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Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for an Engineering Manager to lead our Data Products team that builds and operates systems that move, process, aggregate, store, and analyze the company's most critical shared datasets. This role reports to the Engineering Director, Data Ecosystem. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Provide technical oversight and drive new features with a focus on Garner's strategic mission, • Build and operate scalable, resilient data systems that contribute toward the target state data architecture, • Contribute to the development of world-class data products that support data science, analytics, product, and engineering needs across the company, • Influence relevant product and engineering roadmaps to ensure all data systems interoperate with a unified data ecosystem, and oversee seamless migrations as necessary, • Champion and ensure the privacy and security of our users' data, • Provide leadership and guidance to your team, fostering a culture of excellence, collaboration, and accountability, • Mentor, grow, and recruit Garner's next generation of engineering leadersWhat you will bring to the team:, • 6+ years of experience working in the software engineering industry, • 3+ years of experience working in a Data Engineering function, • 1+ years of experience managing Engineering teams, • 2+ years of experience building big data systems handling at-scale data ingestion, processing, and/or storage, • Expert in storage/query optimization in cloud-based environments, • Demonstrated ability to translate complex business requirements into a well executed technical roadmap, • Experience with big data technologies such as Apache Iceberg, AWS Glue, Spark, Dagster, DBT,Soda, etc., • Experience managing regulated data is highly desirable, • Familiarity with healthcare data standards (e.g. HIPAA, EDI) is highly desirable, • Exceptional leadership and people management skills, with a proven ability to inspire and lead a high-performing team, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic NeedWe have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We are seeking and experienced Staff Engineer – Data Platform and Lakehouse to lead the design and implementation of our cloud-native Data Platform that support AI, advanced analytics, and machine learning applications in our ecosystem of B2B SaaS applications in the FinTech vertical You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the Data platform and Lakehouse to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams. Responsibilities: • Design and implement scalable, secure, and maintainable data platforms on Databricks and AWS cloud infrastructure., • Provide architectural leadership across engineering domains, ensuring consistency, scalability, and resilience, • Architect distributed data processing systems using Apache Spark and optimize for performance and scalability., • Lead development of reusable data pipelines and workflows using Databricks Workflows., • Translate business objectives into platform capabilities in collaboration with Product Managers and cross-functional teams., • Support AI/ML initiatives through robust data engineering, including feature engineering, model deployment., • Champion best practices in ETL/ELT, data quality, monitoring, observability, and Agile development., • Drive adoption of data governance standards: access control, metadata management, lineage, and compliance., • Establish and maintain CI/CD pipelines and DevOps automation for data infrastructure. Desired Skills and Expertise: • 15+ years of experience in software development, covering the full SDLC: ideation, design, development, testing, deployment, and support., • Strategic mindset, capable of aligning technical decisions with business goals and driving architectural vision., • Excellent collaboration and communication skills across functions, including data scientists, MLOps engineers, and product managers., • Advanced proficiency in Python and SQL, with a strong foundation in software engineering principles., • Extensive experience with distributed computing frameworks, particularly Apache Spark, including performance tuning and scalability., • Required hands-on experience with Databricks, including Unity Catalog, Feature Store, and Delta Live Tables., • Proficiency in data pipeline orchestration tools using Databricks Workflows, Airflow, or AWS Glue; Databricks required., • Strong command of data engineering best practices and tools, including ETL/ELT design, data quality validation, monitoring, and observability. Experience with Monte Carlo preferred., • Proven ability to build scalable, cloud-native data architectures on Databricks, AWS, Azure, or GCP; Databricks required., • Experience enabling AI/ML workloads including feature engineering, model deployment, and real-time processing., • Strong understanding of data governance and security, including access control, data lineage, compliance, and metadata management. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionSeeking a Sr Snowflake Informatica Cloud Architect / Engineer who will be responsible for designing and implementing scalable and reliable solutions using Snowflake and Informatica Cloud. Additionally, they will be expected to: • Collaborating with cross-functional teams to gather requirements, provide technical guidance, and ensure successful project delivery., • Perform end-to-end implementation of Snowflake cloud data migration from on-premises preferably from any RDBMS like SQL Server, Oracle, Teradata etc to Informatica., • Perform data security and data access controls and design, RBAC Policies, Dynamic Masking, Secured Views etc., • Provide resolution to an extensive range of complicated data pipeline related problems, proactively helping the team and take the ownership for closer., • Lead architectural discussions, mentor junior team members, and stay updated with the latest industry trends and best practices. RequirementsSkills Required/Preferred Years Candidate Experience Must have 12+ years of IT experience. Required 12+ Must have 10+ years of IT experience in the US working for US companies. Required 10+ Must have 3 years of recent experience in a banking or Brokerage environment (With in last 6 years minimum). Required 3+ Must have a recent Snowflake Certified Architect Certification. Required Must have a SnowPro Core Certified Certification. Required Must have 8+ years of experience with Snowflake and Informatica. Required Expertise experience with Snowflake - data modelling, ELT using Snowflake SQL, Stored Procedure, Snowpark. Required Should have recent hands-on experience in AWS Glue/Pyspark Data Frame/DataStage/Matillion/Informatica and AWS data storage and management technologies such as S3. Required Should have 4 plus years of Snowflake advanced concepts like setting up resource monitors, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, Streams and Tasks. Required 4+ Hands-on experience with Snowflake utilities, Copy Command from S3, SnowSQL, SnowPipe. Required Must be proficient in complex SQL, Unix Shell Scripting, performance tuning and troubleshooting. Required Benefits Benefit Package includes: * Paid Sick Time * Insurance for Medical, Dental, Vision and Life Available * 401(k) including Employer Match * HSA, Short-term & Long-term Disability Available * We are an EEO/Veterans/Disabled employer

