eSimplicity

Job DescriptionJob DescriptionDescription: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated Data Engineer to join our data analytics team. In this role, you will support the design, build, and optimize scalable data pipelines and services that power advanced analytics and machine learning solutions. This role emphasizes data quality, performance, and interoperability in modern cloud environments. The engineer will ensure secure, efficient, and reproducible data workflows that support predictive modeling, real-time monitoring, and actionable insights. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award. Responsibilities: Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data. Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources. Optimize pipelines for performance, scalability, and fault tolerance using open-source and cloud-native patterns. Manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and cloud storage access from Python services. Deploy workflow orchestration using Azure Data Factory or Foundry for scheduling, monitoring, and automation. Ensure secure integration of APIs and services within the Microsoft ecosystem for seamless data exchange. Build Python-based data services leveraging libraries such as Pandas, Pytorch, and other open-source frameworks for high-performance processing. Implement logging, monitoring, and performance tuning for robust operational reliability. Develop API endpoints and microservices to enable interoperability with analytics and ML platforms. Work closely with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards. Apply data governance best practices, ensuring compliance, reproducibility, and auditability across workflows. Contribute to Agile team processes, driving iterative improvements and shared problem-solving. Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement. Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with business goals. Translate technical specifications into code and design documents. Requirements: Required Qualifications: Bachelor's degree or equivalent professional experience in Data Science, Computer Science, Engineering, or related field. All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. 3+ years developing and deploying advanced statistical and machine learning models or supporting data pipelines for such models. Proficiency in Python (Pandas required; scikit-learn, NumPy, and related libraries preferred). Strong SQL skills and experience integrating data from relational databases. Familiarity with open-source data processing libraries (Pandas, PyTorch, Tensorflow etc.). Open-source frameworks for production-grade data pipelines. ETL development using Python and Microsoft technologies. Data validation, schema enforcement, and quality assurance. API development within Microsoft ecosystem. Performance optimization, logging, and monitoring for large-scale systems. Azure Data Lake Storage integration and Azure SQL connectivity. Workflow orchestration with Azure Data Factory. Deployment and operation of Python-based data services in Azure. Strong attention to detail with a commitment to delivering high-quality and accurate work. Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams. Proven ability to manage time and prioritize tasks in a fast-paced environment. Demonstrated problem-solving skills with a proactive and solution-oriented mindset. Preferred Qualifications: Knowledge of data engineering patterns for scalable, secure systems in regulated environments. Hands-on experience in cloud environments (Azure); Microsoft Data Engineer certification is advantageous. Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

Job DescriptionJob DescriptionDescription: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated Senior Full-Stack Developer to join our innovative data analytics team. In this role, you will be responsible for designing and implementing enterprise-level backend and frontend solutions within a modernized Azure-based data ecosystem. This role emphasizes scalability, security, and integration with advanced analytics and data-sharing tools. This role integrates analytical and AI solutions within existing system architectures and workflows. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award. Responsibilities: Design and implement enterprise-level backend and frontend solutions within a modernized Azure-based data ecosystem. Develop scalable and secure analytics and data-sharing tools. Integrate analytical and AI solutions within existing system architectures and workflows. Requirements: Required Qualifications: Bachelor's degree in computer science, Information Systems, Engineering, Business, or other related scientific or technical discipline 7+ years of professional software development experience, with 4+ years building backend systems at scale. Solid understanding of data warehousing and ETL/ELT patterns. Deep hands-on experience with Microsoft Azure, including: Azure Data Lake Storage (ADLS Gen2) - data organization, security, performance tuning. Azure Synapse Analytics - SQL pools, Spark pools, data warehousing, performance optimization. Azure Data Factory (ADF) - complex pipelines, triggers, parameterization, monitoring, and error handling. Self-hosted Integration Runtime - setup, scaling, networking, security, and troubleshooting. Strong expertise in SQL and Java. Familiarity with Azure networking (VNET, private endpoints, firewalls). Knowledge of medallion architecture. Proficiency with Azure DevOps for CI/CD pipelines (YAML), build/release automation, repo management, branching strategies, and code reviews. Strong attention to detail with a commitment to delivering high-quality and accurate work. Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams. Proven ability to manage time and prioritize tasks in a fast-paced environment. Demonstrated problem-solving skills with a proactive and solution-oriented mindset. Preferred Qualifications: Advanced knowledge of Azure networking and security. Experience with CI/CD and DevOps practices. Preferred experience working in government programs and/or regulated environments. Soft leadership skills - including mentoring of other technical personnel on the program. Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

