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Why We Need You: The Principal Data Engineer serves as PEMCO's senior individual contributor in the Data & AI Organization and is responsible for designing, building, and evolving scalable data processing patterns and data products that power analytics, reporting, operational intelligence, and AI across the enterprise. Build and optimize cloud-native data solutions leveraging Databricks, Spark, Delta Lake, Azure Data Platform services, SQL Server, and modern lakehouse architectures.

YEAR

PEMCO Mutual Insurance Company

Principal Data Engineer

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The role analyzes customer requirements and translates them into technical specifications for layer 2/layer 3 solutions, develops and tests automation scripts for device provisioning and configuration management, and designs IP addressing schemes across complex multi-site environments. Role Overview:The Managed Services Engineer II, Data Services applies systems analysis techniques, network design methodology, and engineering judgment to architect, configure, deploy, and maintain Segra's managed data-services platform.

Lumos Networks Corp.

Managed Services Engineer II, Data Services

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As part of the team developing Cisco Hypershield Smart Switches, you'll help build high-performance data plane software that leverages Data Processing Units (DPUs) to deliver advanced networking, packet processing, and security capabilities. This is a highly technical, hands-on individual contributor role where you'll spend the majority of your time writing production-quality code, solving complex networking problems, and influencing technical direction through engineering leadership.

Cisco Systems, Inc.

Software Engineer Technical Leader - Network Data Plane - Hypershield

Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.

CVS Health offers a world of promising job opportunities across a diverse range of careers in everything from corporate and pharmacy roles to retails positions. No matter where you work at CVS Health, your unique skills, talents and abilities are welcome and valued. We recognize and reward greatness and want our employees to know their work is making a difference in the lives of millions. Join us today. Together we can continue making innovative, high-quality health and pharmacy services safe, affordable and accessible – for all.

CVS Health Corp

Senior Data Engineer

Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

Sedgwick Claims Management Services, Inc., is a leading global provider of technology-enabled risk and benefits solutions. At Sedgwick, caring countsSM; the company takes care of people and organizations by delivering cost-effective claims, productivity, managed care, risk consulting and other services through the dedication and expertise of nearly 15,000 colleagues in some 275 offices located in the U.S., Canada, the U.K and Ireland. Sedgwick facilitates financial and personal health and helps customers and consumers navigate complexity by designing and implementing customized programs based on proven practices and advanced technology that exceed expectations. Sedgwick’s majority shareholder is KKR; Stone Point Capital LLC, La Caisse de dépôt et placement du Québec (CDPQ) and other management investors are minority shareholders.

Sedgwick Claims Management Services, Inc.

Sr. Data Engineer

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

Data Strategy-Manager

Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients; Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows; Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases; Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards; Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases; Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes; Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases; Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams; Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps; Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.

Applied AI Health Data System Engineer-Senior Manager

This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of Greystar's enterprise data infrastructure - a Databricks-native medallion architecture (Bronze Silver Gold) running entirely on Microsoft Azure. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region.

Education Realty Trust Inc (Inactive)

Data Platform Engineer

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.

Data Governance- Manager

The role will be responsible for the infrastructure and operations of the organizations data storage solutions, third-party integrations data provisioning services and overall ETL/ELT code-based solutions and tooling that process data. Akumin is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems nationwide to deliver advanced diagnostic imaging and exceptional patient care close to home.

Akumin Inc

ADAPTED_NOW

SCOPE OF THE PROJECT: Supports In The Neighborhood Of 300 Plus SQL Server Databases And Are In The Process Of Migrating Those Databases From SQL Server 2019 To SQL Server 2022. PREFERRED SKILLS (RANK IN ORDER OF IMPORTANCE): Data Domain Boost (Dd Boost) To Support Backup And Restore Operations For SQL Servers.

HOUR

Syntricate Technologies Inc

Database Administrator

Syntricate Technologies

Design/build solutions using various rules and features like Flows, Activities, User Interface, Flow Actions, Agents, SLA, Correspondence, Single-Sign-On, External Authentication, PRPC Security, Reports, Listeners (File, MQ), Connectors and SOAP Services etc. Good knowledge on activities, data transforms and other basic rules of Pega such as UI, Data Pages, Declare Rules, Flows, Case Management, and reports.

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