Jobs at DATA TEMPLATE

This entry-level opportunity targets candidates seeking to transition into Data Science or Java Full Stack development roles through a structured placement program. The role involves intensive skill-building in real-world tools such as version control, APIs, and cloud deployment, alongside resume optimization and interview coaching to align with current employer expectations. Participants gain hands-on experience with project depth and teamwork workflows required by major technology and financial firms. The program is particularly appealing for recent graduates, career switchers, and professionals with employment gaps who need a guided pathway to secure full-time positions. It offers a clear process to bridge the gap between academic learning and job-ready capabilities, with support available for visa-related employment processes once hired.

This position is a career development program rather than a direct employment role, designed to prepare candidates for Java microservices and junior data analyst opportunities. The program focuses on optimizing resumes, building real-world project depth, and preparing candidates for technical interviews to bypass automated hiring filters. Participants receive guidance on aligning their skills with current market demands in Java, full stack, and data analytics fields. The offering appeals to recent graduates, career switchers, and professionals with employment gaps by providing a structured path to secure roles at major technology and financial organizations. The program includes support for interview readiness and negotiation, with additional assistance available for visa-related processes upon securing employment.

This entry-level opportunity targets recent Computer Science, IT, or Data Science graduates seeking to transition into full-time roles as Data Engineers, Data Scientists, or Backend Developers. The position focuses on building production-ready skills through a structured pathway that emphasizes real-world projects, modern tech stacks like Java and Python, and interview preparation. Key responsibilities include developing scalable software solutions, managing data pipelines, and demonstrating end-to-end system capabilities to meet client needs. The role is appealing due to its placement-focused approach designed to bridge the gap between academic theory and industry demands, offering candidates a clear roadmap to employment with major organizations. The position is fully remote, providing flexibility for new graduates to launch their careers in high-demand technology sectors.

This senior leadership role at a Fortune 500 energy company involves directing the architecture and evolution of an enterprise data platform that powers analytics, operations, and AI initiatives across the organization. The position requires defining a multi-year strategy for a modern data stack including Snowflake and dbt, while championing agentic development practices and AI-assisted engineering workflows. Key responsibilities include establishing data governance and quality standards, managing cloud infrastructure costs, and leading a federated team of engineers and managers. The role is appealing for its opportunity to shape the future of data at a major industry player, offering a collaborative culture that values innovation, professional growth, and the chance to drive significant digital transformation.

This Systems Analyst role combines Salesforce administration with data analytics within a hybrid work model based in Merrimack, NH or Covington, KY. The position requires a subject matter expert to collaborate with business stakeholders, define system requirements, and deliver scalable CRM solutions. Key responsibilities include managing Salesforce data quality and governance, performing advanced data analysis using SQL, and executing ETL processes on cloud platforms like Snowflake. The role appeals to professionals seeking to leverage both technical administration skills and data engineering capabilities in a collaborative environment.

This Solutions Architect role focuses on data engineering within a global leader in AI and cloud services. The position involves designing and implementing secure, scalable end-to-end data solutions for enterprise clients while translating business needs into technical roadmaps. Key responsibilities include leading architecture discussions, conducting proof-of-concepts, and mentoring engineers using modern tools like Snowflake, Databricks, and AWS. The opportunity is appealing due to the company's rapid growth, award-winning collaborative culture, and commitment to professional development through advanced certifications. The role is remote-first with occasional travel for customer engagements, offering a chance to work alongside top talent on cutting-edge data challenges.

This role supports data center design teams by developing high-level and project-specific construction cost estimates for new infrastructure across U.S. markets. The estimator evaluates drawings and design packages using tools like RSMeans and historical data to determine expected costs for early-stage feasibility assessments and design alternatives. Key responsibilities include producing estimates from incomplete designs, benchmarking against past project data, and establishing cost comparability between options in fluctuating market conditions. The position appeals to professionals seeking to work within a diverse and inclusive environment that values authentic contributions. The role focuses on supporting internal design teams rather than general contractors and requires experience with mechanical or infrastructure-heavy projects.

