Data Engineer

Posted 2025-08-23
Remote, USA Full Time Immediate Start
<p><span style="font-size: 18pt"><span style="font-weight: bold">About the Role</span></span><br></p>
<p>We’re looking for a <span style="font-weight: bold">Data Engineer</span> to design, build, and scale the data infrastructure that powers decision-making across the company. You’ll own our data pipelines and models end-to-end — from ingestion to transformation — ensuring they are reliable, well-documented, and optimized for performance.</p>
<p>This is a <span style="font-weight: bold">hands-on engineering role</span> focused primarily (80%) on backend data engineering, with the remainder spent collaborating with analytics, product, and engineering teams on modelling and governance. You’ll help shape our modern data stack, contributing to both the immediate business needs and the long-term vision for our platform.<br></p>
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<p><span style="font-size: 18pt"><span style="font-weight: bold">Key Responsibilities</span></span><br></p>
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<p><span style="font-size: 18px"><span style="font-weight: bold">Execution &amp; Engineering</span></span></p>
<ul>
<li>You will, design, develop, and maintain scalable ETL/ELT pipelines using modern tools.</li>
<li>Build and manage data models and data marts in our cloud data warehouse (AWS Redshift) using <span style="font-weight: bold">dbt</span>.</li>
<li>Manage workflow orchestration and automation with <span style="font-weight: bold">Apache Airflow.</span></li>
<li>Ensure high performance, reliability, and cost-efficiency of data systems through <span style="font-weight: bold">monitoring, optimization, and proactive maintenance</span>.</li>
<li>Implement <span style="font-weight: bold">data testing</span> and version control best practices to ensure reliability in production.</li>
</ul>
<p><span style="font-size: 18px"><span style="font-weight: bold">Cross-Functional Collaboration</span></span></p>
<ul>
<li>Partner with analysts, product managers, and engineering teams to <span style="font-weight: bold">translate business requirements</span> into scalable data solutions.</li>
<li>Align event tracking, logging, and ingestion with analytical and reporting needs.</li>
<li>Work closely with DevOps and platform teams on infrastructure, tooling, and deployments.</li>
<li>Serve as a subject matter expert on data pipelines and tooling in cross-functional initiatives.</li>
</ul>
<p><span style="font-size: 18px"><span style="font-weight: bold">Governance &amp; Operations</span></span></p>
<ul>
<li>Implement and enforce data governance best practices, including privacy, access control, and data lineage.</li>
<li>Respond to and troubleshoot data issues in production, ensuring timely resolution and communication.</li>
<li>Maintain documentation and contribute to <span style="font-weight: bold">knowledge sharing</span> within the BizOps (data) team.</li>
</ul>
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<p><span style="font-size: 18pt"><span style="font-weight: bold">Our Current Stack</span></span></p>
<ul>
<li>Warehouse: AWS Redshift</li>
<li>Transformation: dbt, Spark</li>
<li>Orchestration: Apache Airflow</li>
<li>Ingestion: Fivetran, Airbyte, AWS Glue</li>
<li>Languages: Python, SQL</li>
<li>Infrastructure: AWS S3, EC2</li>
<li>Business Intelligence: Looker</li>
<li>Product Analytics: Amplitude</li>
<li>Machine Learning: SageMaker</li>
</ul>
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<p><span style="font-size: 18pt"><span style="font-weight: bold">Qualifications</span></span><br></p>
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<p><span style="font-size: 18px"><span style="font-weight: bold">Must-Have:</span></span></p>
<ul>
<li>3+ years of experience in a Data Engineering role or similar.</li>
<li>Strong <span style="font-weight: bold">SQL</span> and <span style="font-weight: bold">Python</span> skills.</li>
<li>Experience with cloud data platforms (<span style="font-weight: bold">AWS</span>).</li>
<li>Hands-on experience with <span style="font-weight: bold">modern data stack</span> tools (Airflow, dbt, Fivetran, Airbyte, Kafka, etc.).</li>
<li>Proven ability to work <span style="font-weight: bold">cross-functionally</span> and communicate effectively with technical and non-technical stakeholders.</li>
</ul>
<p><span style="font-size: 18px"><span style="font-weight: bold">Nice-to-Have:</span></span></p>
<ul>
<li>Experience designing data models for analytics and BI.</li>
<li>Familiarity with containerization (Docker) and CI/CD pipelines.</li>
<li>Exposure to data governance, privacy, or regulatory frameworks (e.g., GDPR, HIPAA).</li>
<li>Understanding of <span style="font-weight: bold">ML/AI pipeline fundamentals</span>.</li>
</ul>
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<p><span style="font-size: 22px"><span style="font-weight: bold">Who You Are</span></span></p>
<p>💡 <span style="font-weight: bold">Curious &amp; mission-driven:</span> You’re passionate about education and excited about the impact technology can have on learning.</p>
<p>🤝 <span style="font-weight: bold">Collaborative &amp; user-focused:</span> You thrive in cross-functional teams, listen deeply to users, and advocate for the best solutions.</p>
<p>📈 <span style="font-weight: bold">Strategic &amp; execution-oriented:</span> You balance vision with action, ensuring strategic vision turns into actionable outcomes.</p>
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