Sr. Data Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 150 - 200
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
about sciemo
Sciemo builds AI for consumer goods: technology that helps businesses make faster smarter and more human decisions across the entire Sales and Operations Planning (S&OP) cycle. From optimizing promotions to balancing demand and supply Sciemos platform transforms messy siloed data into measurable business impact. Its AI agents assist decision-makers in real-time turning complexity into clarity. We are headquartered in New York City.
overview
We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning generative AI agent-based systems and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.
We are looking for our Founding Senior Data Engineer responsible for designing and maintaining the cloudnative data platform that powers our analytics and ML products.
role
The Founding Senior Data Engineer owns the endtoend data pipeline lifecyclefrom sourcesystem 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 businessready data sets that accelerate product innovation. You will be reporting to Dan Wald Co-Founder & CAIO.
responsibilities
Cloud Data Pipeline Design & Development:
Build scalable costeffective 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 businessspecific 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 endtoend traceability.
Enforce data governance and controlplane policies using AWS Lake Formation or equivalent aligning with SOC 2 ISO 27001 GDPR and CCPA requirements.
Champion dataquality 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 realtime data access.
Document data models publish best practices and mentor junior engineers on modern dataengineering standards.
all about you
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.
location
Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
benefits & perks
Check out our one pager!
interview round
Phone Screen
Hiring Manager
Founders Interview
equal opportunity employer
We are an equal opportunity employer and consider applicants without regard to gender gender identity sexual orientation race ethnicity disability veteran status or any other characteristic protected by law. We actively encourage diversity inclusion and equitable hiring practices.
If you require accommodations during the hiring process please reach out to our recruitment team at
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
