Job Title: Data Engineer

Location: US - Remote  

WHY YOU’LL LOVE SALESLOFT:

Put Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.

These are the values that define who we are, that have empowered our staggering growth, and could be instrumental to your career development

Headquartered in Atlanta, Georgia, with offices in San Francisco, New York, London and Guadalajara, SalesLoft has over 470 employees and is growing rapidly.  As a testament to our Organizational Health, SalesLoft has been named twice by Deloitte as a ‘Fastest-Growing Technology Company in North America,’ featured by The New York Times as a start-up on a path to a $1B valuation, and has been recognized as a ‘#1 Best Place to Work in Atlanta’ three separate years.  SalesLoft is ranked #1 in the emerging category of Sales Engagement software and is on a mission to equip companies to maximize revenue by creating a fantastic buying experience. 

We’re redefining an age old industry! This is challenging work – but our team of brilliant creatives makes the journey thrilling.  We’re fast-paced, innovative, and collaborative.  We pursue excellence in everything and have a lot of fun along the way.  Come join us!

The Opportunity

Although we're proud of our history, we're just as excited about the future. We want to create a world-class culture and company that attracts, develops, engages and retains the nation's elite talent.

At SalesLoft, our Data Engineers are pivotal to our company's success. You will be a key member of our fast-growing and high-performing Data & Analytics team helping departments monitor their performance, understand trends, and make more informed decisions.

In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will also have the opportunity to guide architectural improvements and best practices for a high scale data infrastructure.

What We’re Looking For:

As a key member of our rapidly growing organization you will help us build the data architecture and transformation pipeline that powers our internal stakeholders ability to access and analyze data at scale. You will work closely with a team of engineers and analysts to ensure data is regularly available and well structured. 

On a day-to-day basis you will be responsible for interfacing with analysts and stakeholders from across the company to architect and deliver end to end ELT pipelines. A Data Engineer will be tasked with the following:

• Developing data pipelines from ingest to modeled data in domains including product, marketing, revenue and customer success
• Participating in design sessions about your data models and pipelines
• Collaborating with analysts and business users to deploy analysis ready data sets into production
• Perform heads down development, test your code, review peer code and ship it to production
• Maintain, monitor and debug your work in a production environment
• Define and improve our internal standards for style, maintainability and testing

The Team:

Our SalesLoft Data & Analytics team is composed of Data Analysts & Data Engineers who are all aligned on one mission: to redefine the Sales Engagement space and activate the authentic seller in all of us.

The Data & Analytics team consists of passionate data engineers and analysts with a drive to enable SalesLoft to make better decisions. Our team shares a few common traits: they are accountable, unafraid to experiment, and continuously learning. They are also the epitome of our core values - Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.

The Skill Set:

• 3+ years of professional experience in a Data Engineer or similar role 
• Comfortable working with Git and SQL
• Experience creating production grade ELT pipelines we use Fivetran, Snowflake, DBT and Looker)
• Ability to troubleshoot, performance tune, and write good tests 
• A deep understanding of data modeling & normalization techniques 
• Experience with agile methodologies such a Scrum or Kanban
• Strong oral and written communication skills that enable asynchronous work
• Experience with a modern data stack is a plus (we use Fivetran, Snowflake, DBT and Looker)
  
  

Within one month, you’ll:

• Be comfortable working with dbt and our data stack 
• Contribute to an existing data model in production
• Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them.
• Begin 1:1s with your manager, understand your 30-60-90 plan, & shadow current members of the SalesLoft team.

Within three months, you’ll:

• Gather requirements and scope on projects with little support from more senior members of the team
• Contribute to internal conversations on data organization and structure
• Design, plan and deliver analysis ready data sets to production
• Make implementation decisions that balance speed and technical debt
• Own operational tasks such as host migrations with minimal oversight

Within six months, you’ll:

• Proactively identify areas for improvement regarding our data stack, testing practices, and documentation
• Become comfortable peer reviewing work from fellow team members
• Collaborate with analysts on their data roadmap to identify upcoming initiatives and resource constraints.

Within twelve months, you’ll:

• Own the infrastructure, processes, and data sets for several domains within the company
• Regularly interface with senior engineering staff to develop a forward looking vision for our data stack
• Work with data producers to identify and prioritize source data quality issues

IS THIS ROLE NOT AN EXACT FIT? Keep an eye on our Careers Page for other positions!

Why you should work at SalesLoft?

• You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
• You will work with an amazing team you can learn from and teach
• You will experience joining a high-growth/high-traction organization
• You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
• You will build community with Lofters of many cultures and backgrounds through ERGs and DEI initiatives
• We have a vibrant, open office that utilizes modern technology
• You will grow more here than you would anywhere else, that is a promise

SalesLoft is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.