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• Lead the systems, integrations, and operational infrastructure supporting business operations across the company. • Manage tier-1 IT support and resolve day-to-day issues with internal tools. • Design data flows and integrations across systems while leading projects and supporting AI tooling. • Collaborate with Operations, Finance, and Legal departments for efficiency. • Handle occasional off-hours responsibility for critical system outages. • Aim to establish a centralized internal knowledge base, audit internal platforms, enhance identity and access management, assess readiness for SOC 2, and create sustainable IT operational processes.
• Design, configure, and maintain AI agent workflows • Research and evaluate new approaches to agent orchestration • Guide and review AI-generated code with a critical eye • Build and maintain a RAW → Base → Data Marts pipeline • Own data pipelines end to end, from API ingestion through transformation and QA • Write and maintain tests and documentation at every layer of the pipeline • Build comprehensive test suites using Great Expectations or equivalent tooling • Implement business logic validation checks and automated quality monitoring • Implement complex business logic and data validation in Python • Build ETL scripts, automation workflows, and API integration scripts
Cortica, established in 2014, is a leading provider of advanced neurological therapies for children with autism and other developmental differences. The company
Role Description The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: - Gathering stakeholder requirements - Designing the solution - Building and testing it - Shipping it to production This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer. The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode. Qualifications - 5+ years of hands-on data engineering experience, including building and operating production data pipelines - Expert-level Python skills for ETL, pipeline orchestration, and automation - Deep SQL proficiency — query optimization, data modeling, stored procedures - 2+ years’ experience working with AI first development workflows - 4+ years’ experience with AWS (S3, Glue, Lambda, Redshift) and/or Azure big data services - 1+ year of experience with Snowflake - 2+ years of experience with orchestration frameworks - 2+ years of Salesforce experience with Apex and configurations - Experience with Kimball dimensional modeling — building star schemas and conformed dimensions in production - Power BI (or equivalent BI tool) experience — data model design and report development - API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar) - Application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) Requirements - Engage stakeholders directly to gather, clarify, and document project requirements - Translate requirements into architected data solutions - Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production - Deploy solutions to production and monitor post-deployment health - Run parallel AI coding sessions across different facets of a pipeline simultaneously - Build and maintain context files for data projects - Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors - Build MCP (Model Context Protocol) or equivalent integrations - Design and build complex, reliable data pipelines ingesting from various sources - Implement and evolve data models using Kimball methodology - Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies - Develop and maintain orchestration workflows in Python, and AWS Glue - Continuously evolve the data schema as business and engineering requirements change - Build and support Power BI data models and reports - Work with data analysts and data scientists to build reusable, well-documented pipeline components - Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements - Build lightweight internal data applications and tooling - Design for agentic workflows - Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns - Ensure data security and HIPAA compliance in all pipeline and application work - Document decisions, tradeoffs, and architecture clearly - Collaborate across IT, finance, clinical operations, and data science Benefits - Medical, dental, and vision insurance - 401(k) plan with company matching and rapid vesting - Paid holidays and wellness days - Life insurance and disability insurance options - Tuition reimbursements for professional development and continuing education - Referral bonuses Company Description Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team.