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Front End Developer specializing in React & AWS development to join our growing team. This is an exciting opportunity for a driven passionate about creating cutting-edge solutions for the energy industry. Responsibilities: • Collaborate with cross-functional teams to design, develop, and maintain software solutions., • Work on frontend development tasks, with a primary focus on React for the user interface., • Develop and implement responsive, intuitive, and visually appealing user interfaces., • Assist in the integration of the developed solutions with existing systems and databases., • Bachelor's degree in computer science or a related field., • Solid understanding of web development fundamentals, including HTML, CSS, and TypeScript., • Knowledge of React.js and its core principles., • Experience with AWS Amplify and Amplify UI., • Eagerness to learn and adapt to new technologies and frameworks., • Strong problem-solving and analytical skills., • Basic understanding of backend technologies such as Node.js, Python or others., • Experience with version control systems (e.g., Git)., • Experience working with AWS services. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. THIS ROLE IS NOT REMOTE. ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Direct hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams, • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment Pay Transparency: Min $145K - Max $175K. THIS ROLE IS NOT REMOTE AND REPORTS INTO A NYC OFFICE. ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED. Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionWe are looking for a Cloud Infra Architect with AWS to lead the architecture and implementation for Launch Darkly. This person must have prior experience in leading this implementation and roll out to application teams at large scale.Launch Darkly Feature Flags with Progressive rollouts, A/B Testing with Zero Downtime & Full AutomationThis document outlines the comprehensive requirements for vendor partners to support initiatives aimed at achieving zero downtime, reducing production incidents, improving change failure rate metrics, and enabling full automation. The scope includes feature flags, A/B testing, progressive rollout, and support for deployment patterns across APIs, EKS, OnPrem, Lambdas, and other AWS services.Functional ScopeZero Downtime DeploymentsImplement blue/green or canary deployment models with seamless traffic switching, rollback capability, and session persistence.Change Failure Rate ReductionIntegrate root cause tracking, automated rollback, and pre-deployment validation pipelines.Feature FlagsEnable real-time toggling, secure access control, and auditability. Must support both server-side and client-side toggles.A/B and B/G TestingSupport traffic segmentation, real-time metrics, rollback, and privacy compliance.Progressive RolloutsAutomate staged rollouts by region, user cohort, or environment. Include rollback triggers based on metrics.Automation & CI/CDFull GitHub Actions integration, dynamic runners, and golden path patterns for EKS, Lambda, and OnPrem.Environment PatternsSupport for APIs, EKS, OnPrem, Lambdas, Kafka, Glue, RDS, S3, and other AWS services.Observability & MetricsIntegrate with Grafana, Splunk, and DORA metrics (lead time, change frequency, failure rate, MTTR).Self-Service Enablement & Onboarding/Migration support for feature flagsEmpower teams with Express Lane-style pipelines, role-based access, and audit trails.Expected Outcomes- Pilot with at least 5 teams by Nov’2025- We need enterprise adoption ready by Nov with at least 5 Patterns inclusive of Cloud & OnPrem- 99.9%+ availability during deployments.- 99%+ reduction in change failure rate.- Full automation of provisioning, testing, and deployment pipelines- Full automation and governance for E2E feature flag lifecycle managementNon-Functional Requirements (NFRs)PerformanceLow-latency toggling, fast rollback, <4 min deployment time.SecuritySecure artifact storage, RBAC, audit logging, vulnerability scanning.ScalabilitySupport for multi-region, multi-tenant deployments; dynamic scaling of runners.ResilienceChaos testing, fault injection, recovery time objectives (RTOs).ComplianceTagging enforcement, cost visibility, and privacy compliance for A/B testing, BlueGreen, Flags

