Senior Data Engineer

Do you have a unique passion for data? On one hand you’re a doer who loves to think about ways to build data pipelines, drive data quality and work with product and R&D teams to enable their projects. On the other hand you're a teacher and coach who loves seeing others understand and be successful with data.

Your experience wrangling data over the years has taught you a few valuable lessons. Firstly, you've come to accept that data comes in all shapes and sizes (and almost never the shape and size that you actually need right now). Secondly, you've realized that data engineering is much more than a quick shoots-and-ladders game of getting a pile of data from point A to B... in fact data quality and reliability are what sets apart the orgs that get this right. Finally, and most importantly, you've realized that the truly satisfying moments are the ones where you get to see the actual impact of your work and how it's helped others around you.

Expel is looking for someone with a passion for data quality, a vision for data modeling and drive to organize data. You’ll have autonomy to help shape the future of data engineering at Expel by bringing your ideas to improve what we do and how we do it. You’ll work across the company to understand the needs of your collaborators and help deliver solutions that allow them to self-service data analysis. You’ll work closely with data scientists and engineers to enable research, support implementation of machine learning models and new product features.

Our team values collaboration and a “how can I help?” attitude. So, if you're someone who cares about making data engineering understandable to everyone, and finds mentorship exciting, we should talk!

What Expel can do for you

• Provide opportunities where the decisions you make have a direct impact on our company and our customers
• Empower you to scale yourself by teaching others what responsible data engineering is and how it can make an impact
• Challenge you to push the boundaries of our data engineering, security, and technology vision
• Provide an entertaining, small and highly transparent startup environment

What you can do for Expel

• Bring others along with you on your journey by ensuring stakeholders understand our data
• Work across our operations, engineering and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities, and can easily self-service analysis of data that impacts their business organization.
• Foster an atmosphere of experimentation, continuous learning, and improvement, while also driving a culture of quality
• Stay aware of emerging techniques and papers that might benefit Expel
• Contribute to an environment of mentorship and coaching of data engineering processes and tools
• Contribute to Expel’s external voice through blog posts and conference speaking

What you should bring with you

• Passion for teaching and mentoring others about data engineering techniques and best practices
• Ability and desire to collaborate and work with teams throughout the organization to foster research and innovation
• Ability and desire to communicate technical concepts to audiences of various technical expertise
• A passion for improving and building data platforms
• Extensive experience with SQL and Python, BigQuery experience is a plus
• Experience building data pipelines (DBT, Airflow, Beam) with a solid understanding of data modeling, data access, and data storage techniques and best practices
• 5+ years of data engineering experience with a deep understanding of engineering and quality best practices, particularly in SaaS environments

Additional information

The base salary range for this role is between $130,600 USD and $189,400 USD + bonus eligibility and equity.

We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.

We’re only hiring those authorized to work in the United States.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We do not currently sponsor immigration visas.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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