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Curated Jobs (NOW HIRING)

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

This role will design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets, create semantic models that LLM tools can use reliably, and partner with data ...

IntegriChain

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

This role will design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets, create semantic models that LLM tools can use reliably, and partner with data ...

Sonny's Enterprises LLC

$105K - $143K/yr

SAP and manufacturing data modeling; curated outputs for reporting and AI/BI; and the transformation layer that supports forecasting, process automation, and internal applications. This role is the ...

Sonny's Enterprises LLC

Senior Data Engineer

$108K - $147K/yr

SAP and manufacturing data modeling; curated outputs for reporting and AI/BI; and the transformation layer that supports forecasting, process automation, and internal applications. This role is the ...

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How much do curated jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for curated in the United States is $14.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $15.38 per hour, depending on experience, location, and employer.

What is the difference between Curated vs Content Curator?

AspectCuratedContent Curator
Required credentialsExperience in curation, industry knowledgeExperience in content management, digital tools
Work environmentArt, fashion, lifestyle, or niche industriesDigital media, online platforms, social media
Employer usageGalleries, boutiques, specialty shopsMedia companies, marketing agencies, online brands
Search intentUnderstanding curation practices, industry rolesManaging digital content, social media strategy

While both roles involve selecting and organizing content or items, a Curated typically focuses on physical or niche collections in industries like art or fashion, emphasizing aesthetic and thematic coherence. A Content Curator manages digital content, overseeing online platforms and social media, with a focus on digital strategy and audience engagement. Understanding these differences helps job seekers and employers align expectations and skills for each role.

What is a curated?

Curated jobs typically refer to positions or job listings that have been carefully selected or organized to match specific criteria, such as industry relevance, quality, or candidate fit. These jobs are often featured on specialized job boards or platforms that focus on providing high-quality opportunities, saving job seekers time by filtering out less relevant postings. Curated jobs may also involve roles where professionals help clients by offering personalized recommendations or expert advice in a particular niche. The goal is to connect job seekers or customers with the most suitable opportunities or products, often with a higher level of support or expertise.

What are the typical responsibilities and daily tasks for a curator working in a museum or gallery setting?

Curators in museums or galleries are responsible for acquiring, researching, and managing collections of artwork or historical artifacts. On a daily basis, they might organize exhibitions, develop educational programs, and collaborate with conservators to ensure proper preservation of items. Curators also often work closely with other departments, such as marketing and education, to enhance visitor engagement and promote upcoming exhibits. Additionally, their role may involve grant writing, donor relations, and keeping up-to-date with trends in their field to continually enrich the collection.

What are the key skills and qualifications needed to thrive as a curator, and why are they important?

To thrive as a Curator, you need a solid background in art history, museum studies, or a related field, often supported by a relevant degree or advanced certification. Familiarity with collection management systems, digital archives, and exhibition design software is typically required. Strong research abilities, attention to detail, and effective communication are valuable soft skills for engaging audiences and collaborating with stakeholders. These qualifications ensure the thoughtful preservation, interpretation, and presentation of collections, which are essential for educational and cultural enrichment.

What is a curated job?

A curated job refers to a position that has been carefully selected and organized by recruiters or platforms to match specific skills, experience, or industry standards. These jobs often involve targeted filtering to present relevant opportunities to candidates, streamlining the job search process.
More about Curated jobs
What cities are hiring for Curated jobs? Cities with the most Curated job openings:
What states have the most Curated jobs? States with the most job openings for Curated jobs include:
What job categories do people searching Curated jobs look for? The top searched job categories for Curated jobs are:
Curated jobs near you
Infographic showing various Curated job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 53% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $30,279 per year, or $14.6 per hour.

AI Data Engineer

IntegriChain

Philadelphia, PA • On-site, Remote

$115K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago

Job description

Company Description
IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes - freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.
We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.
This role offers flexibility, but candidates must reside in Pennsylvania, New Jersey, or New York and be within a reasonable travel distance of our Philadelphia office, as regular in-person collaboration is required.
Job Description
Mission
Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets, create semantic models that LLM tools can use reliably, and partner with data science, product, and engineering teams to convert data dictionaries and business definitions into AI-ready data products. The ideal candidate is a strong data engineer with deep Snowflake/dbt experience and a practical understanding of how semantic layers, ER relationships, denormalized models, and metadata quality influence LLM and agent performance.
Position Overview
  • Snowflake and dbt engineering: Design, build, optimize, and operate Snowflake pipelines and dbt models across raw, curated, and gold-layer datasets.
  • AI-ready semantic modeling: Create semantic models, relationships, metrics, dimensions, and curated views that allow LLM tools and agents to answer questions accurately.
  • Data dictionary-driven delivery: Translate team-defined data dictionaries, business definitions, and source mappings into tested, governed, and reusable data products.
  • Agent consumption focus: Design datasets for AI agents, natural-language analytics, Snowflake Cortex Analyst, and other LLM-powered tools.
  • Enterprise data modeling: Balance normalized source models, ER relationships, dimensional models, denormalized consumption layers, and semantic-layer needs.

