Senior Cloud Data Engineer (AWS, Azure, GCP)

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that integrate data from diverse sources to facilitate informed decision-making. We specialize in developing pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in problem-solving and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage the cloud infrastructure of our clients to provide immediate value and ensure scalability for future growth. We thrive in a collaborative environment, offering numerous opportunities to learn from and share insights with fellow developers, architects, and clients.Your Impact and Responsibilities:Serve as a trusted advisor to customers, offering best practices, methodologies, and technologies for implementing robust data engineering solutions.Design, implement, and maintain modern data pipelines that deliver optimal solutions using appropriate cloud technologies.Collaborate with product owners and business subject matter experts (SMEs) to analyze customer requirements and deliver sustainable engineered solutions.Provide technical leadership and collaborate across teams to ensure alignment of technical solutions with customer needs.Stay abreast of the latest cloud technologies, patterns, and methodologies; effectively communicate results and ideas to key stakeholders.

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that unify information from various sources, enhancing decision-making capabilities. Our team excels in developing data pipelines and preparing datasets for utilization by data scientists, analysts, and integrated data systems. We thrive on tackling challenges and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage cloud infrastructure to provide immediate value while ensuring scalability for future demands. We foster a collaborative atmosphere with ample opportunities for knowledge sharing and professional growth alongside our peers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and other data solutions utilizing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).Providing expert advice to clients on technologies and methodologies for efficient data ingestion and processing in cloud environments.Employing engineering best practices to resolve intricate data challenges.Collaborating with end users, development teams, and business analysts to ensure optimal data architecture that maximizes client data value across their organization.Explaining architectural distinctions between various solution strategies, highlighting their respective advantages and disadvantages.

At CapTech, our Senior Data Architects play a pivotal role in aligning our clients' business objectives with cutting-edge technology solutions to ensure successful data delivery implementations. By leveraging advanced techniques and tools, we enhance our clients' business value through optimized data utilization, improved information stewardship, and streamlined data processes. With a deep understanding of our clients' challenges, our architects provide experience-driven insights and innovative solutions. We recognize our Data Architects as thought leaders who contribute to the growth of CapTech talent and the expansion of our data and analytics capabilities.Key responsibilities include:Evaluating and promoting data management technologies and practices to bridge the gap between the current and desired future state.Crafting and executing impactful strategic plans that enhance data integration, quality, and delivery in support of business objectives.Analyzing architectural trade-offs among various solution options and recommending optimal solutions that meet technical requirements.Leading teams of data engineers and technical members throughout the design and implementation phases.Providing valuable insights to executive stakeholders and development teams to ensure that data architecture recommendations maximize client data value.Ensuring that proposed solutions deliver business value aligned with clients' strategic goals.Communicating effectively with non-technical executives regarding the value of modern enterprise-level data solutions.Driving innovative technology solutions by sharing thought leadership on emerging trends.Collaborating with colleagues to share project solutions and outcomes, enhancing future project delivery.Taking a leadership role within the Data & Analytics practice area to foster talent development and growth.Partnering with the CapTech business development team to showcase our technical capabilities, envision potential solutions, and estimate work plans.

As a Data Architect at CapTech Consulting, you will play a crucial role in aligning our clients' business objectives with cutting-edge technologies to develop effective data delivery strategies. Your expertise will enhance the overall business value by optimizing data utilization, improving information stewardship, and streamlining data processes. By gaining a comprehensive understanding of client challenges, you will leverage your deep experience and utilize state-of-the-art tools to recommend optimal solutions. Our Data Architects are seen as thought leaders within the data domain, tasked with nurturing CapTech's talent and expanding our data and analytics capabilities.Key Responsibilities:Evaluate and promote data management technologies and practices to bridge the gap between current capabilities and desired future states.Translate strategic plans into actionable improvements for data integration, quality, and delivery that align with business goals.Analyze architectural alternatives and articulate trade-offs to recommend the most suitable solutions while ensuring technical requirements are fulfilled.Inspire and mentor team members by enhancing their technical and consulting skills.Engage with client stakeholders and development teams to ensure our data architecture maximizes the value of their data across the enterprise.Lead the charge in innovative technology solutions by providing insights on emerging trends.Document and share project outcomes and solutions with colleagues to enhance future project delivery.Collaborate with the CapTech business development team to showcase our technical expertise, envision solutions, and estimate project plans.

