Join us in creating better futures through bold decisions.
We’re a data technology studio that focuses on helping our clients create operational change (faster) with their data. We’ve worked inside some of the world’s largest companies: Walmart, Zappos, Tyson, Chick-fil-A, H-E-B, and many more.
Our mission of creating better futures isn’t something we just seek for clients, but for ourselves as well. We are proud to be a collective of high-performers that champion necessary change when we see it. We strive to model new (better) ways of working within our own company — taking a people‐first approach to everything we do.
We’ve been named a Best Place to Work for four years and made Entrepreneur’s list of “Top Company Culture” winners. We’re also proud to have made the Inc. 5000 list of America’s Fastest‐Growing Private Companies for four years running (2017, 2018, 2019, 2020)
About the Role:
The Sr Data Engineer role requires both great technical skills as well as a consultative and leadership based approach to work and teams. In this role you can expect to be engaged in strategic planning of architecture and systems with an eye for rapid development and performance, as well as demonstrating technical skills while creating well thought out data pipelines and repositories, particularly in the context of warehousing and analytics.
It is imperative that you have a solid understanding of database architectures, being able to identify technology fit for client solutions. . Solid fundamentals in relational and non relational design are critical, critical. You will be working closely with teams having varying levels of experience with data systems, both internal RevUnit teams as well as client teams, and will need to be able to model best practices. Being a good communicator and team player is important to your success in the role.
You will have opportunities to help support machine learning and be involved in defining and building data pipelines on these projects. Knowledge in this space is not essential, but being interested and willing to learn how your craft fits into the larger picture is. We value folks who are passionate about what they do, are ready to offer a hand when needed, and are happy to share their knowledge with the rest of the team. We are looking for someone who has an interest in creating their own destiny by helping grow our data engineering practice.
Key Responsibilities:
What you’ll be doing (mostly)
- Providing expertise regarding data architecture to help teams implement best practice and best-in-class solutions.
- Helping to define new data structures for tailored client use cases, from performant dashboarding to ML processes/
- Creating data pipelines and supporting processes for transforming data in transit or at rest.
- Building optimized data aggregations and structures for downstream processing, analytics, and visualization.
- Participating in project ceremonies and team activities
Core Activities:
A sampling of what you might be doing on any given day.
- Reviewing SQL queries to provide tuning insights
- Mentoring clients about data infrastructure to support best practices and best-in-class performance
- Creating ETL pipelines to transform data from a lake to and analytic repository
- Collaborating with clients on best practice data modeling given the current and future needs of the business
- Collaborating with our machine learning teams to support novel machine learning initiatives
- Helping to create continuous deployment processes for a data initiative
- Engaging with internal teammates on best practices regarding data storage, retrieval
Requirements
- Desire to live into the RevUnit values of: Do what’s right; be fearless; a little better all the time; I’ve got your back, you got mine; and celebrate the wins
- 4+ years experience with:
- Data modeling and architecture experience
- Python, R, or similar technologies
- Cloud platform experience with data on AWS, Azure, or GCP
- Database performance tuning and query optimization
- Data transformation patterns
- Data analysis, discovery,
- Relational and non-relational database principles and design
- Understanding of how data engineering fits within DevOps systems and processes
- Demonstrable experience working with cross-functional application engineering teams
- Demonstrable experience working with infrastructure supporting data storage, data warehousing, data for interactive applications , analytics applications, etc.
- Demonstrable experience working on teams and conveying technical topics to both technical and non-technical audiences
- Ability to think one step ahead and act strategically
- A strong aptitude and interest in independent continuous learning, staying up to date on relevant technology, trends and practices.
Benefits
- RevUnit pays 100% of your individual premiums for Medical, Dental, Vision, and both Short and Long-Term Disability
- Basic Life and AD&D
- Health Savings Account (HSA) option
- 401k matching program
- Employee Assistance Program (EAP)
- Unlimited paid time off
- 8 Paid holidays
- Paid parental leave
- All Hands Meetings (All-Company in-person 2x per year. Focus on skill development, team building, and celebration.)
