The Motley Fool
Financial Services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at The Motley Fool. Skills: Data Engineering, Data Infrastructure, Snowflake, Python. Design data infrastructure. Build data infrastructure”
What You'll Achieve.
Ensure trustworthy data; Ensure timely data; Minimize compute cost; Maximize performance
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
5+ years Python development, 5+ years ETL/ELT pipelines, Deep expertise Snowflake architecture, Complex analytical SQL, Hands-on AWS CDK or Terraform
Nice to Have
Apache Airflow experience, Lambda experience, RAG experience, Knowledge bases experience, Embeddings experience, Working knowledge AWS ecosystem, Data governance experience, Data cataloging experience, Data lineage tooling experience, Machine learning fundamentals, Familiarity scikit-learn, Familiarity XGBoost
What You'll Do.
Design data infrastructure
Build data infrastructure
Take ownership data infrastructure
Own complete data lifecycle
Find data for stakeholders
Build data for stakeholders
Ensure trustworthy data
Architect ETL/ELT pipelines
Build Snowflake data warehouse
Tune Snowflake data warehouse
Develop analytical models
Introduce machine learning capabilities
Lead transformation data infrastructure
Move from manual processes
Move from spreadsheet workflows
Build scalable data systems
Build governed data systems
Build automated data systems
Drive data-powered AI initiatives
Establish data foundations
Feed natural-language interfaces
Feed intelligent automation
Augment initiatives with ML
Automate data story telling
Build reusable templates
Build automation frameworks
Generate narrative-driven slide decks
Populate email campaigns
Produce social-ready content
Support investment reporting
Support performance attribution
Support ad hoc analysis
Profile slow-running queries
Optimize slow-running queries
Minimize compute cost
Define cloud infrastructure
Deploy cloud resources
Treat infrastructure as software
Design CI/CD workflows
Maintain CI/CD workflows
Deploy data pipelines
Deploy infrastructure
Test application code
Deploy application code
Translate questions into data models
Build dashboards for decisions
Build reports for decisions
Design automated pipelines
Render data into marketing outputs
Enable LLMs to query data
Answer natural-language questions
How You'll Work.
Team & Collaboration
Investment teams; Business partners; Investment committee; Business teams; Software engineers
Communication Scope
Executive presentations; Technical documentation
Process & Methodology
CI/CD, Version control, Peer review
Full Job Description
Who Are We? The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we’ve been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We’re a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we’re driven by the impact our work has on real people’s financial futures. What Does This Team Do? We are seeking a Senior Data Engineer to design, build, and take full ownership of the data infrastructure powering our investment operations. You will own the complete data lifecycle, spanning ingestion, transformation, warehousing, analytics, and machine learning, serving as the connective tissue between raw data and the decisions that depend on it. If something breaks, you fix it. If a stakeholder needs data, you find it or build it. The Investment Committee and business partners rely on you to ensure they always have trustworthy, timely data in hand. You will architect ETL/ELT pipelines orchestrated by Apache Airflow (AWS MWAA), build and tune a Snowflake data warehouse fed by S3 data lakes, and develop the analytical models and dashboards that turn raw data into actionable intelligence. You will also play a key role in introducing machine learning capabilities to enhance forecasting, anomaly detection, and portfolio analytics. What Will You Do in This Role? You will help lead the transformation of our data infrastructure, moving the team from manual processes and spreadsheet-based workflows into scalable, governed, automated data systems. This role sits at the center of investment operations, analytics, reporting, and emerging AI initiatives. What Strategic Initiatives You Will Drive? The “Golden Source” Transformation: Migrating data reliance from spreadsheets and manual processes into a governed Snowflake warehouse with documented lineage, quality checks, a
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