Senior Data Engineer

DealMaker is a fast-growing fintech company revolutionizing the capital markets ecosystem with a mission to make online capital raising mainstream. We empower founders, CEOs, and operators to raise capital digitally, both from their own communities and through strategically marketed campaigns. No other platform provides an end-to-end solution like ours—and our track record speaks for itself, with over $2B raised across 1,000+ campaigns. We power the largest online capital raises for customers like EnergyX ($88M), Green Bay Packers ($65M), Miso Robotics ($72M+), Monogram Orthopaedics (Nasdaq:MGRM) and many others, with 3 IPOs in the past year alone. We are quickly expanding our horizons and are seeking talented team members to join us on our journey to transform the global capital market. 
We're looking for an experienced Senior Data Engineer to join our growing Data & AI team in Medellín. This is a high-impact Individual Contributor (IC) role that will be critical in architecting and scaling the data ecosystem that powers DealMaker's growth, reporting directly to the VP of Data and AI. You will be a technical leader for a team focused on three core initiatives: Achieve Core Data Reliability, Drive Enhanced Marketing Technology, and Automate and Optimize Sales Forecasting.
Who You Are You are a pragmatic, results-driven engineer who thrives in a fast-paced environment. You are comfortable with the DealMaker value of Prioritize Speed over Perfection, knowing when to build an MVP and when to engineer for the long term. You have a Find a Way attitude and Push Your Limits to solve complex data challenges. You are Bold and Direct in advocating for technical best practices, and you Innovate and Simplify complex systems. Above all, you Obsess over Customers, whether internal teams or external users, by ensuring data is reliable, accessible, and high-quality to Drive Outcomes.
What You Will Do As a Senior Data Engineer, you will own the design, development, and scaling of our modern data platform. Your work will directly enable marketing attribution, sales forecasting models, and core business intelligence across the company. Key Responsibilities & Impact: - Architect and Scale the Modern Data Stack: Lead the design and implementation of highly scalable, cost-efficient data infrastructure (Data Warehouse, ETL/ELT, Streaming) to support DealMaker's exponential growth. - Drive Data Reliability: Establish and enforce a company-wide Data Quality and Observability Framework (using tools like dbt, Open MetaData) to guarantee data integrity, directly supporting the Achieve Core Data Reliability initiative. - Optimize Core Business Processes: Build robust data pipelines that ingest and transform data for our predictive models, directly enabling the Automate and Optimize Sales Forecasting initiative. - Enhance Marketing Technology: Architect the data flow for our customer data platform (CDP), providing a unified customer view essential for targeted campaigns and attribution models, driving Enhanced Marketing Technology. - Elevate Team Standards: Define data engineering best practices, coding standards, and deployment methodologies (CI/CD), and mentor other engineers and analysts to elevate the team's overall technical capability. - The most critical part of this role is: Cross-Functional Technical Leadership and Scalability & Resiliency-Driven Data Architecture. You will be the technical point person for architecture decisions across the Data, Product, and Engineering teams.
What Skills You Need The ideal candidate must have: - Expertise in designing and implementing scalable data infrastructure (data warehouses, data lakes, streaming systems). - Deep knowledge of strategic technology choices for the modern data stack (e.g., Snowflake, BigQuery, AWS/Azure services) that balance cost, performance, and maintainability. - Proven ability to design, build, and maintain high-performance ETL/ELT workflows using Python, SQL, and orchestration tools (e.g., Airflow, Prefect). - Experience implementing advanced optimization techniques (performance tuning, query optimization) for large datasets. - Ability to define and advocate for data engineering best practices, coding standards, and CI/CD methodologies. - Experience mentoring other data team members and leading technical design reviews. - Excellent communication skills for collaborating with Data Scientists, Data Analysts, and Product Managers to translate business requirements into high-quality data solutions. - A strong bias for action and a focus on delivering tangible business outcomes. Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As a Series A tech startup, we are well-capitalized, firmly established in our market, and ready to scale. Here's why you should want to join us: -Competitive compensation with the opportunity to earn equity—get into a growth company on the ground floor -A diverse & distributed team of doers, innovators, and experts -Shared employee benefit plan (medical, vision, & dental) -Strong autonomy with support from leadership -Annual learning support And more
Equal Employment Opportunity
DealMaker does not discriminate in hiring or terms and conditions of employment because of an individual's race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws. Please inform us if you require any accommodation, and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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