Who We Are We are a tech‑enabled growth firm at the intersection of marketing, consulting and data intelligence, igniting revenue and brand recognition for leading and emerging companies worldwide. As a people‑first organization, we value diversity in backgrounds and experiences, and believe that our culture and people are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world, and our mission is to power the relentless pursuit of growth and redefine what’s possible through a team of growth‑obsessed experts who demand innovation and results, driven by integrity, autonomy, and grit. A Day In The Life You operate at the intersection of data engineering and applied AI, building end‑to‑end solutions that power Power Digital’s internal AI platform. You take ownership from raw data ingestion through to AI‑ready outputs and features, and collaborate closely with data science and product teams to ensure that data systems translate into functional AI capabilities used across the organization. Responsibilities Build and own end‑to‑end data pipelines in Snowflake—from raw ingestion through transformation to serving layers for AI products Partner with ML engineers and data scientists to build and maintain AI‑specific data infrastructure Consolidate fragmented data sources across the organization into reliable, automated pipelines Design scalable data models and marts that serve both analytics and ML feature engineering Support rapid iteration on new data products and features in a fast‑moving environment Collaborate cross‑functionally with analytics, data science, and product teams to translate requirements into data solutions Proactively monitor and resolve data quality issues, optimizing for cost and performance Employ AI technologies to enhance and optimize business processes Utilize and leverage Power Digital's Nova ecosystem as it relates to your department Use AI coding tools as part of your daily development workflow to accelerate pipeline development and data quality work Role Requirements Strong proficiency in Python and SQL Experience building end‑to‑end data solutions, from ingestion to production use Experience with Snowflake or a similar cloud data warehouse Working knowledge of AWS (e.g., S3, Lambda, EventBridge) Understanding of data modeling and structuring data for downstream applications Familiarity with Git and basic CI/CD practices Active use of AI tools in development workflows (e.g., Claude Code, Cursor, Copilot) Comfortable shipping fast and iterating from live user feedback Hands‑on exposure to AI workflows (e.g., embeddings, vector databases, RAG systems) Looker or similar BI/semantic layer experience Proficiency in spoken and written English at an advanced level Key Performance Indicators (KPIs) Pipeline Reliability: ≥95% weekly uptime on all production pipelines owned by end of Month 3, measured via Snowflake/Render monitoring. Any P1 failure acknowledged within 4 hours with a status update. Data Quality: ≥90% row‑level completeness on serving tables by end of Month 2, with at least one automated quality check running in production. Shipping Velocity: At least 1 data improvement shipped to production per week by the end of Month 2. This includes new data sources connected, pipeline fixes, Looker model additions, quality patches, or latency improvements. Feature Contribution (Month 4+): At least 1 AI product has a measurable data improvement—new source added, latency reduced, or accuracy lift—directly attributable to this engineer’s work before end of Q2. Most Important Things (MITs) Build and ship end‑to‑end data systems that directly enable AI features Deliver production‑ready datasets and pipelines that unblock AI and product teams Reduce fragmentation by creating unified, AI‑ready data foundations Benefits & Perks Base salary paid in USD Unlimited Time Off available on day one Fully flex work environment: full‑remote, in‑office, or hybrid Healthcare stipend: $50/month to support your healthcare or insurance costs National holidays + 2 mental health recharge days per year Unlimited opportunities for growth & leadership within a rapidly growing firm Ongoing employee development programs for personal and professional growth Quarterly awards including prize money and recognition for outstanding performance Opportunities to be involved in company DEI initiatives Power Digital’s people and culture are at the core of our success, and diversity in our team’s backgrounds and experiences is paramount. We are an Equal Opportunity Employer and our employees have different strengths, experiences, and backgrounds, striving to make an impact inside and outside the workplace. Diversity includes race, gender identity, age, disability status, veteran status, sexual orientation, religion, and many other aspects of identity. Inclusion is everyone's responsibility. #J-18808-Ljbffr