Role Description Irth is developing a unified Databricks-based Lakehouse platform to consolidate and govern data across multiple cloud environments and products. As a Data Engineer, you will play a hands-on role in implementing scalable data pipelines, applying governance and quality standards, and supporting the enterprise data architecture. You will work closely with the Senior Data Architect to build reliable, secure, and high-performance data pipelines using Databricks, Spark, and cloud-native technologies. This role is ideal for mid-level engineers looking to expand their expertise in Databricks, Spark, Delta Lake, and modern lakehouse architecture. Data Pipeline Development - Build and maintain ingestion pipelines across AWS, Azure, and GCP. - Implement batch and streaming pipelines using Databricks, Spark/PySpark, SQL, Delta Live Tables, and Lakeflow. - Apply medallion architecture patterns for structured data transformation. - Implement CDC, SCD Type 1/2, schema evolution, and data validation. Platform & Storage Implementation - Manage Delta Lake storage, tables, partitions, and performance optimization (OPTIMIZE, Z-ORDER, VACUUM). - Support metadata management, lineage tracking, and cataloging using Unity Catalog. - Assist with multi-cloud integrations between cloud storage platforms and Databricks. Governance, Quality & Compliance - Implement data quality validation, profiling, and monitoring aligned with governance standards. - Apply security controls including RBAC, encryption, and data classification. - Support metadata and lineage implementation using Unity Catalog, Purview, or similar tools. Orchestration, Automation & Operations - Build and manage workflows using Databricks Workflows, Delta Live Tables, Azure Data Factory, or similar tools. - Support CI/CD pipelines, code versioning, and deployment automation. - Assist in troubleshooting, pipeline recovery, and performance tuning. Collaboration & Documentation - Work closely with the Senior Data Architect to implement architecture designs. - Participate in design reviews and technical discussions. - Document pipelines, data models, transformation logic, and operational procedures. Qualifications - 3–5 years of experience in data engineering, ETL, or cloud data platforms. - Experience with Databricks, Spark, PySpark, or distributed data processing. - Strong SQL and structured data transformation skills. - Experience with at least one cloud platform (Azure preferred; AWS/GCP acceptable). - Knowledge of data modeling, schema evolution, pipeline troubleshooting, and data quality. - Understanding of security practices including RBAC, encryption, and credential management. Preferred - Experience with Delta Lake, medallion architecture, and lakehouse design. - Familiarity with Unity Catalog, Purview, Glue Catalog, or similar tools. - Experience with orchestration tools (ADF, Airflow, Databricks Workflows). - Experience with Git, CI/CD, and DevOps practices. - Knowledge of Power BI, geospatial data, or AI/ML data preparation. - Relevant cloud or Databricks certifications (DP-203, Data Engineer Associate, etc.). Education - Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience. Benefits - Being an integral part of a dynamic, growing company that is well respected in its industry. - Competitive pay based on experience.

