Jobs at DATA TEMPLATE

The Senior Data Engineer role within Koch Industries' Data Management, Enablement and Transformation team focuses on designing and implementing robust data pipelines to support tax and finance initiatives. Key responsibilities include writing efficient SQL and Python code to optimize data flow, collaborating with architects on scalable solutions, and serving as a subject matter expert across cross-functional teams. The position emphasizes adherence to SDLC and Agile frameworks while ensuring data governance and security. This opportunity appeals to candidates seeking an entrepreneurial culture that values innovation and individual contribution, offering flexibility with onsite presence in Wichita, Plano, or Atlanta. The role provides a chance to work with modern cloud technologies and contribute to a global organization dedicated to creating value across diverse industries.

The Senior Data Engineer role within Koch Industries' Data Management, Enablement and Transformation team focuses on designing and implementing robust data pipelines to support tax and finance initiatives. Key responsibilities include writing efficient SQL and Python code to optimize data flow, collaborating with architects on scalable solutions, and serving as a subject matter expert across cross-functional teams. The position emphasizes adherence to SDLC and Agile frameworks while ensuring data governance and security. This opportunity appeals to candidates seeking an entrepreneurial culture that values innovation and individual contribution. The role offers onsite presence with flexibility in Wichita, Kansas, Plano, Texas, or Atlanta, Georgia, providing a chance to work on transformative technology projects within a diverse, global organization.

This senior AI Engineer role focuses on designing and deploying intelligent conversational solutions within a hybrid team based in Charlotte, North Carolina. The position requires utilizing Azure AI Studio, Databricks, and VS Code to build AI agents, manage MLOps pipelines, and integrate services into web applications using Python frameworks. Key responsibilities include developing secure REST endpoints, optimizing model performance, and ensuring adherence to data privacy standards. The role appeals to candidates seeking to work with cutting-edge generative AI technologies and collaborate across cross-functional teams. The hybrid work arrangement requires onsite presence two to three days per week, offering a balance of remote flexibility and in-person collaboration.

This Senior AI Data Engineer role supports mission-critical classified programs by designing secure, scalable data infrastructure for advanced AI and machine learning workloads. Key responsibilities include building secure data pipelines for batch and real-time processing, implementing ontology-driven data models using semantic technologies like RDF and SPARQL, and ensuring rigorous data governance and security compliance. The position appeals to candidates seeking to solve complex challenges within a culture that values purposeful innovation and offers flexible work schedules. The role requires a blend of technical expertise in Python and distributed processing frameworks alongside experience in highly regulated environments, providing an opportunity to mentor junior engineers and contribute to national security initiatives.

This contract Data Analyst role supports the health system's contracting and reimbursement strategies within the Tulsa, Oklahoma office. The position involves analyzing contract performance, developing financial projection models in Epic, and negotiating terms with payors to ensure compliance and maximize revenue. Key responsibilities include auditing financial data, resolving contractual disputes, and maintaining data integrity for physician and hospital contracts. The role appeals to candidates seeking to apply analytical skills in a complex healthcare environment with opportunities to influence strategic negotiation outcomes. Success requires Epic certification and strong collaboration with internal teams and external partners. The position is on-site and requires W2 employment status.

The Finance Data Analyst role is a remote position within the Data Science and Analytics department, focused on delivering business solutions to finance operations teams. The individual will capture, shape, and present data using modern reporting platforms to support Order-to-cash and Procure-to-pay processes. Key responsibilities include engaging with business leaders to define project requirements, integrating data from multiple source systems into standardized formats, and creating dashboards to track key performance indicators. The position offers an opportunity to work with emerging technologies such as agentic AI and RPA while developing expertise in tools like Power BI and SQL. This role appeals to candidates seeking a collaborative environment where they can apply Lean Six Sigma methods to improve critical business processes.

This remote Finance Data Analyst role supports finance operations teams by delivering business solutions through modern reporting platforms. The position focuses on capturing, shaping, and presenting data into clear dashboards and tables to optimize Order-to-cash and Procure-to-pay processes. Key responsibilities include collaborating with business leaders to define project requirements, integrating data from multiple sources into standardized formats, and developing visual tools to track key performance indicators. The role also involves exploring emerging technologies like agentic AI and RPA to enhance business efficiency. This opportunity appeals to candidates seeking to apply their skills in Power BI, SQL, and Lean Six Sigma within a collaborative environment. The position offers full remote flexibility and is ideal for recent graduates or professionals with up to one year of experience looking to grow their expertise in data analytics and finance.

The Senior Data Scientist II role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves developing NLP and large language model strategies, defining agentic workflows for complex multi-step tasks, and establishing robust evaluation metrics for hybrid search systems. Key responsibilities include analyzing large-scale legal datasets, translating experimental results into product recommendations, and mentoring junior team members. This opportunity appeals to professionals seeking to lead technical initiatives in a global organization committed to ethical AI and societal impact. The role offers a collaborative environment where data scientists work closely with engineers and legal experts to build scalable, customer-facing tools.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

The Senior Mortgage Risk Data Analyst role serves as a subject matter expert within the Risk and Compliance department, focusing on the independent preparation and validation of operational and regulatory data for senior management and investors. Key responsibilities include managing Mortgage Call Report submissions across all 50 states, analyzing loan data to identify trends and compliance risks, and collaborating cross-functionally to strengthen reporting controls. This position appeals to professionals seeking a remote opportunity to apply their deep mortgage industry knowledge in a paperless environment. The role offers the chance to drive process improvements, mentor junior staff, and ensure regulatory accuracy while working with advanced analytics tools.

