Routable is a B2B payments platform built to make bill payments and mass payouts fast and seamless. Our mission is to be the simplest way to send and receive business-to-business payments. Unlike other payment platforms, Routable’s modern, easy-to-use API allows you to build a powerful payments infrastructure in minutes. 

 

We’re a Series B startup with $46M in funding. We’re helping some of the largest marketplaces and gig economy companies, including Ticketmaster, Snackpass, and Garmentory. Hundreds of finance teams trust our decades of experience in building B2B payment solutions.

 

Our environment encourages intellectual curiosity, problem solving, and openness—one that provides the support and mentorship needed to succeed, learn, and grow. We'll make sure you have everything you need to do your best work and make an impact. We’re a fully remote startup with our team working from a city they love across the United States, Argentina, and Canada.

 

About the Role

We are seeking an experienced Data Engineer with expertise in creating and maintaining data models that support a scalable, agile, and versatile approach to business analytics. This person is an expert in collaborating with business stakeholders to design, implement, and deploy analytic solutions.

 

As a Data Engineer, you will support the need for insights from Routable’s other internal teams and Routable’s goal of being truly data driven. You will own the process for preparing and maintaining our data warehouse for data analyses. In addition, you will help the Routable data team build and manage the data transformation, ETL, reverse ETL processes, as well as maintaining our Looker metadata and logical models. You will interface often with internal teams and be a key domain expert on how our business measures operational and product teams.

Who we’re looking for

• You are self-sufficient and comfortable investigating new or unfamiliar data sets
• You are able to effectively collaborate with subject matter experts to understand our source data, systems and data requirements and translate these into physical and logical models
• You are an optimizer who loves building efficient data pipelines, models, and processes to improve data accessibility and warehouse performance. Experience with dimensional data modeling is a must
• You are able to continuously improve and evolve our data models to address new and changing business requirements, address performance, and improve end user experience
• You love to support others, and know that you succeed when your team thrives
• You are comfortable not having all the answers and ready to ask for help 
• You are thrilled about working in a fast-paced start-up environment, where you get to help create the future of the company and take responsibility for what that looks like

 

Responsibilities

• Work closely with other internal teams to understand and address needs for data analysis
• Lead the data team’s in-warehouse transformation, ETL and reverse ETL processes to create scalable and agile data assets for analysis
• Manage and report on the data quality and performance of our data warehouse
• Develop new ideas or solutions to push forward the company data-driven culture
• Maintain a keen grasp of how our data is produced
• Write and execute data validation test scripts and resolve data discrepancies and ensure that we are providing clean data to our stakeholders
• Analyze and understand potential data quality issues from various source systems, understand impact on data models and root causes, and work the leadership to improve data governance processes 
• Champion data security and always maintain a high level of care for our customers’ private information

Qualifications

Need to have

• 2+ years experience in a data engineer role supporting analytics teams and cross-functional stakeholders
• 2+ years of SQL experience, writing queries and implementing ETL processes to produce data for analysis
• 2+ years experience working with business intelligence tools such as Tableau, Looker or PowerBI
• Must have experience with DBT
• Design and implement ETL scripts create and maintain data warehouse data models
• An analytical mind and strong quantitative skills
• Ability to thrive in an autonomous environment, and manage projects through to delivery
• Strong understanding of relational databases and other key data structures and creating analytic data models. Understanding of dimensional / star schema data models is a must
• Sound business intuition and an ability to craft clear business questions
• High oral and written communication proficiency

 

Nice to have

• Experience with financial products or services
• Experience with Looker 
• Experience with Python (or other scripting language)
• Experience with Hightouch (or other reverse ETL tool)
• Experience with data warehousing solutions (ex: Redshift, Snowflake, etc.)

Location

You must be currently authorized to work in the United States or Canada on a full-time basis.

 

We are a remote first company! Rather than restrict ourselves to only find talent in one city, we’d rather find the absolute best people regardless of where they live. One amazing benefit to our remote culture, is that it enables our team to enjoy traveling ✈️ more regularly since they can work from wherever!

Reporting

The Analytics Data Engineer reports directly to our Director of Data Analytics.

About Routable

Our Core Values

At Routable, we are driven by our values. Our values act as guiding principles when it comes to our work, our hiring practices, and ourselves. We talk about them every day and praise each other based on our ability to embody them.

 

💞 Engage with Empathy: Have empathy and a deep understanding for your peers, and our customers. This means no ego and cultivating relationships by actively listening to each other's needs.

🤝 Volunteer Assistance: Helping others is always a priority, even when it is not immediately related to the goals that we are trying to achieve. We make it a point to foster an environment of inclusiveness for our remote team.

💪 Own it: We are all company owners and we act like it. We make data driven decisions and jump at the opportunity to be accountable. Taking action when you see a problem is our default state.

🛠 Build with Purpose: We are collectively building the product and company of our dreams. We are intentional with everything we do and are always looking for ways to improve. We sweat the details.

🧬 Expect Authenticity: We do not compromise our values when it comes to our team and our customers. We champion originality. Be yourself. Everyone else is already taken.

 

Rendezvous

To help foster amazing relationships with our coworkers, we meet up twice a year as a whole team in some pretty awesome cities! In the past we’ve met up in San Diego, Seattle, and Austin. We’d rather invest money into memorable team events rather than expensive offices. During our meet-up team time, we love to spend time learning a new skill together, and solving problems. Most recently this has taken on the form of a bread-making class and defeating an Escape Room. Yeah.. We love to compete together as a team.

 

Note: we have paused our meetups due to COVID-19 and will resume when it is safe for everyone to attend.

 

Perks

🏥  Great Health, Dental and Vision Insurance

💲 Competitive salary

📈 Stock Options

💰 401(k) Matching

💸  Work from Home Stipend

🚀  We're a remote team

🏝 Flexible vacation policy

🍼 Paid parental leave (12 Weeks)

Inclusive Employer

Routable welcomes employees from varied backgrounds and walks of life, and it’s reflected in our diverse community of Routers. Routable is proud to be an equal opportunity employer and is committed to administering personnel actions, including hiring, training, promoting and compensating its employees, without regard to race, color, religion, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.