Role Description The Supervisor of Provider Data Management (PDM) is responsible for the direct oversight of the PDM team, ensuring accurate, completeness, and timely provider data updates across the organizations’ various environments. This role will be the operational anchor and functional owner of the day-to-day activities of the team, to include: - Inventory management and reporting - Assignment management - Team support, development, and training - Performance monitoring and escalation resolution Beyond primary and ongoing tasks, this role also proactively identifies and assists in resolution design for systemic inefficiencies, while driving process improvement opportunities, and acting as a key bridge between the PDM team and cross-functional partners. The purpose of this role is to leverage data to inform decision-making, improve team efficiency, accuracy, and overall performance. Where you will have an impact - Conduct daily routines to assess key metrics, including associate availability, incoming request volume, and current queue inventories to maintain database integrity. - Triage the daily operations of the PDM team, managing workflows, assigning tasks, and monitoring queues to ensure adherence to established Service Level Agreements (SLAs). - Function as a Subject Matter Expert (SME) on provider data, leading root cause analysis on data errors and implementing corrective and preventative action plans. - Ensure provider data is following all relevant federal and state regulations, including CMS, NCQA standards, and client agreements by developing and maintaining standards for database integrity and quality assurance. - Develop and maintain comprehensive process documentation, training materials, and standard operating procedures (SOPs) for the PDM team. - Drive quality program adherence and provide coaching based upon the data made available by way of the program. - Engage in training and education opportunities to improve quality and effectiveness. - Act as a liaison and foster collaborative relationships for internal departments and external partners, resolving escalated issues and ensuring a seamless flow of provider data. - Lead discussions with management to align on daily priorities, resource deployment, and clearly communicate all new assignments and delivery commitments to the PDM associates. - Assemble and deliver an operational dashboard to PDM leadership to guide team priorities, resource deployment, and KPIs. - Actively review and react to feedback from audits, error logs, and quality metrics, translating insights into actionable steps for the team. - Perform other duties as the needs of the organization necessitate. Qualifications - Bachelor’s degree in business, Health Care Management or other related field preferred or in lieu of a degree, an equivalent combination of work experience and education. - Previous supervisory experience in a relevant operational environment preferred. - 2 years of experience in provider/network data management or a related healthcare setting. - Experience with ticketing systems, CRM, dashboard/data visualization tools. - Strong analytical skills with the ability to interrogate large datasets and identify trends. - Strong oral and written communication skills. - Excellent analytical ability. - Proficient in Microsoft Office suite. Requirements - All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI). - Associates may have access to covered information, cardholder data, or other confidential customer information which must be protected at all times. - Associates must explicitly adhere to all data security guidelines established within the Company’s Privacy & Security Training Program. Benefits - Comprehensive Total Rewards package, including health and dental insurance. - Tuition reimbursement. - 401(k) with company match. - Pet insurance. - No-cost-to-you vision insurance for you and your qualified dependents. - Opportunities for advancement and development throughout all stages of your career. Company Description Versant Health is one of the nation’s leading administrators of managed vision care, serving millions of our clients’ members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.

ABOUT BESTOWLife insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that. Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit E-Verify.gov. ABOUT THE TEAMThe Bestow Data Engineering team plays a significant role within the organization, working across the entire company to provide scalable data solutions within the platform and toward integrations with external partners. The data engineering team works closely with internal analytics and data science team members in order to improve data architecture, rapidly prototype, and serve data science predictions. In addition, data engineers work closely with stakeholders, members from product, and engineering to design and launch new systems for extracting, transforming and storing data. You’ll be called upon to improve Bestow’s data reliability, efficiency and quality and will be expected to scale your solutions to the cloud environment of a SaaS company, iterate quickly, and make pragmatic choices around what tools and technologies to adopt. WHAT YOU’LL DOAs a Staff Data Engineer, you will serve as a technical leader and strategic advisor for Bestow's data infrastructure and architecture. You will drive the long-term vision for our data platform while mentoring engineers and influencing technical decisions across the organization. Technical Leadership & Strategy - Define and drive the technical roadmap for data infrastructure, establishing architectural patterns and standards that scale across the organization - Lead the design and implementation of complex, multi-system data architectures that support business-critical operations and enable innovation (data ingestion + export and delivery) - Evaluate and champion adoption of emerging technologies and best practices in data engineering, MLOps, and GenAI - Establish data governance frameworks, quality standards, and operational excellence practices across all data workloads - Drive cross-functional initiatives that require coordination between data, product, engineering, and business teams Architecture & Systems Design - Architect enterprise-scale data solutions for transferring