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for an Engineering Manager to join and lead the team responsible for the systems that generate Garner's national healthcare provider rankings. The ideal candidate for this role should have a high sense of ownership, be comfortable mentoring engineers of all levels, have experience with distributed systems, and be able to reliably deliver complex technical solutions. This role reports to the VP of Health Intelligence Engineering. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Provide technical leadership and deliver new features aligned with Garner's strategic objectives, • Own and manage the core systems responsible for generating provider rankings, • Maintain high standards of quality while driving efficient, timely delivery, • Balance the development of new capabilities with the need to scale and optimize existing systems, • Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs, • Champion user data privacy and security across all data initiatives, • Foster a high-performing, collaborative team culture through hands-on leadership, mentorship, and talent developmentWhat you will bring to the team:, • 5+ years of hands-on engineering experience, with a focus on Big Data and distributed systems, • 1+ years of managing engineering teams, with a track record of building and mentoring high performing teams, • Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc., • Proficiency with Big Data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda, • Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps, • Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success, • Preference for managing healthcare data standards (e.g. HIPAA, EDI)

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Staff Data Engineer to lead the engineers on the Health Intelligence team in building robust, scalable data pipelines, tooling, and infrastructure. This role reports to the Manager of Data Engineering. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Design and maintain robust data systems that generate Garner's provider rankings with high accuracy, • Develop and optimize algorithms to enhance provider ranking precision while reducing costs and resource use, • Collaborate with engineers company-wide to establish and enforce coding standards, reusable libraries, and shared tools, • Work closely with Data Science, Research, and Product teams to translate research concepts into reliable, high-performance production systems, • Lead the team's technical strategy to build scalable, maintainable, and resilient software solutions, • 7+ years of experience working in the software engineering industry, with at least 3+ years focused on a Data Engineering function, • Experienced in leading Data Engineering efforts, driving complex big data solutions, • Expert in Python and SQL for data transformation and analysis, • Has experience building ETL/ELT pipelines (e.g. Spark, Beam, AWS Glue), • Proficiency working in cloud environments (preference for AWS with Kubernetes), • Background in managing pipeline workflows with tools such as Airflow, Argo, & Prefect, • Experience working with Data Lake Table formats and Data Governance tools (Apache Iceberg, AWS Lake Formation, Hudi, etc.)., • Proficiency using analytics platforms like Snowflake, Redshift, BigQuery, or Trino for large-scale data processing and analysis, • Familiarity with data visualization tools preferred (Tableau, Looker, etc.), • Preferred experience in environments with strict data privacy regulations (e.g., GDPR, HIPAA) and strong security best practices, • Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success

Job Description Overview CTG is seeking to fill a Data Engineer opening for our client in Philadelphia, PA. Location: Philadelphia, PA Duration: 12 months Duties: * Design, build, and maintain scalable data pipelines using Python, SQL, and Airflow * Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver reliable data solutions * Develop and maintain data models, data lakes, and data warehouse infrastructure in AWS * Implement data quality checks and monitoring systems to ensure accuracy and integrity * Optimize data systems and ensure the infrastructure supports business analytics and reporting needs * Troubleshoot data issues and perform root cause analysis on data-related problems Skills: * Strong proficiency in Python for data manipulation and pipeline development * Advanced SQL skills for querying, transforming, and optimizing large datasets * Hands-on experience with Apache Airflow for orchestration of workflows * Solid understanding of AWS services such as S3, Redshift, Lambda, Glue, and Athena * Familiarity with version control tools (e.g., Git), CI/CD practices, and containerization (Docker) * Excellent problem-solving, analytical, and communication skills Experience: * Minimum of 3 years of experience in a Data Engineering or similar role * Proven experience building and optimizing ETL/ELT pipelines for large-scale datasets * Prior experience working in cloud-based data environments (preferably AWS) * Experience working in Agile teams and using tools such as Jira or Confluence Education: * Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Emily Drew at . Kindly forward this to any other interested parties. Thank you!

