Role Description - Design and build scalable data pipelines for large datasets - Develop batch and real-time data processing solutions - Work with Databricks, Snowflake, and Redshift for data platforms - Optimize SQL queries and improve data performance - Build and maintain workflows using Airflow or DBT - Ensure data quality, reliability, and governance - Partner with data scientists to deploy ML models - Collaborate with teams to translate business needs into data solutions Qualifications - 7+ years of data engineering experience - Strong experience with AWS data services - Hands-on coding in Python and SQL - Experience with distributed data systems and big data tools - Experience building enterprise-scale data platforms Requirements - Databricks - Snowflake - Redshift - AWS (S3, Glue, Lambda) - Advanced SQL (performance tuning) - Python - Airflow or DBT Benefits - Max rate is $96/hr on C2C or $89/hr on W2 - Remote work option - Duration: 12 months - Work authorization: GC, USC, All valid EADs except H1B, OPT, CPT Nice to Have - Monte Carlo (data observability) - Atlan (data catalog) - CI/CD (GitHub Actions or Jenkins) - Experience with ML or statistical modeling

Role Description The Data Insights Strategist plays a critical, hybrid role within our Data & Analytics team, blending diagnostic analysis, statistical modeling, storytelling, and strategic impact. This role is designed for a curious, technically capable problem-solver who can uncover insights, validate hypotheses, and translate data into business value. The Data Insights Strategist will be instrumental in helping drive measurable outcomes across our investment streams by supporting test-and-learn initiatives, developing ROI models, and delivering strategic analyses that turn complex data into clear, actionable guidance for leaders across the organization. This role requires a blend of analytical rigor, data fluency, and strong communication skills. - Partner across investment streams, product lines, and functional teams to uncover insights that drive business growth, retention, and efficiency. - Lead ROI and value realization analysis for strategic initiatives, pilots, and programs. - Translate data into structured analyses, models, and executive-level narratives that guide decision-making. - Design and evaluate experiments (e.g., A/B tests, pilots) to support data-informed innovation. - Develop forecasting and predictive models using Python, R, or similar tools (basic to intermediate level). - Collaborate with Data Governance and Engineering to elevate data quality and availability for strategic use. - Proactively identify cross-functional trends and surface them through clear, compelling data stories via dashboards, visualizations, and presentations tailored to business and executive audiences. - Contribute to a culture of continuous improvement, insight activation, and decision enablement. - Build and interpret basic to mid-level predictive or statistical models to support key business initiatives. - Use tools such as Python, R, or Posit Workbench to explore and analyze complex datasets. - Collaborate cross-functionally to ensure insights are aligned with strategy and result in real-world action. - Design and analyze experiments to measure the impact of strategic initiatives and process improvements. - Establish measurement frameworks and hypotheses to support continuous improvement and data-driven decisions. - Work closely with BI, data science, and business partners to ensure alignment and consistency in data use. - Translate complex analytical concepts into practical applications for broader business teams. - Champion data-driven thinking to prioritize efforts that yield the highest return on investment. Qualifications - 5+ years in data analytics, business analysis, or a related field. - Insurance industry experience preferred. - Strong analytical and storytelling skills with demonstrated experience influencing decisions. - Solid understanding of statistical methods and experimentation (e.g., A/B testing). - Proficiency in SQL, R, and Python, data visualization tools (e.g., QuickSight, Tableau, Power BI), and analytical techniques. - Experience working with integrated development environments (IDE), such as Databricks preferred. - Comfortable drawing conclusions and making decisions with incomplete or ambiguous information. - Experience combining internal and external data for in-depth industry analyses. - Strong communication skills with the ability to simplify complex topics and influence cross-functional stakeholders. - Must have excellent organization and time management skills. - Ability to learn on the fly and grasp new concepts quickly. - Expert Microsoft Office skills. Requirements - Remote: This role is a remote (work from home (WFH)) opportunity, and only open to candidates currently located in the United States and able to work without sponsorship. - It requires a suitable space that provides a private and quiet workplace. - Expected Work Hours: Schedules are set to accommodate the requirements of the position and the needs of the organization and may be adjusted as needed. - Travel: May be required to travel to off-site location(s) to attend meetings, as necessary. Benefits - Salary Range: $90,000 - $130,000 and a comprehensive benefits package. Company Description As a dynamic, fast-growing provider of workers' compensation insurance and services, we are seeking a goal-oriented individual willing to put their ideas to work! We offer a positive, challenging work environment, combined with an opportunity to build your career as you help us grow our business, in innovative and imaginative ways that are uniquely EMPLOYERS! Headquartered in Nevada, EMPLOYERS attributes its long-standing success to its most valuable resource, our employees across the United States. EMPLOYERS is known for the quality service and expertise we provide to our clients, and the exemplary work environment we provide for our employees. We live and breathe our core values: Integrity, Customer Focus, Collaboration, Initiative, Accountability, Innovation, and Personal Fulfillment. These are the pillars that support how we do business with our clients as well as how we treat each other! At EMPLOYERS, you’ll discover an energetic environment that inspires top achievement. As “America’s small business insurance specialist”, we have the resources, a solid reputation and an expanding nationwide identity to enrich your work/life and enhance your career.

