Role Description We are currently seeking a Remote Data Engineer to be part of the Data Engineering team. This position will design and develop an ingestion process for big data processing. - Translates business requirements into specifications for the Data ingestion process. - Understands the requirements, development, and delivery of data solutions and leads end-to-end delivery. - Develops and implements data pipelines to support organizational initiatives. - Builds and maintains ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources into a usable format. - Implements processes and tools to ensure data accuracy, consistency, and compliance with relevant policies and regulations. - Works closely with data scientists, analysts, and other stakeholders to understand their data needs and provide necessary data infrastructure and tools. - Ensures data systems are efficient, scalable, and performant to meet the demands of data-intensive applications. - Creates functional and technical design documents and maintains documentation for all data processes created or modified. Qualifications - 5+ years of experience building data ingestion processes and tools. - 5+ years of experience with DataBricks, Scala, Azure Data Factory (ADF), and SQL Server. - 5+ years of database experience with MS SQL Server. - 5+ years of experience in the healthcare industry with proven understanding of data terminology. - Healthcare experience and clear understanding and working knowledge of HIPAA protocols. - Experience with Microsoft’s Power-BI/SSRS/SSAS/Azure Data Factory and other cloud-based BI and reporting services is a plus. - BS in Computer Science, IT or equivalent, or 4 additional years of relevant experience. - Microsoft Azure Certification is a plus. Requirements - Excellent verbal and written communication skills. - Ability to effectively present information and respond to questions from groups of managers and customers. Essential Physical Functions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this fully remote job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. - Regularly required to talk or listen. - Regularly required to stand, walk, sit, use hands to handle or feel objects, tools, or controls; and reach with hands and arms. - Frequently lifts and/or moves up to 10 pounds. - Specific vision abilities required include close vision and the ability to adjust focus. Pay Range $113,332.00 - $169,999.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Equal Opportunity Statement Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. Disclaimer Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/ . If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com .

Role Description Kentro is hiring for a skilled and analytically driven SAM Remediation Data Engineer to support the Department of Veterans Affairs’ enterprise-wide Software Asset Management (SAM) Remediation on ServiceNow. This role sits at the intersection of data engineering and software asset intelligence, responsible for designing, building, and maintaining the analytics infrastructure that enables data-driven decision making across the SAM program. The ideal candidate combines deep ServiceNow Platform Analytics expertise with strong data modeling skills and a passion for translating complex data into actionable compliance and optimization insights. This is a critical role in advancing the VA’s SAM maturity and ensuring stakeholders have the intelligence they need to manage software assets effectively at enterprise scale. Location: This position can be performed remotely within the United States and will support Eastern Time working hours. Responsibilities - ServiceNow Platform Analytics Design and Implementation: - Design, build, and maintain ServiceNow Platform Analytics reports and dashboards tailored to SAM program needs, including software usage, compliance status, and license optimization opportunities. - Translate stakeholder reporting requirements into functional analytics solutions within the ServiceNow environment. - Ensure dashboards and reports are performant, accurate, and accessible to both technical and non-technical users. - Establish and document standards for report naming conventions, data refresh cadences, and dashboard governance. - Data Modeling and Integration: - Design and implement data models that support software asset tracking, compliance monitoring, and usage trend analysis within ServiceNow SAM. - Identify, evaluate, and integrate relevant external data sources — such as software publisher catalogs, contract data, and procurement records — into the ServiceNow platform to enrich internal analytics. - Collaborate with integration engineers and platform administrators to ensure data pipelines are reliable, well-documented, and aligned with VA data governance standards. - Maintain data quality standards, including validation rules, reconciliation processes, and exception handling procedures. - Predictive Analytics and Compliance Intelligence: - Develop predictive analytics models and trend analyses to forecast software usage patterns, license shortfalls, and compliance risk areas. - Build automated alerting and exception reporting to surface high-priority compliance gaps before they escalate. - Support software optimization analysis, identifying opportunities to consolidate licenses, retire unused software, and reduce costs. - Partner with internal and external stakeholders to align analytics outputs with program goals and VA needs. - Reporting, Documentation, and Stakeholder Support: - Produce recurring and ad hoc analytics reports for project leadership, VA Product Owners, and cross-functional stakeholders on a defined cadence. - Translate complex data findings into clear, concise narratives and