Data Engineering Manager (Python, AWS, Airflow, Snowflake) - Hybrid

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.

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.

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.

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

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.

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...

Hippocratic AI develops generative AI systems for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, deliver over 99.9% accuracy in clinical interactions. The team includes physicians, hospital leaders, AI researchers, and engineers from leading institutions and technology companies. Hippocratic AI has secured $404M in funding, including a recent $126M Series C round led by Avenir Growth, and is valued at $3.5B. Investors include CapitalG, General Catalyst, a16z, Kleiner Perkins, and others in healthcare and technology. Role overview The Integration Engineer role centers on connecting healthcare data systems to Hippocratic AI’s clinical AI platform. This position involves working with Electronic Health Records (EHRs), APIs, and analytics pipelines to operationalize AI models at scale. The engineer will address healthcare interoperability, system architecture, and data engineering challenges. What you will do Design, develop, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL. Collaborate with delivery leads, product managers, and customer engineers to create and implement integration solutions based on current interoperability standards. Coordinate with offshore engineers to deliver high-quality integrations on schedule. Establish reusable integration patterns to improve performance and reliability across the platform. Requirements Experience with Python-based data transformation and interface development. Knowledge of healthcare interoperability standards such as HL7 v2, FHIR, and RESTful APIs. Ability to work with cross-functional and offshore teams. This position is based in Philadelphia, PA.

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.

Join our innovative team at usm2 as a Perl/Python Scripter. In this role, you will leverage your scripting skills to develop and maintain automated solutions that enhance our operational efficiency. You will collaborate with cross-functional teams to understand requirements and implement effective scripts that solve complex problems.

Position: Python DeveloperLocation: Philadelphia, PA (Local or Nearby)Contract Duration: 6+ MonthsEligibility: Must be a US Citizen, Green Card Holder, or EAD Green Card Holder.Interview: Face-to-Face RequiredKey Skills Required:- Proficiency in Python- Experience with Django framework- Familiarity with NoSQL databases

About the RoleSellers Dorsey is actively looking for a Senior Specialist in Conference & Events to join our Philadelphia office. Annually, we sponsor over 75 distinctive industry conferences and events, each necessitating meticulous management of attendee registrations, sponsorship obligations, and logistical arrangements for packing and shipping. In this pivotal role, you will partner with the Associate Director of Events and Association Partnerships, along with other marketing team members to devise event strategies, determine KPIs, identify target audiences, and establish necessary materials and communication channels for effective preparation across business units. Your proactive approach and organizational skills are vital, as you will coordinate attendee registrations, oversee shipping of conference materials, and may need to travel to assist in setting up and operating at exhibit booths.

About Us:At Perpay, we are proud to be a certified B Corp and a leading growth-stage startup in Philadelphia, committed to enhancing the financial stability of everyday Americans. For over ten years, we have achieved a strong product-market fit with a profitable and efficient operating model across a diverse range of products, establishing Perpay as the top financial partner for consumers navigating subprime credit.With more than 500,000 customers leveraging over $1 billion in spending power, we are at an exciting juncture. We are expanding our operations, creating innovative offerings, and amplifying our positive impact. We invite enthusiastic team members to join us on this transformative journey.Our venture partners include First Round Capital and L Catterton.Our impactful product offerings include:Perpay Marketplace: Merging interest-free payments with modern e-commerce to lower ownership costs and encourage responsible repayment behavior.Perpay+: Utilizing Marketplace repayment history to assist members in monitoring and improving their credit scores with all three major credit bureaus.Perpay Credit Card: Enhancing access to the benefits of a World Mastercard by eliminating common obstacles like high security deposits and low approval rates.Our team thrives on collaboration in our inviting center-city Philadelphia office, which provides stunning river views and fosters rapid product development, strong relationships, and career growth. The atmosphere is invigorating as we celebrate significant achievements together. While we primarily work on-site, we offer sensible flexibility for personal matters, including caring for sick children or urgent errands, and coordinate remote work weeks around major holidays. If you are passionate about making a difference, teamwork, equity, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Data Engineering Intern at Perpay, your primary focus will be on learning and development. We value mentorship and offer students a unique opportunity to gain valuable experience before graduation. During the 10-12 weeks of our internship in the summer of 2026, you will build data pipelines, design tools and infrastructure for large-scale data analysis, and tackle significant data warehousing challenges. You will collaborate with stakeholders to develop and implement innovative data solutions and extract actionable insights from complex datasets to guide management recommendations. In addition to engaging in impactful projects, you will have the opportunity to network with various business leaders to enhance your personal and professional growth.

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.

We are seeking a Senior Python Developer with over 6 years of experience in creating dynamic, scalable N-Tier web applications. The ideal candidate will be an expert in:Building dynamic web applications using Python in a Linux environmentObject Oriented Programming (OOP)Object Oriented Analysis and Design (OOAD)RDBMS and Object Relational Mapping (ORM)Implementing web application security practices, authentication mechanisms, and session managementDeveloping scalable RESTful web servicesDebugging complex Python web applicationsTransaction managementUI development using frontend technologies such as JavaScript, CSS, HTML5, and AJAXWorking with Python data structures

Join our dynamic team at Aretetechnologiesinc as a Python and PHP Architect. We are seeking a skilled individual who is passionate about developing innovative solutions and optimizing our technology infrastructure. As an architect, you will be responsible for designing, developing, and maintaining scalable applications that meet our business needs. Collaborate with cross-functional teams to enhance our software architecture and ensure high-quality deliverables.

As a Machine Learning Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions tailored for our diverse clientele. Your primary focus will be on the design and deployment of scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere that encourages knowledge sharing and continuous learning among our analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive end-to-end machine learning solutions, identifying novel approaches in machine learning and data science that fulfill business objectives.Translate client requirements into data-driven models and analytical frameworks.Handle and process extensive datasets across various enterprise-level data platforms such as AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimize and scale machine learning systems to meet client specifications effectively.Contribute to the growth of CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentorship of junior data scientists and engineers.