Founding Sr. Data Engineer, Sciemo

FullTime

$150-170k

base salary + performance bonus + excellent benefits and perks + equity

Mid, Senior and Expert level

New York

1-3 days a week in office (Flatiron, NY)

AI for consumer brands, focusing on sales and operations planning

Posted today

AI for consumer brands, focusing on sales and operations planning

1-20 employees

FintechB2BArtificial IntelligenceBig dataDeep TechCredit cardsMachine Learning

Posted today

$150-170k

base salary + performance bonus + excellent benefits and perks + equity

Mid, Senior and Expert level

New York

1-3 days a week in office (Flatiron, NY)

1-20 employees

FintechB2BArtificial IntelligenceBig dataDeep TechCredit cardsMachine Learning

Company mission

To build AI that makes growth effortless for consumer brands.

Job

Company

Role

Who you are

The Founding Senior Data Engineer owns the end‑to‑end data pipeline lifecycle—from source‑system ingestion and transformation to governance, privacy, and serving optimized data models. You will work closely with Backend Engineers, ML Engineers, and Data Scientists to deliver clean, trusted, and business‑ready data sets that accelerate product innovation

Desirable

Proven track record of deploying AI products into customer environment
Strong grasp of core machine learning, genai, agent and graph concepts, and best practices
Experience building a customer success team
Demonstrated self-motivation, hacking mentality, and creative problem-solving abilities
Experience contributing thought leadership and driving innovation for AI within a customer context

What the job involves

Cloud Data Pipeline Design & Development: Build scalable, cost‑effective ETL/ELT pipelines with AWS Glue, Athena, Redshift, S3, and Lambda (Python)
Integrate data from diverse source systems (REST, streaming, databases, SaaS) and standardize into business‑specific target models (dimensional, lakehouse, or graph schemas)
Leverage orchestration frameworks (Apache Airflow, AWS Step Functions) and versioned SQL/Python transformations (dbt or similar) to enable repeatable deployments
Data Governance, Lineage & Privacy: Implement data lineage and catalog solutions (DataHub, Amundsen, or OpenMetadata) ensuring end‑to‑end traceability
Enforce data governance and control‑plane policies using AWS Lake Formation or equivalent, aligning with SOC 2, ISO 27001, GDPR, and CCPA requirements
Champion data‑quality SLAs, automated testing, and monitoring (Great Expectations, Monte Carlo, or similar)
Collaboration & Enablement: Partner with ML Engineers and Data Scientists to provision feature stores and training datasets
Work with Backend Engineers to design efficient APIs and streaming interfaces for real‑time data access
Document data models, publish best practices, and mentor junior engineers on modern data‑engineering standards

Application process

Round 1: Meet the team Tech assessment and experience (60min) Deep dive into your technical projects and a technical assessment that may include live coding
Round 2: Meet the CoFounder, CAIO (Dan) Tech experience and case study (45min) Deep dive into your technical projects and a hypothetical technical problem to talk through live
Round 3: Meet the CoFounder, CEO (Tomas) Entrepreneurship Experience (30min) Deep dive into your experience building new products and working in high-growth environments

Our take

Sales & operations planning (S&OP) is one of the most important aspects of consumer brands. However, siloed data, long planning cycles and stretched-thin teams mean it's hard for these teams to keep up with the pace of business.

Sciemo is building AI systems to remedy the problems faced by S&OP teams. Having only launched in 2025, it's a young company with big ideas to change the way brands operate. It's combining machine learning, GenAI, and automation to create integrated AI systems that can turn scattered data into clear insights.

Steph

Company Specialist at Welcome to the Jungle

Company

Leadership

Tomas Thire

(Co-Founder & CEO)

Previously spent 4 years at Mastercard as the Head of Technology Strategy, Transformation and Internal AI and as the Head of AI. Prior to that, they spend almost 9 years at McKinsey & Company, joining as an Associate before becoming an Engagement Manager, then Associate Partner.

Dan Wald

(Co-Founder & CAIO)

Previously a VP of Applied AI at Mastercard, a Senior Director of Strategy & Analytics at BentoBox, a Principal/Analytics Functional Partner at Five Below, and a Specialist in Data Science, Marketing & Sales at McKinsey & Company.

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