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Role Description Carrot is seeking a detail-oriented and analytically driven Global Payment Operations Specialist to join our growing team. In this role, you’ll help ensure the accuracy and efficiency of global payment processing while partnering closely with Customer Success and Member Success teams. You’ll also have opportunities to improve operational workflows, create or refine process documentation, and contribute to automation, scalability, and product enhancements that strengthen Carrot’s global payment experience for our members. Qualifications - Bachelor's degree in Economics, Finance, Business Administration or related field - 2+ years of professional experience in payment operations at a fintech or payments company or equivalent experience in banking - Strong understanding of payment processing workflows, including cross-border payments, currency conversions, and reconciliation - Experience working with payment platforms such as Stripe, Modern Treasury, Airwallex, and Corpay - High level of integrity, initiative, motivation and curiosity - Strong analytical skills, detail-oriented, and solid ability to communicate verbally and in writing - Strong knowledge of Microsoft Excel and/or Google Sheets - Comfort working and communicating with cross-functional teams and outside customers - Self-starter with the ability to effectively plan, coordinate, and deliver results with minimal guidance Requirements - Knowledge of payment and compliance standards, including Nacha, cross-border payments, IAT, PPD, CCD, and OFAC guidelines - Experience handling high-volume money movement or transactional payments under tight deadlines - Experience with NetSuite or similar ERPs - Process-oriented mindset with a focus on efficiency and automation; experience developing best practices and creating scalable systems - Passion for Carrot’s mission and enthusiasm for contributing to a collaborative, dynamic team environment Benefits - Holistic Total Rewards package designed to support employees in all aspects of their life inside and outside of work - Health and wellness benefits - Retirement savings plans - Short- and long-term incentives - Parental leave - Family-forming assistance - Competitive compensation package - Starting base salary for this position will range from $70,000-$80,000 Fraud and Security Notice Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com Why Carrot? Carrot has received national and international recognition for its pioneering work, including: - Fast Company's Most Innovative Companies and World Changing Ideas - Inc. Power Partners - Modern Healthcare’s Innovators - Fortune’s Best Workplaces in Healthcare - Great Place to Work - Age-Friendly Employer certifications Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation.
Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
• Create data pipelines that make data available for analytic and application use cases • Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly • Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team • Leading projects from a technical standpoint, creating project Technical Design Documents • Support data analysts and analytics engineers ability to meet the needs of the organization • Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices • Build or implement tooling around data quality, governance and lineage, in the dbt framework and Snowflake but external to that as needed • Provide next level support when data issues are discovered and communicated by the data analysts • Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users • Enable analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together.
Role Description The Complex Data Exchange Specialist is responsible for managing the overall process, practice, and project implementation of electronic data interfaces with New York Life clients in support of Life, Accident, Disability, Family Medical Leave products, and various service offerings, with a strong focus on National Accounts and highly complex data integrations. This role serves as both a technical and consultative resource, ensuring high-quality data exchange while educating clients on how their data powers downstream services including administration, billing, eligibility, enrollment, and reporting. - Manage multi-file data environments where multiple client files must be validated, sequenced, reconciled, and merged. - Drive inventory control of active interfaces and milestone management in partnership with internal and external stakeholders. - Demonstrate strong analytical capabilities to audit incoming files across multiple data sources, identify discrepancies or systemic errors, and implement corrective actions. - Partner closely with Implementation IT, Family Medical Leave Operations, Account Management, and external Ben Tech vendors. - Act as a leader among peers by contributing expertise, mentoring team members, and driving process improvements. What You'll Do - Integrate with TPAs and Ben Tech partners in support of eligibility, enrollment, remittance, and billing data for new and inforce business. - Serve as a consultative partner to clients and TPAs by educating them on data structure, file specifications, and the operational impact of their data. - Implement complex electronic interfaces based on established timelines while maintaining strict inventory control. - Manage multi-file integration