- Monthly stipend for snacks/food
- Company laptop, monitor, and accessories
Join us in creating better futures through bold decisions.
We’re a data technology studio that focuses on helping our clients create operational change (faster) with their data. We’ve worked inside some of the world’s largest companies: Walmart, Zappos, Tyson, Chick-fil-A, H-E-B, and many more.
Our mission of creating better futures isn’t something we just seek for clients, but for ourselves as well. We are proud to be a collective of high-performers that champion necessary change when we see it. We strive to model new (better) ways of working within our own company — taking a people‐first approach to everything we do.
We’ve been named a Best Place to Work for four years and made Entrepreneur’s list of “Top Company Culture” winners. We’re also proud to have made the Inc. 5000 list of America’s Fastest‐Growing Private Companies for four years running (2017, 2018, 2019, 2020)
The Sr Data Engineer role requires both great technical skills as well as a consultative and leadership based approach to work and teams. In this role you can expect to be engaged in strategic planning of architecture and systems with an eye for rapid development and performance, as well as demonstrating technical skills while creating well thought out data pipelines and repositories, particularly in the context of warehousing and analytics.
It is imperative that you have a solid understanding of database architectures, being able to identify technology fit for client solutions. . Solid fundamentals in relational and non relational design are critical, critical. You will be working closely with teams having varying levels of experience with data systems, both internal RevUnit teams as well as client teams, and will need to be able to model best practices. Being a good communicator and team player is important to your success in the role.
You will have opportunities to help support machine learning and be involved in defining and building data pipelines on these projects. Knowledge in this space is not essential, but being interested and willing to learn how your craft fits into the larger picture is. We value folks who are passionate about what they do, are ready to offer a hand when needed, and are happy to share their knowledge with the rest of the team. We are looking for someone who has an interest in creating their own destiny by helping grow our data engineering practice.
What you’ll be doing (mostly)
- Providing expertise regarding data architecture to help teams implement best practice and best-in-class solutions.
- Helping to define new data structures for tailored client use cases, from performant dashboarding to ML processes/
- Creating data pipelines and supporting processes for transforming data in transit or at rest.
- Building optimized data aggregations and structures for downstream processing, analytics, and visualization.
- Participating in project ceremonies and team activities
Core Activities:
A sampling of what you might be doing on any given day.
- Reviewing SQL queries to provide tuning insights
- Mentoring clients about data infrastructure to support best practices and best-in-class performance
- Creating ETL pipelines to transform data from a lake to and analytic repository
- Collaborating with clients on best practice data modeling given the current and future needs of the business
- Collaborating with our machine learning teams to support novel machine learning initiatives
- Helping to create continuous deployment processes for a data initiative
- Engaging with internal teammates on best practices regarding data storage, retrieval
Requirements
- Desire to live into the RevUnit values of: Do what’s right; be fearless; a little better all the time; I’ve got your back, you got mine; and celebrate the wins
- 4+ years experience with:
- Data modeling and architecture experience
- Python, R, or similar technologies
- Cloud platform experience with data on AWS, Azure, or GCP
- Database performance tuning and query optimization
- Data transformation patterns
- Data analysis, discovery,
- Relational and non-relational database principles and design
- Understanding of how data engineering fits within DevOps systems and processes
- Demonstrable experience working with cross-functional application engineering teams
- Demonstrable experience working with infrastructure supporting data storage, data warehousing, data for interactive applications , analytics applications, etc.
- Demonstrable experience working on teams and conveying technical topics to both technical and non-technical audiences
- Ability to think one step ahead and act strategically
- A strong aptitude and interest in independent continuous learning, staying up to date on relevant technology, trends and practices.
Benefits
- RevUnit pays 100% of your individual premiums for Medical, Dental, Vision, and both Short and Long-Term Disability
- Basic Life and AD&D
- Health Savings Account (HSA) option
- 401k matching program
- Employee Assistance Program (EAP)
- Unlimited paid time off
- 8 Paid holidays
- Paid parental leave
- All Hands Meetings (All-Company in-person 2x per year. Focus on skill development, team building, and celebration.)
- Monthly stipend for snacks/food
- Company laptop, monitor, and accessories
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