This technical writer role supports data center mechanical systems by producing clear documentation for system designs, specifications, and test plans. Key responsibilities include developing system design documents and sequences of operations, translating engineering intent into written artifacts, and collaborating with design engineers to manage documentation throughout the project lifecycle. The position offers the opportunity to work on complex commercial infrastructure projects while contributing to a diverse and inclusive environment. The role involves close partnership with consulting engineering teams to ensure consistent and repeatable documentation standards.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on designing and implementing data architecture strategies specifically for the healthcare sector. The position involves leading initiatives to transform raw health data into actionable insights, ensuring compliance with regulations like HIPAA, and utilizing interoperability standards such as HL7 and FHIR. Key responsibilities include influencing key stakeholders to align on innovative solutions, mentoring high-performing teams, and applying generative AI techniques to solve complex operational challenges. The role is appealing for its opportunity to bridge clinical, operational, and technical conversations while driving strategic improvements in health systems. It offers a hybrid work arrangement with up to 80% travel, allowing professionals to engage directly with clients and deliver impactful results in a collaborative, inclusive environment.

The Director of Data Analytics leads advanced data initiatives within the Digital Investigations & Cyber Risk division, supporting complex investigations and risk assessments. Key responsibilities include designing and executing ETL processes for diverse datasets, transforming unstructured data into analysis-ready formats, and developing custom analytics models using Python and SQL. The role also involves creating data visualizations for stakeholders and managing eDiscovery workflows. This position appeals to professionals seeking to work with a top-tier investigative firm on high-profile matters involving financial crime and cyber defense. The role offers a collaborative environment with a multidisciplinary team and opportunities to engage with global clients across multiple offices.

This entry-level position targets recent Computer Science or IT graduates seeking to launch careers as Java Developers or Junior Data Scientists. The role involves building scalable enterprise applications using Spring Boot, designing custom software solutions, and integrating business logic with external components. Key responsibilities include developing web services, enhancing existing Java-based systems, and providing production support within a client/server environment. The opportunity appeals to candidates eager to gain hands-on experience with modern tech stacks and work on real-world projects that bridge the gap between academic theory and industry demands. The position offers a structured pathway for professional growth, allowing new graduates to develop production-ready skills in a collaborative team setting.

This entry-level position targets Java Spring Boot developers and data scientists seeking to bridge the gap between technical skills and interview success. The role involves performing application development for custom and enterprise-class systems, designing web services, and integrating business layers with external components. Key responsibilities include enhancing existing Java web applications, conducting testing, and supporting production environments using various Java technologies. The opportunity is appealing for candidates who have built projects but struggle to articulate their value, offering structured guidance on technical foundations, project narratives, and mock interview simulations. The position supports professionals navigating STEM OPT or visa processes and focuses on transforming job seekers into employer-ready candidates through practical, job-focused preparation.

This supervisory role at an Air Route Traffic Control Center involves overseeing flight data processing and communications services for the National Airspace System. The position requires managing Flight Data Communications Specialists to ensure accurate and timely data flow within the NAS. Key responsibilities include supervising daily operations, coordinating flight data activities, and maintaining communication systems. The role offers the opportunity to contribute to national aviation safety within a critical infrastructure environment.

The Sr. Director, Risk Adjustment Data & Analytics role is a senior leadership position within Alignment Health's data operations team, dedicated to advancing Medicare Risk Adjustment programs. The individual oversees the end-to-end data ecosystem, ensuring integrity and compliance while leading a multidisciplinary team of analysts and engineers. Key responsibilities include driving analytical insights for executive decision-making, maintaining rigorous data governance for audit readiness, and partnering with finance and clinical stakeholders to optimize revenue and care outcomes. This position appeals to candidates seeking to lead high-impact work in a mission-driven organization that prioritizes senior care. The role offers significant growth opportunities within a fast-growing company and is available in a remote work arrangement.