environments, ensuring files are received, validated, and sequenced appropriately. - Review, audit, and validate test data across multiple related files and data sources. - Identify root causes of file discrepancies, mapping errors, transmission issues, or data inconsistencies. - Understand and articulate end-to-end data flow within New York Life systems. - Balance New York Life/LDEX standards with client requirements to deliver compliant solutions. - Prepare and maintain documentation confirming the method of data exchange. - Partner with Production Support and IT to ensure successful receipt, mapping, merging, and processing of data. - Articulate complex file mapping and merge logic requirements clearly to IT and technical partners. - Drive accountability with internal teams and Ben Tech partners to meet key deliverables. - Troubleshoot and diagnose issues related to electronic data exchange. - Track file status and ensure metrics are reported accurately within Salesforce. - Develop and maintain support documentation, SOPs, and training materials. - Proactively review and suggest improvements to existing procedures. - Serve as a subject matter expert for complex data exchange implementations. Qualifications - Bachelor’s Degree strongly preferred or minimum of 3 years relevant work experience required. - Prior experience working with clients, producers, TPAs, or Ben Tech partners preferred. - Strong understanding of complex data structures, file layouts, and electronic transmission methods preferred. - Demonstrated ability to analyze, audit, and interpret complex and high-volume data files. - Experience managing file dependencies, merge logic, and reconciliation across multiple data sources preferred. - Strong planning, project management, and inventory control skills. - Proficient/advanced Microsoft Excel skills required (VLOOKUP, Pivot Tables, Macros). - Proficiency in Access preferred. - Experience with mainframe TSO and JCL scripting preferred. - Excellent organizational skills with ability to manage multiple complex implementations simultaneously. - Excellent written and verbal communication skills. - Strong interpersonal and consultative skills. - Demonstrated ability to drive results and meet key milestones. - Ability to work independently while collaborating effectively across internal business partners. - Demonstrated leadership capability in a fast-paced, evolving environment. - Proven adaptability and willingness to embrace change and continuously improve processes. Pay Transparency - Salary Range: $81,000-$115,500 - Overtime eligible: Exempt - Discretionary bonus eligible: Yes - Sales bonus eligible: No Benefits - Full package of benefits for employees, including leave programs, adoption assistance, and student loan repayment programs. - Continuous refinement and addition of benefits based on employee feedback.
Unqork is no-code computer software platform that is on a mission to reimagine the way businesses develop, launch, and manage enterprise-grade applications. As
• Act as a player-coach, providing technical direction, architectural guidance, and daily mentorship to a focused team of 3–5 engineers. Conduct thoughtful code reviews and foster professional growth within your squad. • Design and implement sophisticated Data Access Layers (DAL) and custom ODMs to translate platform-generated, SQL-like queries into high-performance MongoDB BSON operations and aggregation pipelines. • Build and maintain middleware that ensures Unqork’s core business logic remains storage-agnostic, enabling seamless modularity and flexibility across different data storage mechanisms. • Architect and scale a multi-tenant, secure MongoDB ecosystem. Lead strategies for ensure high availability while performing deep-dive execution plan analysis (IXSCAN vs. COLLSCAN) to optimize query performance. • Plan and architect hybrid data architectures to support operation, transactional and analytical schema and database systems. • Use Node.js and JavaScript to build robust microservices (typically GraphQL) and internal libraries that integrate dynamic, metadata-driven data patterns into the Unqork no-code runtime. • Design schemas and declarative models that allow non-technical users to build complex application logic without compromising data integrity or system performance. • Architect real-time and batch data pipelines using Apache Kafka and Spark to facilitate data transformation and movement between relational and NoSQL systems. • Partner with Platform and Backend engineers to standardize data interaction patterns, ensuring high-scale, API-driven performance across the entire enterprise cloud. • Partner closely with the Product Management team to influence the product roadmap, translate business requirements into technical specifications, and ensure alignment between product goals and engineering execution