data from first and third-party applications to and from our data warehouse - Design and oversee the development of robust, scalable APIs (REST, GraphQL, gRPC) that enable data access for internal teams and external partners - Lead the evolution of event-driven and API-first data architectures that support real-time data sharing and integration - Leverage Google Cloud (GCP) tools (Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (Astronomer - Apache Airflow) to architect and bring enterprise data workloads to production - Design resilient, self-healing data systems with comprehensive monitoring, alerting, and automated remediation - and participating as part of an on-call rotation. - Lead the evolution of our data platform on Google Cloud (GCP), leveraging advanced services and optimizing for cost, performance, and reliability - Define patterns for streaming and batch data architectures that serve diverse use cases - Establish best practices for data contracts, API versioning, CI/CD, documentation, and partner integrations MLOps & AI Leadership - Lead MLOps strategy and implementation, establishing patterns for model deployment, monitoring, and governance at scale - Architect and oversee Generative AI infrastructure, enabling rapid prototyping while ensuring enterprise-grade security, compliance, and cost management - Partner with Data Science leadership to translate research initiatives into production-ready solutions - Drive innovation in AI/ML tooling and infrastructure, staying ahead of industry trends Mentorship & Team Development - Mentor and guide Data Engineers at all levels, conducting design reviews and providing technical feedback - Establish engineering standards, documentation practices, and knowledge-sharing processes - Participate in hiring and onboarding processes, helping to build a world-class data engineering team - Foster a culture of engineering excellence, experimentation, and continuous improvement Collaboration & Influence - Partner with product, engineering, and business leaders to align data strategy with organizational goals - Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration. - Communicate complex technical concepts to non-technical stakeholders, building alignment and driving informed decision-making - Represent data engineering in cross-functional planning and architecture forums - Build strong relationships with external partners and vendors WHO YOU ARE - 10+ years working in a data engineering role that supports incoming/outgoing feeds as well as analytics and data science teams - 5+ years of advanced Airflow and Python experience writing production-grade, efficient, testable, and maintainable code - 3+ years of experience designing, building, and maintaining production APIs (REST, GraphQL, gRPC) for data access and integration, including API gateway management, rate limiting, authentication/authorization, and versioning strategies - 3+ years leading ML/MLOps initiatives, including model deployment, monitoring, and governance at scale - 3+ years of hands-on experience with Google Cloud Platform (GCP) including Cloud Run, Cloud Functions, Vertex AI, Cloud Storage, IAM, and other core services. - Deep expertise with columnar databases (BigQuery, Snowflake, Redshift) and advanced SQL optimization techniques. - Demonstrated experience with AI Coding assistants – AI tools are heavily engrained in Bestow culture. - Proven track record designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders - Experience with upstream data coordination through data contracts. - Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc - Extensive experience with infrastructure as code (Terraform, Pulumi) and GitOps practices - Expert level knowledge of data orchestration frameworks such as Apache Airflow (or similar) to manage SLOs and processing dependencies - Experience in building streaming / real-time ingestion pipelines - Experience with creating alerts and monitoring pipelines which contribute to overall data governance. - Experience with containerization and container orchestration technologies with cloud architecture and implementation features (single- and multi-tenancy, orchestration, elastic scalability) - Deep understanding of standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management. - Adaptability to learn new technologies and products as the job demands. - Proven ability to mentor engineers and lead technical initiatives across teams - Nice to have: Familiarity with building tools that draw upon Generative AI (GenAI) integrations (Enterprise-grade, not simply vibe-coded). TOTAL REWARDSAt Bestow, we’re proud to be awarded for our team members, innovative products, and culture. Our standard benefits include: - Competitive salary and equity based on role - Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs - 100% paid-premium option for medical, dental, and vision insurance - Lifestyle stipend to support your physical, emotional, and financial wellbeing - Flexible work-from-home policy and open to remote - Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting - Employee-led diversity, equity, and inclusion initiatives Recent Employer Awards include: - Best Place for Working Parents 2023 + 2024 + 2025 - Great Place to Work Certified, 2022 + 2023 + 2024 + 2025 - Built In Best Places to Work, 2022 + 2023 + 2025 - Fortune’s Best Workplaces in Texas 2022 + 2023 - Fortune’s Best Workplaces in Financial Services and Insurance 2022 + 2023 + 2024 We value diversity at Bestow. The company will hire, recruit, and promote regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every team member. Thanks for considering a job at Bestow!

Role Description Develop and optimize batch and real-time data pipelines. - Integrate data from multiple sources into centralized platforms. - Ensure data quality, security, and compliance. - Collaborate with analysts, scientists, and product teams. Company Description Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. - We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets. - Create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. - Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. - Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. - Aim to help organizations unlock significant business value by deploying GenAI at scale.