Senior Data Engineer - Technical.ly

Senior Data Engineer

Inspire |  Philadelphia, PA | Data Science

Job Description
Perks + Benefits
Company Culture
Technical.ly Coverage

Inspire is a clean energy technology company on a mission to transform the way consumers access clean energy and to accelerate the world’s transition to a net-zero carbon future. 

We provide our customers with access to renewable energy from wind, solar, and hydro powered sources without service interruptions or costly installations at a flat, predictable monthly rate. For every year that a customer spends with Inspire Clean Energy, they have a greater impact on climate change than 10 years of strict recycling. 

Our rapidly growing team of mission-driven, climate enthusiasts is passionate, innovative and committed to a better future for the planet.

POSITION SUMMARY

As a Sr. Data Engineer on our Operating Model Team, your work will help drive down costs, manage risk, accelerate growth and improve our member experience — broadening access to clean energy as we grow to new markets, and enabling new products that accelerate a net zero carbon future.

Inspire’s Operating Model is the heart and the brain of our clean energy platform — tracking and forecasting costs and revenues as the source of truth for key stakeholders across the business to make decisions about growth, optimization and strategy.

You will work closely with executive stakeholders alongside machine learning engineers and data scientists to apply sophisticated modeling techniques on a modern data stack to predict and build the future of energy usage and customer engagement.

THE SENIOR DATA ENGINEER HAS 5 MAIN RESPONSIBILITIES

  • Building SQL models that transform raw data into actionable insights
  • Managing graph-oriented workflows in Python to automate repetitive tasks
  • Communication with technical and non-technical audiences, and ability to translate between the domains of business problems and implementations
  • Team-oriented development: building modular & re-usable tools, writing maintainable code, owning technical and business documentation
  • Working with our Data Science and ML Engineering Team to provide high-fidelity datasets for our machine learning algorithms and assess and understand the performance of our ML Models

SOME YEAR 1 DELIVERABLES

  • Extend the Operating Model to accommodate new product offerings and support our expansion to new markets
  • Identify bottlenecks and improve scalability to support our growing customer base
  • Improve data governance and quality control to pre-empt data quality issues in critical systems.
  • Work with our Applied Modelling team to ensure quality and reliability as we introduce increasingly sophisticated machine learning algorithms into our Operating Model

SUCCESS METRICS

  • Cultivated familiarity with Inspire’s frameworks & operating model
  • Delivery of high-quality pull requests, evidencing strong code standards & testing practices
  • High quality documentation for both technical and non-technical audiences
  • Comfort with self-directed project management: requiring minimal oversight to assess a problem, formulate a solution, deliver code, and document changes.
  • Positive interactions with department stakeholders: guidance and input that creates business value for non-technical personnel; feedback on priorities, status, and estimates that create transparency and build trust.

DESIRED TRAITS

  • Analytical: Able to develop a keen understanding of the problem before deciding on a solution
  • Curious: Desire to understand the underpinnings of complex business processes in order to design the correct technical solution
  • Determined: Able to focus on the problem at hand and deliver a complete solution quickly.
  • Open minded: Incorporates new information quickly in a fast changing environment; willing to take input from others.
  • Growth Mindset: Looking for challenges and opportunities to develop new skills and acquire knowledge.

EXPERIENCE

Must Have

  • 4+ years experience working with Python in a data intensive application
  • 1-2 years working with Apache Spark
  • 4+ years experience with the software development life cycle (git, Pull Requests, Code Reviews, Testing, etc)
  • Strong SQL experience working with large complex datasets
  • Proficiency working with the command line

Nice to Have

  • Experience working in the energy industry
  • Experience working with financial data and complex financial models
  • Experience with Machine Learning tools and techniques, understanding how models make decisions from data
  • Experience with key technologies: Snowflake, dbt, Airflow
  • Experience at a similar scale of data processing (Multi-TB/billions of rows)
  • Experience with containerized development using Docker, Kubernetes
  • Experience with technical communication to audiences of diverse backgrounds
  • Experience with problem solving and exploratory data analysis
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Health & Wellness
  • Dental Insurance
  • FSA
  • Health Insurance
  • HSA
  • Life Insurance
  • Long Term Disability
  • Mental Health Benefits
  • Short Term Disability
  • Vision Insurance
Other
  • Community Service Programs
  • Pet Friendly Office
Parental Benefits
  • Childcare Assistance Programs
  • Family Medical Leave
  • Flexible Work Schedule
  • Nursing Room
  • Parental Leave
Perks & Discounts
  • Bring Your Own Device Reimbursement
  • Casual Dress
  • Home Office Stipend
  • Offsite Company Events
  • Snacks Provided
Professional Development
  • Employee Recognition Programs
  • Training & Development Budget
Retirement & Stock Options Benefits
  • 401K
Vacation & Time Off Benefits
  • Commitment to Work/Life Harmony
  • Paid Holidays
  • Paid Sick Days
  • Unlimited PTO

What makes Inspire an exciting place to work?

We are constantly working towards something bigger than ourselves. Our mission is what inspires and connects us. But we're also raising awareness for customers that they have choices when it comes to choosing an energy source.

Roughly 20% of your overall carbon emissions come from your home — which is huge. You can eliminate that 20% from your carbon footprint simply by deciding to go with Inspire.

Through data, we empower customers by informing them of their choices and giving them an option to positively impact the environment.

 

What’s unique about working on Inspire’s tech team?

Between Philly and Santa Monica, we have about 60 people on our tech team. Being small, we’re able to bond and work together closely. Everyone across the entire team has a hand in creating something for customers. No one group comes up with ideas or roadmaps and presents them to the rest of the group; we collectively decide what we should be working on and how we can work towards bringing Inspire’s overall mission to life.

We’ve created a very supportive and uplifting subculture. It’s not just about social events; it’s about asking, “How can we grow together? How can we work better together?”

 

How has Inspire has worked to improve employee work/life balance during the pandemic?

Due to the always-on nature of working from home during quarantine, we found that people had started working more hours and taking less PTO. Even when we told people to take time off, they still seemed to check in and contribute. We established “bonus days,” where every other Friday is off for the entire company. That way, no one is working, employees don’t feel that they are missing anything, and everyone can truly relax and recharge.

 

What qualities make someone a promising job candidate at Inspire?

Everyone at Inspire is driven by the mission to expand access to clean energy and work toward a zero-net carbon future. So we look for candidates who have that same passion for taking care of our earth. We’re a company of team players who collaborate closely, always ready to hop on Zoom to solve problems as a team.

From a tech perspective, we want talented engineers of all levels, but we are also looking for people who also think deeply about the Inspire user and build features and solutions that work for them. People who are interested in their careers and helping grow the careers of those they work with share knowledge and level up their skill sets.

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