visualizations appropriate for both technical and executive audiences. - Maintain thorough documentation of data models, report logic, integration mappings, and dashboard configurations to support knowledge transfer and audit readiness. - Provide training and guidance to team members and stakeholders on interpreting and using analytics outputs effectively. Qualifications - Must be a US Citizen or Green Card Holder. - Must be able to obtain and maintain a Public Trust clearance. - Bachelor’s degree in computer science, information systems, data science, or a related field (8 years of additional relevant experience may be substituted for education). - 8+ years of experience in data engineering, analytics, or business intelligence, preferably in an IT asset management or enterprise platform context. - Hands-on experience with ServiceNow, including Platform Analytics, Performance Analytics, or reporting toolsets. - Demonstrated experience designing data models and building analytics solutions that integrate internal and external data sources. - Strong proficiency in data query languages and tools (e.g., SQL, ServiceNow GlideRecord, or equivalent). - Experience working with software asset management or IT asset management data, including software usage records, license entitlements, and compliance metrics. - Strong analytical and problem-solving skills with the ability to translate ambiguous requirements into structured analytics solutions. - Excellent verbal and written communication skills, including experience presenting data findings to leadership and cross-functional stakeholders. - Experience working in federal or compliance-driven environments strongly preferred. Preferred Qualifications - Experience with ServiceNow Software Asset Management (SAM) Pro module, including normalized software library, reclamation rules, and compliance dashboards. - Familiarity with predictive analytics or machine learning techniques applied to IT operations or asset management data. - Experience integrating external data sources into ServiceNow using Import Sets, Data Sources, or Integration Hub. - ServiceNow Certified System Administrator (CSA), ServiceNow Certified Implementation Specialist – SAM, or Performance Analytics certification, or willingness to obtain. - IAITAM Certified Software Asset Manager (CSAM) or equivalent certification. - Experience supporting VA or other federal agency IT modernization programs. - Familiarity with Agile/Scrum delivery methodologies in a government contracting context. Clearance Requirement - US Citizen or Green card holder. - Willing and able to obtain and maintain Public Trust Clearance. - Must meet updated ID requirements: ID requirements . - If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. Benefits - Competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. - Education reimbursement for certifications, degrees, or professional development. - Flexibility for professional growth and networking opportunities. - Funds for activities – virtual and in-person, e.g., happy hours, holiday events, fitness & wellness events, and annual celebrations. - Commitment to community involvement through charity galas/events. - Positive workspace fostering creativity, innovation, and happiness.

Role Description We are building the data backbone for the next generation of AI-powered automation — and we need a Senior Full Stack Engineer who can operate across the full stack: from data ingestion pipelines to the polished frontend dashboards our enterprise customers rely on. This role is ideal for an engineer who thrives where data engineering meets product engineering. You will own the interfaces and services that make complex data meaningful and actionable — and you will work alongside automation engineers to ensure that RPA agents have the structured, reliable data they need to function intelligently. Key Responsibilities - Build and maintain frontend experiences for our data platform, including dashboards, data explorers, and workflow builders - Design and implement RPA agent integrations that interact with structured and unstructured data sources - Develop APIs and services that expose platform data to both internal consumers and customer-facing products - Contribute to the semantic layer that contextualises data for AI agents — including tagging, categorisation, and metadata enrichment - Collaborate with data engineers to ensure frontend and API layers align with underlying data models - Drive performance and scalability improvements across frontend and backend components Qualifications - Senior-level full stack experience with strong frontend depth in React and TypeScript - Experience building data platform or BI-adjacent frontends including dashboards, query interfaces, and real-time data views - Familiarity with RPA tooling and automation workflow design - Understanding of data modelling, ETL patterns, and API-first architecture - Experience with cloud data services such as Snowflake, BigQuery, or Redshift - Strong attention to UX detail and the ability to translate complex data into clear, usable interfaces - Must have prior remote work experience and proven ability to work independently within a distributed team Preferred Qualifications - Experience with semantic metadata layers or data cataloguing tools - Background in enterprise SaaS product development - Knowledge of streaming data technologies such as Kafka or Kinesis - Exposure to dbt, Airflow, or similar data pipeline tooling Tools & Technology - React / TypeScript - Python / Node.js - Cloud data warehouses (Snowflake, BigQuery, or similar) - RPA platforms (UiPath, Power Automate, or similar) - REST and event-driven APIs - Slack, Zoom, Google Workspace Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.