Role Description You will join Guidewire’s Product organization, working at the intersection of data, AI, and cloud infrastructure to power our industry-leading P&C insurance platform. Our team focuses on building secure, scalable, and governed data capabilities that enable AI-infused products and analytics for customers worldwide. We collaborate across Product Development, Security, and Finance to ensure our data platform is robust, reliable, and ready for rapid innovation. In this role, you will design and automate modern data infrastructure on AWS to support Guidewire’s AI-first Product strategy, including Agentic AI Platform initiatives and next-generation analytics experiences. You will lead DataOps practices—CI/CD, observability, and governance—for critical pipelines and data products that power our Claims, Underwriting, and pricing solutions globally. If you are excited by GenAI, large-scale data systems, and building the backbone that helps insurers operate more efficiently, this role puts you at the center of Guidewire’s mission to transform how the world’s P&C insurers do business. Qualifications - Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement. - 5+ years of experience in Data Engineering, Data Operations, or Platform Engineering building and operating cloud data infrastructure. - Deep proficiency with AWS (e.g., S3, EMR, Glue, Lambda, Redshift) and infrastructure-as-code (Terraform strongly preferred; CDK a plus), including designing secure, resilient architectures. - Strong experience with dbt in production (modeling, testing, documentation, deployment) and modern table formats such as Apache Iceberg for large-scale analytics. - Advanced SQL skills (performance tuning, complex joins and window functions) and solid Python experience for automation, orchestration, and data engineering tasks. - Hands-on experience with Apache Spark for large-scale batch or streaming workloads, ideally on AWS EMR or Glue. - Proven track record of building or maintaining CI/CD pipelines (Git-based workflows, automated testing, deployment, and monitoring) for data and analytics workloads. - Strong systems thinking and data modeling skills (e.g., Kimball, Data Vault) and familiarity with integrating RDBMS data via CDC patterns. - Clear, collaborative communication style with the ability to work across product, security, and business stakeholders in a distributed environment. Requirements - Experience leveraging Claude Code, LLM-based agents, or other agentic AI tools to automate infrastructure provisioning, refactoring, or documentation workflows. - Background working with MLOps platforms such as SageMaker, especially around feature stores and data contracts between data engineering and ML teams. - Experience in a regulated environment (Finance, Insurance, or similar) and familiarity with P&C insurance data concepts (policies, claims, billing, rating, underwriting). - Exposure to Redshift performance tuning, workload management, and cost optimization in enterprise settings. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Your Impact We believe in clarity and setting you up for success. In your first six months, you will take ownership of key AWS-based data environments, stabilize and enhance existing dbt/Glue/Spark pipelines, and introduce AI-augmented workflows that reduce operational toil and improve developer productivity. You will help Product Strategy and PDO deliver reliable, trusted data for AI-powered products like the Agentic AI Platform and Claim Summary, while aligning with security and governance priorities for a global P&C customer base. Over time, your work will shape how Guidewire’s customers access, trust, and use data—directly influencing product quality, operational excellence, and our mission to transform how insurers serve their policyholders worldwide. Benefits - Flexible work environment - Health and Wellness benefits - Paid time off programs including volunteer time off - Market-competitive pay and incentive programs - Continual development and internal career growth opportunities

Role Description Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies. As a Data Engineer, you will: - Develop a new data engineering platform that leverages a new cloud architecture. - Extend or migrate existing data pipelines to this architecture as needed. - Assist with integrating the SQL data warehouse platform as the primary processing platform. - Design and implement complex ETL pipelines in the cloud data platform. - Support the rapidly growing and dynamic business demand for data. - Deliver data as a service to influence day-to-day decision making. General Duties/Responsibilities (May include but are not limited to): - Interfacing with business customers, gathering requirements, and developing new datasets in the data platform. - Building and migrating complex ETL pipelines from on-premise systems to cloud and Hadoop/Spark. - Identifying data quality issues to address them immediately for a great user experience. - Extracting and combining data from various heterogeneous data sources. - Designing, implementing, and supporting a platform that provides ad-hoc access to large datasets. - Modeling data and metadata to support machine learning and AI. Qualifications - 3+ years relevant experience in cloud-based data engineering. - Demonstrated ability in data modeling, ETL development, and data warehousing. - Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. - Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, etc.). - Experience in using Python, .NET, Java, and/or other data engineering languages. - Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field. - Knowledge and experience of SQL Server and SSIS. - Excellent communication, analytical, and collaborative problem-solving skills. Requirements - Healthcare domain and data experience preferred. - Healthcare EDI experience is a plus. - API development experience is a plus. - Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. - Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies – SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory, and other big data technologies. - Experience providing technical leadership and mentoring other engineers on best practices in the data engineering space. - Linux/UNIX experience, including processing large data sets. - Experience with Azure, AWS, or GCP is a plus. - Microsoft Azure Certification is a plus. - Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment. - Problem-solving skills and ability to meet deadlines are a must. Benefits - Pay Range: $130,332.00 - $195,498.00. - Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Company Description Alignment Healthcare is a data and technology-driven healthcare company focused on partnering with health systems, health plans, and provider groups to provide care delivery that is preventive, convenient, coordinated, and results in improved clinical outcomes for seniors. Alignment Health is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disabled/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact careers@ahcusa.com.