This entry-level position targets Java Spring Boot developers and data scientists seeking to launch or advance their careers in enterprise technology. The role involves designing and developing custom web applications, integrating business layers with external components, and providing production support for complex systems. Key responsibilities include writing scalable code, conducting testing, and collaborating with development teams to implement innovative solutions. The opportunity is appealing for candidates who possess strong technical foundations but require guidance on interview performance and project presentation. It offers a structured path to professional growth within a supportive environment that emphasizes practical skills and real-world problem-solving. The position is based on working with Java-based technologies in a client-server or web-deployed environment.

This entry-level position targets Java Spring Boot developers and data scientists seeking to launch or advance their careers in enterprise technology. The role involves designing and developing custom Java-based applications, integrating business layers with external components, and providing production support for web services. Key responsibilities include enhancing existing web applications, conducting code testing, and implementing innovative software solutions within a client-server environment. The opportunity is appealing for candidates aiming to work on complex, multitier systems while gaining hands-on experience with modern Java technologies. The position supports professional growth through exposure to real-world enterprise challenges and offers a pathway for those looking to transition into full-time development or data science roles.

This entry-level remote role targets recent graduates and career switchers seeking full-time positions as junior full stack developers or data scientists. The position involves building applications using Java and React, alongside data engineering and machine learning tasks for U.S.-based employers. The opportunity is appealing due to its focus on placing candidates with major tech companies and providing end-to-end job placement support rather than traditional outsourcing. The role is designed for individuals with limited experience who need to bridge the gap between academic training and industry requirements, offering a pathway to build a long-term career in technology without relocation.

This role is an entry-level position within SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for Java microservices and data science candidates. The program focuses on developing hands-on experience through end-to-end project work, covering system design, API development, and cloud deployment to prepare candidates for technical interviews. It appeals to recent graduates and professionals seeking to overcome interview barriers by providing structured coaching on problem-solving and project narratives. The opportunity offers a pathway to employment with major technology and finance firms, featuring support for career transitions and potential visa processing assistance.

This entry-level position targets Java microservices development and data engineering roles within the technology sector. The role focuses on bridging the gap between academic training and industry expectations by providing hands-on experience with modern tech stacks, including API design, backend architecture, and cloud deployment. Key responsibilities involve developing end-to-end solutions, mastering system design fundamentals, and preparing candidates for technical interviews at major employers. The opportunity is appealing due to its structured approach to career advancement, offering mentorship that transforms theoretical knowledge into job-ready skills. The program supports recent graduates and professionals returning to the workforce, with a focus on high-demand tracks like Java, Python, and data science. While the specific work arrangement is not detailed, the program emphasizes real-world project narratives and interview readiness to secure offers from top-tier companies.

This entry-level position targets recent graduates and career switchers seeking roles as Java Spring Boot developers or data scientists within the technology sector. The role involves developing scalable applications using Java and Spring Boot, analyzing complex datasets, and implementing machine learning models to solve business problems. The opportunity is designed for candidates with limited experience who need to bridge the gap between academic training and industry requirements. It offers a pathway to full-time employment with major tech and financial clients, providing access to in-demand skill development and potential support for visa sponsorship. The position focuses on building a practical career foundation in a competitive market.

This entry-level position targets software developers and data scientists seeking to bridge the gap between technical skills and interview success. The role involves providing structured coaching, mock interview simulations, and project narrative refinement to help candidates demonstrate practical value under time pressure. Key responsibilities include conducting realistic technical assessments, offering feedback on system design and communication, and guiding professionals through complex hiring processes. The opportunity appeals to individuals who struggle with live coding or explaining their work, offering a supportive environment to build confidence and clarity. The position is fully remote and focuses on preparing candidates for high-demand tracks such as Java, Python, Data Engineering, and Machine Learning.

This entry-level position targets recent graduates and career switchers seeking roles as Machine Learning Engineers, Data Scientists, or Software Developers. The role involves applying technical skills to real-world projects to bridge the gap between academic knowledge and industry demands. Key responsibilities include developing machine learning models, building data pipelines, and contributing to full-stack software solutions using languages like Python and Java. The opportunity is appealing for candidates aiming to gain practical experience and secure full-time employment with top tech companies. The position is fully remote and supports various visa types, offering a pathway for professionals with limited work history to launch their careers in data science and engineering.