Job Title : AWS Cloud Developer Duration : 12+ months Location : Philadelphia, PAProject Overview:The project focuses on creating a centralized logging system, integrating efforts across teams to streamline data analytics on AWS.Current challenges involve transitioning from existing in-house systems to AWS for enhanced storage solutions.The team is engaged in developing endpoint tools and prioritizing email security, specifically focusing on logging PCI compliance.Key tasks include migrating data from Hexus to S3 and Splunk.Required Skills:• Strong background in development, particularly as a Cloud Engineer.• Proficient in JavaScript and Python as primary programming languages.• Experience with developing procedures using ElasticSearch, Kibana, or Logstash.• Initial focus on hands-on development transitioning towards DevOps practices.• Familiarity with managing and operating instances of EC2, S3, RDS, DynamoDB, Zookeeper, and Cassandra.• Proficient in Linux environments, specifically CentOS and RedHat.• Emphasis on logging, scripting, and development experience.• Experience with Lambda functions in Python and JavaScript is preferred.• Ability to design schemas for S3 and data extraction.Industry Experience:• Background in Telecommunications or Cable is a plus.Interview Process:• Initial phone screening followed by an onsite interview with team members.

Join Esri as a Senior Partner Manager focused on our AWS partnerships. In this pivotal role, you will lead strategic initiatives to enhance collaboration, drive growth, and deliver exceptional value to our mutual customers. Your expertise in cloud technologies and partner management will be essential in navigating the evolving landscape of geographic information systems.

Join our innovative team at dev2 as a Data Engineering Manager where you'll lead initiatives in data architecture and engineering. In this hybrid role, you will harness your expertise in Python, AWS, Airflow, and Snowflake to drive strategic projects and enhance our data infrastructure. Your leadership will guide a talented team as we tackle complex data challenges and deliver high-quality solutions that empower our business decisions.

Veeva Systems is at the forefront of revolutionizing the life sciences industry with our innovative approach to industry cloud solutions. Our mission is to expedite the journey of therapies to patients, making a tangible difference in healthcare. As a rapidly expanding SaaS leader, we achieved over $2 billion in revenue last fiscal year and are poised for even greater growth.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our operations. In 2021, we proudly became a public benefit corporation (PBC), reinforcing our commitment to balance the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we empower our team members to choose their optimal work environment, whether from home or in the office.We invite you to join us in transforming the life sciences sector, as we strive to create a positive impact for our clients, employees, and communities.The RoleAs the Senior Director of Solution Consulting, you will lead initiatives to enhance the adoption and growth of Veeva Data Cloud through proactive pre-sales engagement. Veeva Data Cloud serves as the comprehensive data foundation for Biopharma, addressing challenges posed by fragmented systems and offering an integrated suite of commercial data products including reference, deep, performance, and access data.This hybrid position integrates technical data expertise with a consultative approach in client interactions. You will engage directly with customers to increase brand visibility, articulate unique product differentiators, and facilitate customer data assessments. Your role will also involve illustrating how our products deliver value by identifying new patients and healthcare providers, driving revenue growth, and optimizing operational efficiency.Your technical proficiency and industry insight will be crucial in educating potential customers on leveraging our products for critical use cases such as:1. Enhancing the patient journey with Compass Patient2. Utilizing Compass Prescriber for effective segmentation, targeting, and incentive compensation3. Leveraging Compass National for comprehensive market access insights

Valorem Reply is a prestigious digital transformation firm dedicated to enhancing business operations through data-driven solutions, IT modernization, customer experience enhancement, product transformation, and creating a digital workplace. Our expertise lies in harnessing the capabilities of Microsoft technologies to deliver scalable, agile, and innovative digital business services tailored to our clients' needs.As a Data Engineer at Valorem Reply, you will be instrumental in designing, constructing, and optimizing cutting-edge data platforms utilizing Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Your role will merge technical prowess with strong consulting abilities, engaging clients to understand their business challenges and translating those insights into scalable data solutions. You will play a key role in solution architecture, delivering high-quality data solutions that yield tangible business benefits. You will find yourself in a collaborative environment where you can discuss intricate technical details with engineers, facilitate design sessions with clients, and present your recommendations to executive leadership.

Reply is seeking an AI/ML Engineer with deep experience in AWS. This position is available in Atlanta, GA, Kansas City, MO, and Philadelphia, PA. The team partners with clients to apply artificial intelligence and machine learning, aiming to strengthen their technology capabilities. What you will do Design and develop machine learning models tailored to real business challenges Deploy scalable solutions using AWS services Collaborate with colleagues from various teams to deliver project outcomes Ensure data integrity is maintained throughout each project phase Requirements Solid understanding of AI and machine learning concepts Proven experience with AWS and deploying machine learning solutions in the cloud Ability to work collaboratively and adapt to shifting project needs

agecareers is seeking a Cloud Storage Engineer to help build and support scalable cloud storage systems. This position plays a key role in maintaining data integrity, security, and accessibility across several cloud platforms. Key responsibilities Design storage solutions that meet growing organizational requirements Implement and manage storage infrastructure in different cloud environments Monitor systems to uphold data integrity and enforce security protocols Support reliable and accessible data storage for users throughout the organization Work locations Battle Creek, Michigan Columbus, Ohio Dayton, Ohio Fort Belvoir, Virginia Hill AFB, Utah New Cumberland, Pennsylvania Philadelphia, Pennsylvania Richmond, Virginia Tracy, California

