Data Engineer

Payrate: $68.00 - $70.00/hr.

Summary:

Design, build, and manage data-pipelines for Lead Sourcing/Generation, partnering with Sales, BDR, Marketing, and Enablement to align messaging, personas, and GTM strategy. Customize Flows by segment (ICP, industry, stage, role, account status), manage enrollment logic, branching, and exits, and ensure CRM sync, data cleanliness, compliance, and deliverability. Audit templates, content links, and annual copyright updates; troubleshoot delivery and logging issues across systems.

Responsibilities:

* Lead the development and implementation of advanced data science models.

* Collaborate with stakeholders to understand requirements.

* Drive best practices in data science.

* Ensure data quality and integrity in all processes.

* Stay updated with the latest trends in data science.

Minimum Qualifications:

* 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Preferred Qualifications:

* Bachelor’s/Master’s degree/PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.

* 5+ years of experience in advanced analytics or data science roles

* Deep expertise in experimentation, including A/B testing design, execution, analysis, and causal inference to measure true product/feature/strategy impacts

* Strong background in time-series analysis and forecasting to support growth planning and performance monitoring.

* Advanced proficiency in SQL, Python, ML, APIs with hands-on experience using large-scale analytics platforms (e.g., Big Query) Integrations with Salesforce Marketing Cloud and analytics tools (e.g., Jupyter Notebooks) to analyze large, multi-dimensional datasets.

* Proven ability to synthesize complex analytical findings into clear, actionable insights and compelling narratives for senior stakeholders

* Strong problem-solving skills with a track record of delivering data-driven recommendations that influence product and business strategy

* Experience building dashboards and automated reporting solutions using visualization tools (e.g. Tableau) to communicate experimentation results and ongoing performance metrics

* Industry experience in payments, eCommerce, or financial services is a strong plus

* Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences

Skills:

* SQL, BigQuery, API Management (a must)

* Python and knowledge with AI for prompt engineering

* Machine Learning or LLMS

Pay Transparency: The typical base pay for this role across the U.S. is: $68.00 - $70.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 

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