with international donor-funded projects.

WHY YOU WANT TO WORK WITH US:
- We develop technology and products that save lives and help organizations do more with fewer resources — and we break new ground in AI by creating systems that can learn in some of the most challenging environments on earth: real-world impact and state-of-the-art science.
- We are rapidly growing — globally — and engaged in many of the most important issues of our time. Being part of Macro-Eyes is rich in opportunity.
- You get the chance to shape the world, bend it towards progress!
- You get to work with an amazing group of people.
- You can work from almost anywhere, although less than 6 hours from EST tends to be optimal.
- This role will be remote with the freedom to choose how and when to work. Macro-Eyes was fully remote before COVID-19 and we expect to continue to be a fully remote team. US-based candidates are preferred. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind.

Warning: the work will not be like doing data science at Big Tech. The data will not be pristine and what’s required for success is much harder than throwing a series of models at the problem. We expect you to think in terms of hypotheses and experimental design like a scientist and have the drive and ingenuity of a hacker.

Your success will scale life-changing solutions for the world’s most vulnerable populations.

Responsibilities in this role include:
- Production orchestration - replace manual procedures that execute data operations with automated orchestrations and meta-orchestrations
- Production data monitoring/testing - create tests to catch errors before customers sees them, monitor production and development pipelines in real-time. Support the data landscape and development best practices. Provide ad hoc and system support to BI, analytics, and business applications
- Self-service environments - give the data team a way to create on-demand development sandboxes with data and toolchains aligned with production. Educate teams on the implementation of new cloud technologies and initiatives.
- Development regression and functional tests - automate development and deployment testing
- Test data automation - create test data for development on-demand
- Deployment automation - deploy with minimal keyboarding. Design, develop and deploy modular cloud-based systems.
- Shared components - standardize and reuse commonly used “nuggets” and pipelines and horizontal infrastructure
- Process measurement - construct dashboards on every aspect of the data lifecycle for unprecedented process transparency

Requirements:
- Bachelor degree in STEM field
- 2-3 years of experience in similar role
- DevOps Configuration Tool: Terraform, Puppet, Docker/K8s
- Programming languages, such as Python
- Agile methods & tools like JIRA
- SQL and noSQL
- Problem-solving skills
- Experience with CI/CD systems
- Familiarity with the toolchain data engineers, scientists, analysts and governance team use
- A methodical and logical approach
- The ability to plan work and meet deadlines
- Accuracy and attention to detail
- Written and verbal communication skills
- Ability to collaborate across teams

Disclaimer: Due to large volumes of applicants, only shortlisted candidates will be contacted.

Responsibilities

Requirements

Offer

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