Veeva Systems is a pioneering and mission-driven organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and possess significant growth potential ahead.Our core values at Veeva emphasize: Integrity, Customer Success, Employee Growth, and Agility. In 2021, we made a historic transition by becoming a public benefit corporation (PBC), binding ourselves to balance the interests of our customers, employees, society, and investors.As a Work Anywhere company, we promote a flexible work environment, allowing you to choose your ideal setting—whether at home or in the office.Join us in our mission to revolutionize the life sciences industry and make a meaningful difference for our customers, employees, and communities.The RoleAs the Manager of Data Cloud Solution Consulting, you will play a pivotal role in advancing the adoption and growth of Veeva Data Cloud through strategic pre-sales engagement. This innovative platform serves as a comprehensive data foundation for Biopharma, addressing the challenges posed by fragmented systems with an integrated suite of commercial data products, including reference data, deep data, performance data, and access data. In this hybrid position, you will blend technical data expertise with a consultative client-facing approach. Your responsibilities will involve supporting customer engagements during the pre-sales process, which includes building brand awareness, emphasizing product differentiators, and guiding customer data assessments. Additionally, you will illustrate how these products enhance customer value by identifying new patients and healthcare providers, increasing top-line revenue, and boosting operational efficiency. Drawing on your technical skills and industry knowledge, you will educate potential customers on how our Compass and HCP 360 products support key use cases, such as:1. Compass Patient enhances the entire patient journey2. Compass Prescriber facilitates segmentation, targeting, and incentive compensation3. Compass National provides more precise forecasting...

Join Veeam Software as a Senior Sales Engineer specializing in Data & AI Security. In this pivotal role, you will be responsible for driving sales success through your technical expertise in our cutting-edge data security solutions. You will work closely with sales teams and customers to ensure they understand the value of our products, helping them to secure their data environments effectively.

We are seeking a talented Genesys Cloud Architect to join our dynamic engineering team in Philadelphia. As a pivotal member of our organization, you will leverage your expertise in cloud architecture to design, implement, and optimize cutting-edge solutions on the Genesys platform. Your contributions will directly impact our clients' success in achieving seamless customer interactions.In this role, you will collaborate closely with cross-functional teams to understand business requirements and translate them into technical specifications. You will be responsible for ensuring the scalability, performance, and security of our cloud solutions while providing strategic guidance on best practices and emerging technologies.

Medical Guardian supports over 625,000 members nationwide with emergency response systems and remote patient monitoring. For more than a decade, the company has appeared on the Inc. 5000 list, reflecting a focus on growth, innovation, and helping individuals live independently and safely. The Senior Security Engineer joins the IT Operations team in Philadelphia, reporting to the Head of Infrastructure and Information Security and working closely with the CISO. This role leads efforts to strengthen enterprise security, especially across cloud platforms, AI systems, applications, endpoints, and identity infrastructure. The position requires hands-on technical leadership, architectural oversight, and collaboration with both internal teams and external security partners. Role overview This engineer acts as the primary technical lead for security incident response, coordinating internal resources and third-party partners to manage, contain, and recover from security events. The role includes readiness to handle incidents outside of standard business hours. Responsibilities extend to mentoring team members and overseeing architectural decisions and external partner relationships. Key responsibilities Design and implement security architecture patterns for Azure and AWS cloud environments, as well as on-premises and hybrid systems. Lead security design reviews for infrastructure and application projects. Engineer and optimize enterprise security controls, including endpoint protection, threat detection and response, network security, email security, data protection, cloud access governance, and privileged access management. Define and apply Zero Trust security principles across the organization. Cloud security focus: Azure Advance Azure security, including governance with Entra ID, RBAC design, Conditional Access, Privileged Identity Management (PIM), Defender for Cloud, Defender for Cloud Apps, and Private Link architecture.