• Lead and provide expert support for data collection, data validation, data visualization, and analytics initiatives • Apply disciplined methodologies for the planning, analysis, design, and development of information systems on an enterprise-wide basis or across a business sector • Develop analytical techniques and methodologies to solve complex business and technical problems • Perform strategic systems planning, business information planning, and business analysis • Organize and analyze large volumes of structured and unstructured data sets using data analytical tools • Locate, access, merge, clean, and standardize data from multiple sources, and develop derived metrics • Create and implement data collection and analysis tools using programming languages such as Python, Databricks, SQL, Scala, R, and Java • Design, script, debug, and analyze data engineering solutions • Implement and create machine learning-based tools and processes • Apply distributed and parallel processing technologies (e.g., Spark) to handle big data analytics tasks involving large data volumes • Perform SQL Server data imports from CSV and TXT files • Leverage Excel and Google Suite for data analysis, reporting, and collaboration • Utilize supporting tools and platforms such as Pentaho (data import/transformation), Azure Data Studio, GitHub, and Smartsheet as needed • Document task requirements, work completed, processes, and technical details thoroughly • Communicate effectively with stakeholders across technical and business teams • Operate independently as a subject matter expert in a fast-paced, entrepreneurial environment
Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
Role Description The Data & Analytics team consists of data analysts, data engineers, and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data here at Mediavine. A Data Engineer at Mediavine will help build and maintain our data infrastructure, including: - Building scalable data pipelines - Managing transformation processes - Ensuring data quality and security at all steps - Writing and maintaining code in Python and SQL - Developing on AWS - Selecting and using third-party tools like Rundeck, Metabase, and others Essential Responsibilities include: - Create data pipelines that make data available for analytic and application use cases - Develop self-healing, resilient processes - Create meaningful data quality notifications - Lead projects from a technical standpoint, creating project Technical Design Documents - Support data analysts and analytics engineers - Participate in code reviews - Build or implement tooling around data quality, governance, and lineage - Provide next-level support for data issues - Work with data analysts and analytics engineers to standardize transformation logic - Enable analytics engineers and data analysts by providing data modeling guidance Qualifications - 3+ years of experience in a data engineering role - Strong Python skills (understands tradeoffs, optimization, etc.) - Strong SQL skills (CTEs, window functions, optimization) - Experience working in cloud environments (AWS preferred, GCS, Azure) - Experience managing complex dbt environments with hundreds or more flows - Understanding of how to best structure data for analytics - Familiarity with calling APIs to retrieve data - Experience working with DevOps to deploy, scale, and monitor data infrastructure - Scheduler experience either traditional or DAG based - Experience using LM-powered tools for code generation, documentation, and architectural diagramming - Comfortable working with multi-TB cloud data warehouses (Snowflake preferred) - Experience with other DBMS systems (Postgres in particular) - Ability to travel up to approx 15% Requirements - Experience with web analysis such as creating data structures that support product funnels, user behavior, and decision path analysis - Understanding of Snowflake external stages, file formats, and snowpipe - Experience managing the semantic layer in either dbt or Snowflake - Experience with orchestration tools across different technologies and stacks - Knowledge of Ad Tech, Google Ad Manager - The ability to make your teammates laugh - Familiarity with event tracking systems (Snowplow, etc.) - Experience with one or more major BI tools (Omni, Sigma, Metabase, etc.) Benefits - 100% remote - Comprehensive benefits including Medical, Dental, Vision, Disability, and Life Insurance - 401(k) with company matching - Generous PTO - Wellness initiatives and employer-sponsored mental health resources - Professional development opportunities - Inclusive, collaborative, and entrepreneurial company culture
Hexion is a global manufacturer of thermoset resins and specialty products for a broad range of industrial and consumer markets. The company, formerly known as Momentive Specialty
Title: Data Engineering Specialist Location: Columbus, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview This is a US Remote position. Hexion is a global leader in specialty chemicals, delivering innovative solutions that improve performance, sustainability, and operational excellence across industries. As part of Hexion’s digital transformation strategy, we are building a next-generation industrial edge-to-cloud platform that integrates operational technology (OT), industrial data, advanced analytics, AI, and digital twin technologies to drive manufacturing performance and create scalable customer-facing solutions. We are seeking a Principal Manufacturing IOT & OT Security Architect to establish the security architecture and governance framework that enables industrial AI and analytics while protecting critical manufacturing operations. The Principal Manufacturing IOT & OT Security Architect is responsible for defining and governing the secure integration of industrial control systems, edge computing, cloud platforms, digital twins, and AI-driven applications across Hexion’s manufacturing environments. This role serves as the primary authority for industrial cybersecurity architecture and will ensure that