Title: AWS Data Engineer Location: Remote Duration: 6 Months (Contract To Hire) As a Cloud Engineer within the AWS AI/ML platform team, you will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the AI/ML infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency. You will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond. Responsibilities: • Focus on optimizing existing systems, building infrastructure, and eliminating work through automation., • Influence application and security architecture and design across multi and hybrid cloud platforms., • Peer-reviewing infrastructure-as-code (AWS CloudFormation, Python, Terraform, or similar)., • Partnering with application and infrastructure teams to develop reusable cloud patterns., • Deployment and troubleshooting of infrastructure code., • Partner with the Site Reliability Engineering (SRE) team to conduct post-incident reviews and root cause analysis and building monitoring and automation to prevent future incidents., • Identify opportunities to build self-service capabilities and automate infrastructure and application deployments., • Develop tools and best practices for platform development, developer productivity, automation (MLOps, CI/CD, A/B testing), and production operations., • Design, Develop & deliver critical components, frameworks, services, and products using AWS SageMaker, Bedrock, Lambda, and container technologies in AWS., • Expertise in LLM, Agentic framework, Agentic AI, • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • The cloud is a rapidly changing world, with the major players announcing new features almost on a daily basis. A successful Cloud Engineer doesn’t need to know everything about everything but instead keeps a pulse on new developments and emerging paradigms to identify areas where they can continuously improve their skill sets., • Ability to debug, optimize code, and automate routine tasks., • A systematic problem-solving approach coupled with a strong sense of ownership and drive., • Ability to quickly pickup and understand where newly released cloud services would be appropriate for business applications., • Experience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or Terraform., • Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools., • Experience using Git for source control management., • Ability to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languages., • Experience using Docker within container orchestration platforms such as AWS ECS, EKS, Google Anthos, or others., • Comfortable in a Linux environment., • Understanding of foundational AWS services such as VPCs, EC2, S3, RDS, Auto Scaling Groups, CloudWatch Logs, etc., • In-depth knowledge of security and IAM within AWS, including the management and operation of Security Groups, KMS Keys, VPC NACLs, and SCPs., • Familiar with ETL and big data tool-chains such as those provided by Hadoop/EMR, Glue, Spark, Impala, or similar., • Understanding of relational database systems and how applications interact with them., • 5+ years experience in Amazon Web Services (AWS), AIML services, • Experience in working in an Agile/Scrum-focused organization., • Strong verbal and written communication skills; comfortable with translating technical problems to non-technical audiences., • One or more Associate or Professional-level AWS certificates., • Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.

Looking for Java with Scala Top Skills Java Scala AWS Glue Required Skills: Basic Qualification: Additional Skills : Candidate must be your W2 Employee :No Interview Process :Additiona.

Mentor junior engineers on data-engineering best practices and streaming architectures. S degree in Computer Science, Engineering, Data Science, or a quantitative discipline. Design and maintain AWS-based data platforms (S3, EMR/Spark, Redshift/Athena/Glue).

Job description: Technical Skills: Python, AWS Glue, hands-on experience in applied AI/ML engineering, backend development - databases (SQL/NoSQL/Graph), web frameworks, APIs, and microservices. Process Skills: Core Skills: 6+ years of engineering experience with strong programming skills in Python,

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Back-end Developer specializing in AWS development to join our growing team. This is an exciting opportunity for a driven passionate about creating cutting-edge solutions for the energy industry. Responsibilities: • Collaborate with cross-functional teams to design, develop, and maintain software solutions., • Work on AWS backend development tasks., • Assist in the integration of the developed solutions with existing systems and databases., • Bachelor's degree in computer science or a related field. Solid understanding of AWS cloud development fundamentals. * Experience with AWS Lambda, API Gateway, Step Functions, and Amplify. * Proficiency in Node.js and Python. * Working knowledge of GraphQL. * Experience with databases: RDS, Oracle, PostgreSQL, and DynamoDB. * Familiarity with other AWS services as required for development and integration tasks. • Eagerness to learn and adapt to new technologies and frameworks., • Strong problem-solving and analytical skills., • Basic understanding of front-end technologies such as ReactJS., • Experience with version control systems (e.g., Git). "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: • Remote work from home, • 401(k) w/matching, • Dental insurance, • Flexible spending account, • Health insurance, • Life insurance, • Paid time off No Agencies Please!