This Principal or Senior Principal Systems Engineer role within Northrop Grumman's Aeronautics Systems division in Melbourne, FL, focuses on Technical Data Package Delivery and Product Lifecycle Management. The position involves supporting the Systems Engineering Manager, collaborating with subject matter experts to ensure technical quality, and creating training documentation. Key responsibilities include reviewing technical documentation, utilizing CAD and PLM tools like Teamcenter and NX, and applying the Systems Engineering V model. The role offers the opportunity to work on revolutionary aerospace systems that impact global history, fostering a culture of intellectual curiosity and innovation. While the position requires a Secret clearance and involves approximately 10% travel, it provides a chance to join a diverse team of highly motivated engineers in a pioneering environment.

This onsite Senior RF Data Link Engineer role within the RF Products department at Raytheon focuses on designing and testing wireless communication systems for tactical missile programs. The position involves performing link budget analyses, developing data link models and signal processing algorithms, and collaborating with stakeholders to manage program delivery. The role appeals to engineers seeking to contribute to high-capacity, covert data link technologies that support national defense missions. Candidates will work in a collaborative culture rooted in safety and innovation, with opportunities for professional growth in a challenging technical environment. The position requires U.S. citizenship and a Secret security clearance, and is based in Tucson, Arizona.

The Associate Director, Data Science role within the University Advancement Data Strategy and Innovation team focuses on transforming data into actionable insights to support fundraising and engagement operations. Key responsibilities include developing machine learning models for prospect management, leading the data science team through hiring and mentorship, and communicating complex analytical findings to both technical and non-technical stakeholders. This position appeals to creative thinkers who enjoy driving strategic planning and fostering a culture of data-driven decision-making. The role offers the opportunity to shape the department's analytical framework while working collaboratively with senior leadership to execute innovative solutions.

This full-time remote role for a U.S.-based team focuses on leveraging advanced SQL skills to analyze large financial datasets for crime prevention. The position involves building complex queries to investigate suspicious activity related to Anti-Money Laundering and Know Your Customer protocols, while translating findings into actionable intelligence for regulatory reporting. Key duties include collaborating with risk and compliance teams to ensure adherence to U.S. financial regulations and maintaining strict data governance standards. The role is appealing for its opportunity to make a meaningful impact in combating financial crime within a flexible, fully remote environment that values analytical precision and professional growth.

The Senior Financial Data Analytics Analyst role supports the Procurement and Financial Shared Services team at Vail Resorts, a global leader in destination resorts. The position focuses on optimizing Extract, Transform, and Load workflows using Alteryx and SQL, while developing financial and procurement dashboards with Power BI. Key responsibilities include ensuring data integrity, driving process automation, and providing analytical insights to support cost savings and strategic decision-making. This opportunity appeals to candidates seeking career growth within a high-performing team that prioritizes innovation and leadership development. The role offers a hybrid work arrangement for those based near the Broomfield office, combining on-site collaboration with remote flexibility. Additionally, employees enjoy unique perks such as free ski passes, lodging discounts, and comprehensive professional development programs.

The Associate Director, Data Engineering role within Omnicom Health Group's Digital & Analytics team focuses on developing analytics products and supporting market access strategies for pharmaceutical clients. Key responsibilities include writing code in R or Python, managing SQL databases, building data pipelines on cloud platforms like AWS or Azure, and creating interactive dashboards using tools such as Tableau or Power BI. This position appeals to candidates seeking to deepen their expertise in the pharmaceutical industry while working in a consultative capacity. The role offers significant career growth potential through the company's extensive network, allowing professionals to pivot across different organizations and build diverse skills. The environment emphasizes inclusive team development and the opportunity to work with emerging technologies like AI and LLM models.

This full-time Senior Software Developer/Data Scientist role supports the U.S. Air Force Cyber Capabilities Support Office and Cyber Command within a multi-disciplinary team. The position requires a Secret clearance and involves developing machine learning, statistical, and graph-based algorithms to analyze complex datasets. Key responsibilities include creating data visualizations, building resilient data pipelines in cloud environments, and translating qualitative analysis goals into automated software solutions. The role appeals to candidates seeking to apply advanced analytics to national security missions while collaborating with subject matter experts. Work is conducted on-site with a focus on integrating prototypes into production frameworks for analyst workflows.

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.

This position is part of a Job Placement Program designed to prepare candidates for entry-level roles in Java development, data science, and data engineering. The program focuses on bridging the gap between academic knowledge and employer expectations through structured skill-building, real-world project development, and interview readiness coaching. Key responsibilities include refining resume positioning, mastering industry tools like version control and APIs, and demonstrating hands-on ability in clean coding and debugging workflows. The opportunity appeals to recent graduates, career switchers, and professionals seeking to re-enter the workforce by providing a clear pathway to employment with major technology and financial brands. Participants receive ongoing support throughout the job search process, including guidance on STEM extensions and visa filing assistance for qualified international candidates.

This entry-level opportunity connects recent graduates and career switchers with full-time roles as Junior Software Programmers, Fullstack Developers, or Data Scientists at major technology firms. The position focuses on bridging the gap between academic knowledge and practical industry skills, with key responsibilities including developing applications using Java or Python, building data pipelines, and implementing machine learning models. The role is appealing for candidates seeking to launch their careers at companies like Google or PayPal, offering access to real-world tools and a supportive environment designed to help professionals with limited experience or career gaps succeed. The program also provides assistance with visa filings for eligible candidates and emphasizes a collaborative approach to securing interviews and job offers.

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.