all digital manufacturing initiatives align with: - Purdue Enterprise Reference Architecture - IEC 62443 Industrial Security Standards - NIST Cybersecurity Framework - NIST SP 800-82 Industrial Control Systems Guidance - Corporate security policies and regulatory requirements The successful candidate will establish secure patterns for moving operational data from manufacturing environments into cloud platforms while enabling advanced analytics, machine learning, digital twins, and future autonomous operations. This role requires balancing security, operational reliability, and business innovation while maintaining the integrity and availability of critical manufacturing systems. Job Responsibilities Industrial Security Architecture Leadership - Define and govern enterprise-wide industrial security architecture standards - Establish secure edge-to-cloud connectivity patterns - Develop reference architectures for industrial AI, digital twins, and advanced analytics - Define approved deployment patterns for manufacturing environments - Serve as the primary architectural authority for OT cybersecurity initiatives Purdue Model & Industrial Network Architecture - Design and govern solutions across Purdue Levels 0 through 5 - Define segmentation and trust boundaries between: - - Control Systems - Manufacturing Operations - Industrial DMZ - Enterprise Networks - Cloud Platforms - Establish secure communication paths between operational and enterprise environments - Develop strategies for secure remote access and vendor connectivity Secure Industrial Data & AI Architecture - Define approved architectures for: - - Industrial data collection - Historian integration - Industrial IoT - Edge analytics - AI model deployment - Digital twin environments - Ensure operational data can be securely leveraged for: - - Predictive maintenance - Process optimization - Reliability engineering - Advanced analytics - Establish governance for AI deployment within manufacturing environments Competencies Edge Computing & Industrial IoT Security - Define secure deployment patterns for: - AWS IoT Greengrass - IoT SiteWise - IoT TwinMaker - Edge gateways - Industrial data brokers - Establish device identity and certificate management standards - Define secure software deployment and update mechanisms for edge environments - Ensure secure operation during network interruptions and disconnected operations Security Governance & Compliance - Establish cybersecurity controls aligned with: - IEC 62443 - NIST CSF - NIST SP 800-82 - Corporate standards - Conduct architectural security reviews for digital manufacturing initiatives - Define risk assessment methodologies for industrial systems - Partner with Corporate Cybersecurity teams to ensure alignment between IT and OT security programs Platform & Product Security - Define security architecture for multi-tenant industrial software platforms - Establish customer data isolation requirements - Define identity and access management strategies - Establish customer-managed key and encryption architectures - Define audit logging and compliance requirements for industrial SaaS solutions Cross-Functional Leadership Partner closely with: - Principal Manufacturing & Semantic Architect - Principal Industrial AI Data Architect - Principal Edge & OT Architect - Platform Engineering Teams - Manufacturing Operations - Reliability Engineering - Corporate Cybersecurity - External Customers and Partners Minimum Qualifications - Bachelor’s degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related discipline; Associate's Degree with experience in process manufacturing will be considered - 7+ years of experience in: - Industrial Control Systems - Operational Technology - Industrial Cybersecurity - Manufacturing Architecture - Deep expertise in: - Purdue Enterprise Reference Architecture - Industrial Network Segmentation - IEC 62443 - NIST Cybersecurity Framework - NIST SP 800-82 - Experience with: - PLCs - DCS platforms - SCADA systems - Industrial Historians - Manufacturing Execution Systems - Experience designing secure architectures for: - - Industrial IoT - Edge Computing - Cloud Integration - Digital Manufacturing Platforms Preferred Qualifications - Experience with: - AWS IoT Greengrass - Industrial Digital Twin platforms - Familiarity with: - ISA-95 - ISA-88 - CFIHOS - Industrial AI and Machine Learning deployments - Relevant certifications such as: - GICSP - CISSP - ISA/IEC 62443 Cybersecurity Expert - AWS Security Specialty Leadership Experience - - Operate as the enterprise authority for industrial security architecture - Influence organizational strategy without direct authority - Balance innovation and risk management - Drive adoption of secure-by-design principles across all digital manufacturing initiatives - Establish reusable security patterns that accelerate deployment while maintaining compliance Success Measures - Success in this role will be measured by: - Adoption of standardized edge-to-cloud security patterns - Compliance with industrial cybersecurity frameworks - Reduction of cybersecurity risk across manufacturing environments - Secure enablement of industrial AI and analytics initiatives - Successful deployment of scalable digital manufacturing platforms - Elimination of ad hoc OT-to-cloud integrations Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
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SQL, Python, AWS, Azure, Amazon Redshift, Cloud
