Data Engineer

<h3><strong>Who we are&nbsp;</strong></h3> <p><span style="font-weight: 400;">Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems and institutions by creating unprecedented access to the data and clean energy needed to make a decarbonized energy grid possible.</span></p> <p><span style="font-weight: 400;">In 2014, Arcadia set out on its mission to break the fossil fuel monopoly and since then we have been knocking down the institutional barriers to unlock decarbonization.&nbsp; To date, we have connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Fast forward to today, and now, we’re thinking even bigger.&nbsp; We have launched Arc, an industry-defining SaaS platform that empowers developers and energy innovators to deliver their own custom, personalized energy experiences, accelerating the transformation of the industry from an analog energy system into a digitized information network.</span></p> <p><span style="font-weight: 400;">Tackling one of the world’s biggest challenges requires out-of-the-box thinking &amp; diverse perspectives. We’re building a team of individuals from different backgrounds, industries, &amp; educational experiences. If you share our passion for ushering in the era of the clean electron, we look forward to learning what you would uniquely bring to Arcadia!</span></p> <h3><strong>What we’re looking for</strong></h3> <p><span style="font-weight: 400;">We are seeking a Data Engineer to design, develop, and maintain large-scale data applications and pipelines, working closely with the Analytics &amp; Data Science team to improve Arcadia's business through smarter use of data. The role will be hands-on and cross-functional, collaborating across the company to establish and execute the data engineering roadmap.</span></p> <p><span style="font-weight: 400;">This is an exceptional opportunity for someone who relishes the chance to engage with cutting-edge technology, influence how our team builds and stays relevant, and work in a fast-paced environment with engineers on a high-morale, tightly knit team. </span><a href="https://www.arcadia.com/assets/Engineering_Strategy_and_Values_V4.pdf"><span style="font-weight: 400;">Our engineering values are deeply ingrained in our culture-- you can read more about them here.</span></a></p> <p><span style="font-weight: 400;">Our core data stack makes heavy use of the AWS ecosystem, with pipelines built using both Lambdas and ECS tasks running Python on top of Snowflake or DynamoDB. We lean into modern data orchestration tools, including Prefect and Fivetran. Our customer-facing application stack also includes several Ruby on Rails apps, a GraphQL service layer, and a number of React clients.</span></p> <p><span style="font-weight: 400;">In your application, please include a link to GitHub or another place where your code is published, though we understand that not everyone has public code online.</span></p> <p>Arcadia is headquartered in Washington, DC, and open to fully remote candidates.</p> <h6><span style="font-weight: 400;">#LI-REMOTE</span></h6> <p><strong>What you’ll do:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Manage data pipelines from disparate sources, standardizing and feeding them into our centralized data warehouse</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work with both the Engineering and Analytics &amp; Data Science teams to optimize data flow and queries for large data sets to improve scalability</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Sync data across internal and external systems, such as marketing and sales automation tools, to enable key stakeholders to build best-in-class experiences</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Support ongoing efforts to establish and enforce best practices on data quality, use, and security across the company</span></li> </ul> <p><strong>What will help you succeed:</strong></p> <p><strong>Must-haves:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">3+ years combined programming and/or DevOps experience</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Significant experience with and a strong understanding of languages/tools relevant to engineering &amp; data teams’ work</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in one or more of the following languages: Python, Java, Ruby, Javascript</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Advanced knowledge of algorithms, data structures, and relational algebra</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Database management experience with PostgreSQL, RDS, Snowflake, or similar</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Data extraction experience with a strong understanding of thread-based and event-based paradigms</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Extensive experience in managing data pipelines, schemas, and storage for multiple systems and for multiple teams</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strong communication skills</span></li> </ul> <p><strong>Nice-to-haves:</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Undergraduate and/or graduate degree in math, statistics, engineering, computer science, or related technical field</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in predictive modeling and statistical analysis</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with enterprise database interfaces and messaging APIs</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with Amazon Web Services (AWS) or other cloud infrastructure platforms</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with entity resolution at scale</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in the energy sector</span></li> </ul> <h3><strong>Benefits</strong></h3> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Market-based compensation (salary + equity)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Healthcare, dental, vision, 401(k) and commuter benefits</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Paid Time Off (holidays, vacation, professional development, volunteer, parental leave)</span></li> <li style="font-weight: 400;"><a href="https://www.arcadia.com/assets/Engineering_Strategy_and_Values_V4.pdf"><span style="font-weight: 400;">A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency</span></a></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Professional development opportunities</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">All-company lunches</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Free clean energy</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">A chance to decarbonize and disrupt the energy sector</span></li> </ul> <h3><strong>Eliminating carbon footprints, eliminating carbon copies.</strong></h3> <p><span style="font-weight: 400;">Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in the United States.</span></p>