Job DescriptionJob DescriptionDescription: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated AI/ML Engineer to join our data analytics team. In this role, you will support the design, deployment, and operation of production-grade A.I. systems - using analytics to shorten time to action. This role supports end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and building A.I. agents that translate signals into timely, actionable decisions. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance This position is contingent upon contract award Responsibilities: Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines Support model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments) Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development. Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals Translate technical specifications into code and design documents Requirements: Required Qualifications: Bachelor's degree in computer science or related field Experience: 3+ years hands-on developing and deploying AI/ML models in production environments Programming: Proficient in Python (including packaging, testing, performance optimization) ML Expertise: Understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale Data Skills: Proficient in data preprocessing, feature engineering, and data visualization for decision support Deep Learning & MLOps: Proficient with PyTorch/TensorFlow, and modern MLOps (deployment, monitoring, scaling, CI/CD, experiment tracking, model registry) Cloud: Experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse, Azure Data Lake) AI Agents: Experience developing AI agents in Copilot Studio and via Python frameworks (tooling, orchestration, retrieval, connectors) Strong attention to detail with a commitment to delivering high-quality and accurate work Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams Proven ability to manage time and prioritize tasks in a fast-paced environment Demonstrated problem-solving skills with a proactive and solution-oriented mindset Preferred Qualifications: Experience with streaming/event-driven architectures (Event Hubs), feature stores, and vector databases (for retrieval-augmented generation) Hands-on with responsible AI (fairness, explainability, privacy), model governance (model cards, audits), and security in cloud ML Familiarity with domain-specific risk analytics and public sector/regulated environments Certifications in Azure AI/ML and/or?MLOps are advantageous Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits.

Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

Job DescriptionJob DescriptionDescription: About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Position Overview: We seek a Senior Capture Manager, Health aimed at individuals committed to leveraging advanced technology and software development to make a positive impact on the way the Federal government delivers and improves health services to Americans. If you possess a zeal for driving technological advancements within federal health agencies, we invite you to contribute to our mission of making a decisive impact. Responsibilities: Coordinate capture activities across the organization, leading the charge in developing compelling and compliant proposal outlines, storytelling, and response strategies. Bring capture expertise to facilitate technical and management and pricing solutions with programs and proposal teams. Make recommendations, decisions or seek feedback from executive leadership when needed. Act as the primary storyteller for proposals and business development efforts, crafting narratives that resonate with business challenges and highlight impactful solutions and outcomes. Work in tandem with leadership, business development, and technical teams to craft winning themes, develop strategic responses, and negotiate roles and responsibilities with partners early in the bidding process. Serve as a bridge between BD, proposals, operations, and project teams, ensuring seamless communication and collaboration across different functional areas to align efforts and strategies for winning new work. Proactively conduct market research and analysis to identify emerging trends, opportunities, and competitive threats within federal healthcare sectors, using this intelligence to position eSimplicity advantageously. Develop and maintain strong relationships with key stakeholders in target agencies, understanding their challenges and requirements to tailor solutions that meet their needs while aligning with eSimplicity's capabilities. Forge and nurture strategic partnerships, recommending teaming partners to augment our value proposition to customers and elevate our probability of winning (Pwin). Requirements: Required Qualifications: 10+ years of experience in Strategic Capture, and Business Development within the federal structure. Demonstrated ability to operate independently with minimal supervision, making strategic decisions and driving BD and capture activities to successful outcomes. Demonstrated, job-related experience with the Centers for Medicare & Medicaid Services (CMS), including knowledge of CMS organizational structure, programs, stakeholders, acquisition processes, and the CMS contractor ecosystem, as required to successfully perform the duties of this role. Proven experience in Agile methodologies, emphasizing user experience and modern technology solutions, including AI, analytics, and DevSecOps. Demonstrated ability to craft strategic proposals, manage complex proposal processes, and embody the Agile philosophy through continuous improvement. Ability to quickly adapt strategies and approaches in response to changing market conditions or customer needs, maintaining a proactive stance in pursuit of new business opportunities. Proven experience working effectively with diverse teams, including operations, technical, proposal, and project management groups, fostering a collaborative environment that encourages sharing of knowledge and best practices. Exceptional communication skills, with the ability to articulate complex solutions and strategies to a variety of audiences, including executive leadership, technical teams, and non-technical stakeholders. Strong influencing skills to garner support from internal teams and external partners. Desired Qualifications: A track record of successfully leading and winning large-scale, competitive bids, showcasing the ability to manage the full lifecycle of capture from opportunity identification through proposal submission and award with federal health agencies such as CMS, CDC, FDA, and NIH. Comprehensive understanding of healthcare agency structures, key personnel, programs, and the contractor ecosystem, particularly within the CDC, FDA, and NIH. Deep understanding of eSimplicity's core capabilities, including modern software development practices (Agile, DevSecOps, Human-Centered Design), data science, AI/ML, and advisory services, with the ability to articulate and position these capabilities to meet customer needs. Current or ability to obtain a security clearance, ensuring compliance with federal government requirements for handling sensitive information and working on classified projects. Working Environment: eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.