Role OverviewAs the DevOps Engineering Manager for Site Reliability Engineering (SRE) and Cloud Services, you will spearhead initiatives that guarantee the reliability, scalability, and performance of IntegriChain’s cloud platforms and production systems. Your leadership will encompass the management of DevOps and SRE functions, emphasizing cloud infrastructure, automation, and operational excellence.In this role, you will collaborate closely with application engineering, platform security, and IT teams to facilitate product delivery while upholding the highest standards for availability, resilience, and security. This position requires a balance of people leadership and hands-on technical involvement, making it crucial for the success of our SaaS platforms within the healthcare and life sciences sector.Typical Day in This RoleYour day begins with daily standups or operational check-ins with your team. You will assess system health, review ongoing work, manage incidents, and prioritize tasks to ensure that the team is focused on critical objectives and that potential risks are mitigated promptly. You will maintain close oversight of production systems through dashboards, alerts, and direct discussions with engineers.Throughout the day, you will actively engage with DevOps, SRE, and application engineering teams to eliminate obstacles and facilitate progress. This may involve troubleshooting issues, guiding technical decisions, or coordinating inter-team efforts to address dependencies. You will also play a pivotal role in design and architecture conversations, helping teams consider aspects of reliability, scalability, performance, and operational readiness.Given the team's operation across multiple time zones, you will dedicate time to coordinating efforts and ensuring clear communication across regions. You will establish shared processes, clear handoffs, and consistent expectations to ensure that work continues seamlessly around the clock.In the event of incidents or operational challenges, you will support response efforts, coordinate resolutions, and ensure follow-up actions are executed. Over time, you will drive lasting improvements by enhancing automation, cloud practices, and reliability standards.Key ResponsibilitiesLeadership in DevOps and SRELead and nurture a team of DevOps and SRE engineers to support cloud infrastructure and production systems.Establish clear priorities, objectives, and standards for reliability, performance, and operational readiness.Promote a culture of ownership, continuous improvement, and learning within the team.Cloud and Platform OperationsOversee cloud infrastructure across diverse environments, ensuring scalability, resilience, and cost-effectiveness.Champion the adoption of infrastructure as code, automation practices, and standardized tools.Collaborate with engineering teams to address platform needs and support production deployments.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions tailored to our clients' needs. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise settings. Enjoy a collaborative atmosphere where you can learn from and share insights with fellow analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive machine learning solutions and identify novel data science strategies that address business challenges.Offer technical leadership and work closely with teams to ensure alignment of technical solutions with customer requirements.Translate client specifications into data-centric processes, models, and analytical metrics.Analyze and transform extensive datasets across various enterprise-level platforms (e.g., AWS, Azure, GCP).Design, build, and deploy sophisticated analytical solutions utilizing client data (including recommender systems, natural language processing, and risk assessment).Optimize and scale machine learning systems to meet client needs effectively.Advance CapTech’s Machine Learning and Data Science practices by delivering client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.

About Us:At Perpay, a certified B Corp and one of Philadelphia’s most influential growth-stage startups, our mission is to enhance the financial stability of everyday Americans. Over the past decade, we've achieved a strong product-market fit and an efficient operating model across various offerings, establishing Perpay as the top financial partner for individuals with subprime credit.With over 500,000 customers utilizing more than $1 billion in spending power, we are at a crucial turning point. As we scale our operations, launch new products, and increase our impact, we seek passionate teammates ready to embark on this journey with us.We are proud to partner with industry leaders such as First Round Capital and L Catterton.Our impactful products include:Perpay Marketplace: A platform that merges interest-free payments with modern e-commerce, making ownership more affordable while promoting healthy repayment behaviors.Perpay+: A tool that uses Marketplace repayment history to help members track and improve their credit scores with all three major credit bureaus.Perpay Credit Card: A credit card offering enhanced access to the benefits of a World Mastercard, eliminating barriers like high security deposits and low approval rates.Our team thrives on in-person collaboration in our unique center-city Philadelphia office, designed to be a comfortable "home away from home". This space not only offers stunning river views but also promotes rapid product development, strong relationships, and career growth. The excitement from achieving significant milestones is palpable. While we primarily work in the office, we provide reasonable flexibility for personal needs, such as caring for sick children or handling urgent errands, and we organize official remote weeks around major holidays. If you are passionate about making a meaningful impact, fostering collaboration, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Senior Data Scientist at Perpay, you will play a key role in our business's daily success, driving both new and existing product initiatives with your analytical prowess and machine learning expertise. Additionally, you will help shape the future of our data science team by developing scalable processes and systems to support our rapid growth. This is a thrilling opportunity to positively influence Perpay’s mission and improve the lives of our customers. We seek an individual who is enthusiastic about all facets of data science, including machine learning, exploratory data analysis, and the effective communication of results for real-time deployments. This pivotal position is part of our data science team and reports to the Data Science Manager.

As a Senior Client Solutions Engineer at AHEAD, you will play a pivotal role in empowering enterprises to realize their digital transformation goals. You will collaborate with Client Directors to deliver compelling technical presentations and design innovative solutions tailored to our clients' needs. Your expertise will be critical in managing the technical aspects of sales campaigns, ensuring seamless transitions to our consulting and services teams, and nurturing strong client relationships. You will leverage your extensive knowledge of our Enterprise Cloud Framework—including Cloud Management, Security, Datacenter Infrastructure, and Public Cloud—to drive product and service sales across multiple segments, solidifying your reputation as a trusted technical thought leader.