Role Description The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving. Primary Responsibilities - Pipeline Design & Development: - Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies. - Data Transformation: - Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies. - Data Store Management: - Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization. - Automation & Monitoring: - Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution. - Data Quality Assurance: - Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity. - Documentation: - Create and maintain comprehensive documentation for ETL processes, data models, and system configurations. - Collaboration: - Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions. - Future-Proofing: - Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes. - All other duties as assigned by leadership. Qualifications - ETL development with Glue ETL, Python, Pyspark, RDS. - Solid understanding of data governance principles and data quality best practices. - Ability to work independently and as part of a collaborative team in an Agile environment. - Excellent problem-solving, analytical, and communication skills. Requirements - Bachelor’s degree in Computer Science, Information Systems, or a related field. - 10+ years of experience in data integration, ETL development, and data warehousing. - Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases. - Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation. - Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR. - Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering. Required Certifications - AWS certification (Minimum - Cloud Practitioner, AI Practitioner) Clearance Requirement - Must be a U.S. Citizen (No dual citizenship will be accepted) - Ability to obtain a favorable Public Trust investigation Work Location - Fairfax, VA/Remote Benefits - Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.

Role Description Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Senior Data Engineer - Managed Services - Support of client’s Azure Data platform and Power BI Environment, including response to any escalations while helping to analyze and resolve incidents for customers environment - Consult, develop and advise on solutions in Microsoft Azure with tools such as SSIS, SSRS, SSAS, Synapse, Data Factory, Databricks, Data Lake, Data Warehouse - Consult, develop, and advise on Power BI, including report development and modeling - Consistently learn, apply, and refine skills around data engineering and data analytics - Design and deploy data pipelines, models, and data driven solutions for clients in various industries - Understand and work with customer on licensing involving Microsoft data solutions, and understand the limits/advantages of each licensing platform - Preparing Data Analytic solutions for customers including importing data from multiple sources, performant star schema data models to be ingested via Power BI, and report and dashboard development. - Communicate ticket status information to all associated parties and escalate cases as appropriate - Interact with clients to identify issues, troubleshoot expediently, and follow up on issues via e-mail, ticketing system, and phone calls. Communicate technical issues and solutions with clients in business terms - Configure, administer, tune and develop client’s data environment based on contracted services - Create and maintain updated documentation for each client’s environment - Promote best practices for clients and internally to enhance and improve organizational processes - Participate in recurring discussions with clients to review current issues and to propose possible solutions - Collaborate with team members and client stakeholders to ensure our solutions align to our client’s needs Qualifications - Bachelor’s degree in Computer Science, Mathematics, or related field, or equivalent certification - Experience working in a support role and understanding standard support processes (i.e. ITIL) - 5+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSIS, SSRS, SSAS, ADF, SQL DW, Synapse, Databricks, Power BI, Power Automate, etc.) - Strong verbal and written communication skills - A passion for problem solving and learning new technologies - Client relationship skills and experience managing vendors - Ability to work in a fast paced, rapidly changing environment - Strong desire for personal development and learning, including commitment to continuously upgrading your technical skills as the data landscape changes - Work remote, but not alone – with a team filled top to bottom with data analytics professionals Requirements - Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. - At this time, we cannot sponsor applicants for work visas. Benefits - Flexible work location with a virtual first approach to work! - 401(K) with match up to 50% of your 6% contributions of eligible pay - Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days - Two medical plan options to allow you the choice to elect what works best for you! - Option for vision and dental coverage - 100% employer paid coverage for life and disability insurance - Paid leave for birth parents and non-birth parents - Option for Healthcare FSA, HSA, and Dependent Care FSA - $67.00 monthly tech and home office allowance - Utilization and/or discretionary bonus eligibility based on role - Employee Assistance Program to help with everyday challenges - 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. - Base Salary Range: $96,500 — $144,800 USD

Role Description We are seeking a highly skilled and business-focused Data Warehouse Manager to lead the strategy, architecture, development, governance, and operational support of our enterprise data warehouse and analytics platforms. This role will oversee the design and management of modern cloud-based data platforms, data integration pipelines, semantic models, reporting environments, and AI-ready data foundations supporting ERP, CRM, ecommerce, supply chain, finance, and operational analytics. The ideal candidate combines strong technical leadership with business process knowledge and experience managing enterprise-scale data environments in manufacturing, distribution, or ecommerce organizations. This individual must be a hands-on “player-coach” with advanced technical skills who can both lead a team and actively contribute to architecture, engineering, troubleshooting, and delivery execution. Key Responsibilities - Data Warehouse & Platform Leadership - Lead the administration, architecture, and optimization of the enterprise data warehouse environment. - Manage modern cloud data platforms including Microsoft Fabric, SQL Server, Lakehouse/Warehouse platforms, and