Key Responsibilities
Snowflake, dbt, and Data Pipeline Development
  • Build reliable data pipelines from raw source data through curated silver layers and business-ready gold layers using Snowflake and dbt.
  • Develop modular dbt models, tests, documentation, exposures, and lineage-friendly transformation patterns.
  • Implement incremental processing, snapshots, audit columns, reconciliation, data quality checks, and restartable pipeline patterns.
  • Optimize Snowflake SQL and dbt workloads for performance, scalability, cost, and maintainability.
  • Work with orchestration and DevOps/SRE teams to support CI/CD, environment promotion, pipeline monitoring, and operational runbooks.

Semantic Models and AI-Ready Data Products
  • Create Snowflake semantic models and curated views that support accurate natural-language querying through Snowflake Cortex Analyst and related LLM tools.
  • Translate approved data dictionaries into semantic model dimensions, facts, metrics, synonyms, descriptions, relationships, and business rules.
  • Design ER relationships and join paths that are explicit, accurate, and easy for semantic-layer tools and AI agents to use.
  • Create denormalized or consumption-optimized models where appropriate to reduce ambiguity and improve LLM answer quality.
  • Partner with AI developers to understand tool schema needs, agent workflows, and how data model design affects LLM tool performance.

Data Modeling, Integration, and Consolidation
  • Design logical and physical models that support enterprise data consolidation, analytical reporting, AI workflows, and business operations.
  • Work across source systems, files, APIs, cloud storage, operational systems, and analytical platforms to integrate data into Snowflake.
  • Create reusable patterns for source-to-target mapping, schema evolution, master/reference data alignment, and data product publishing.
  • Collaborate with business and technical stakeholders to validate data definitions, grain, relationships, hierarchies, and measures.
  • Support data consolidation across Integrichain by rationalizing overlapping datasets and aligning enterprise definitions.

Snowflake Cortex and AI Platform Enablement
  • Understand Snowflake Cortex capabilities, including Cortex Analyst, Cortex Complete, semantic views/models, and metadata-driven AI workflows.
  • Prepare data models and semantic layers for accurate LLM usage, including clear naming, descriptions, relationships, metrics, and governance metadata.
  • Support AI Explorer and similar applications by ensuring curated datasets are reliable, performant, explainable, and governed.
  • Partner with AI and application teams to troubleshoot semantic model issues, poor AI answers, ambiguous joins, missing metadata, or incorrect measures.
  • Contribute to standards for AI-ready data design, semantic model review, data dictionary alignment, and LLM-friendly data modeling.

Qualifications
  • 6+ years of experience in data engineering, analytics engineering, database engineering, or data platform development in production environments.
  • Strong hands-on experience with Snowflake, including SQL development, performance tuning, security-aware design, cost optimization, and large-volume processing.
  • Strong hands-on experience with dbt or comparable ELT tooling, including models, tests, documentation, lineage, and environment promotion.
  • Experience building raw-to-curated-to-gold data pipelines and business-ready datasets.
  • Strong SQL and Snowflake development skills, including complex transformations, views, stored procedures/Snowflake Scripting, and query optimization.
  • Experience creating semantic layers, semantic models, metrics, dimensions, relationships, and curated analytical views.
  • Good understanding of ER modeling, dimensional modeling, denormalized consumption models, and data grain management.
  • Experience translating data dictionaries and business definitions into physical models, dbt models, and semantic-layer definitions.
  • Understanding of Snowflake Cortex capabilities such as Cortex Analyst, Cortex Complete, and semantic-model-driven natural-language querying.
  • Ability to partner with data science, product, engineering, and business teams to deliver AI-ready data products.

Preferred Experience
  • Experience in life sciences, healthcare, pharma commercialization, MDM, patient data, channel data, or commercial data platforms.
  • Experience with Snowflake semantic views, Cortex Analyst, Cortex Search, or other AI/LLM data platform capabilities.
  • Experience with data quality frameworks, metadata management, data observability, and lineage tooling.
  • Experience with orchestration tools such as dbt Cloud jobs, Airflow, Dagster, cloud-native schedulers, or similar platforms.
  • Experience with Python for data automation, metadata processing, testing, or API integrations.
  • Experience designing governed data products for BI, AI/ML, natural-language analytics, or agentic applications.
  • Snowflake SnowPro, dbt certification, or equivalent data engineering credentials.

Additional Information
What does IntegriChain have to offer?
  • Mission driven: Work with the purpose of helping to improve patients' lives!
  • Excellent and affordable medical benefits + non-medical perks including Student Loan Reimbursement, Flexible Paid Time Off and Paid Parental Leave
  • 401(k) Plan with a Company Match to prepare for your future
  • Robust Learning & Development opportunities including over 700+ development courses free to all employees

#LI-ZG1
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
Our policy on visa sponsorship for US based positions: Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain.
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