related analytics technologies. - Define and maintain enterprise data architecture standards, modeling strategies, naming conventions, and governance practices. - Oversee dimensional modeling, semantic models, curated datasets, and enterprise KPI frameworks. - Data Integration & Engineering - Manage end-to-end data pipelines integrating ERP, CRM, ecommerce, WMS, finance, and third-party systems. - Oversee ELT/ETL development, orchestration, monitoring, and optimization. - Ensure secure and scalable API/OData-based integrations across enterprise applications. - Partner with application teams to support data onboarding and system harmonization initiatives. - Analytics & Reporting - Support enterprise reporting and self-service analytics using Power BI and Excel. - Manage shared semantic models, reusable business measures, and governed reporting datasets. - Collaborate with business stakeholders to deliver operational dashboards and executive reporting. - Ensure data freshness, performance optimization, and reporting reliability. - Data Governance & Quality - Implement enterprise data governance processes, stewardship, and master data management practices. - Develop data quality monitoring, reconciliation, lineage, and audit controls to drive compliance with the agreed-upon data governance plan. - Partner with business leaders to support data ownership, stewardship, and governance accountability across the organization. - Maintain security models and role-based access controls for sensitive data domains. - Leadership & Team Management - Lead, mentor, and develop a high-performing team of data engineers while incorporating offshore and contract resources into the overall delivery model. - Serve as a hands-on 'player-coach' leader capable of both managing the team and actively contributing to architecture, troubleshooting, optimization, and solution delivery. - Provide advanced technical leadership across data engineering, semantic modeling, integration architecture, and analytics platforms. - Establish development standards, deployment processes, operational support procedures, and technical best practices. - Manage project prioritization, vendor coordination, resource planning, and cross-functional collaboration. - Drive accountability, continuous improvement, and delivery execution across the data and analytics organization. - AI & Advanced Analytics Enablement - Support AI/ML and Copilot initiatives by building AI-ready enterprise data foundations. - Enable near real-time analytics, automation, and operational intelligence capabilities. - Partner with digital transformation and enterprise systems teams on strategic initiatives. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or 5+ years of equivalent hands-on experience in data warehousing, analytics, or data engineering environments. - 7+ years of experience in data warehousing, BI, or enterprise analytics environments. - 3+ years of experience managing and developing technical teams. - Proven experience operating as a hands-on technical leader with strong architecture and troubleshooting capabilities. - Strong background supporting data and analytics environments within manufacturing and distribution organizations. - Good understanding of how sales performance, customer segmentation, pricing, channel performance, and operational KPIs are measured within manufacturing and distribution environments. - Good understanding of ecommerce performance metrics, digital customer behavior, conversion analytics, and Google Analytics reporting within B2B and B2C ecommerce environments. - Strong experience with Microsoft Fabric, SQL Server / T-SQL, Power BI, Power Platform, Dataverse architectures, Data Lake/Lakehouse architectures, and API/OData integrations. - Experience designing and managing enterprise-scale ETL/ELT pipelines. - Strong understanding of dimensional modeling, semantic models, data ontology, enterprise data relationships, and governed business data structures. - Experience supporting ERP, CRM, and operational systems integrations. - Must have experience working in Git and/or Azure DevOps-based development environments, including source control, branching strategies, CI/CD pipelines, release management, and agile development practices. - Strong verbal, written, and presentation communication skills with the ability to communicate effectively across both technical and non-technical audiences. - Strong leadership and stakeholder management skills. Preferred Qualifications - Experience integrating systems such as Microsoft Dynamics NAV / Business Central, Dynamics 365 CRM, ecommerce platforms, and WMS systems. - Experience with Azure AI / OpenAI services, Databricks or PySpark, AI agents and automation platforms, Master Data Management (MDM), and Enterprise API architecture. - Familiarity with DevOps and CI/CD deployment practices. Technical Skills - Microsoft Fabric - Power BI - SQL Server / PostgreSQL - Power Platform - Dataverse - DAX - Data Modeling - Data Ontology & Semantic Modeling - REST APIs / OData - Python or Spark (preferred) - Git / Azure DevOps - Data Governance & Security Success Metrics - Improved enterprise reporting performance and data reliability. - Increased adoption of governed self-service analytics. - Reduced data latency and faster delivery of operational insights. - Improved data quality and consistency across systems. - Scalable foundation for AI and advanced analytics initiatives. Leadership Competencies - Strategic thinker with strong operational execution. - Strong collaboration across business and technical teams. - Ability to simplify complex technical concepts for business stakeholders. - Process-oriented with strong governance discipline. - Continuous improvement mindset with focus on scalability and automation. Physical/Environmental Requirements - Frequently remains in a stationary position and occasionally moves about the office or worksite to access files, supplies, or attend meetings. - Frequently uses hands and fingers to operate office equipment such as a keyboard, mouse, telephone, and other standard office tools. - Must be able to visually assess information on screens, documents, and reports. - Frequently reads, interprets, and analyzes written and visual information. - Occasionally lifts or moves items up to 10–15 pounds (e.g., files, laptop, meeting materials). - Must be able to effectively communicate information and ideas in person, via video conference, and through written communication. - Works primarily in an office or remote office environment with standard business equipment. - May require extended periods of screen time. - May occasionally be required to attend meetings or events outside of normal workspace or business hours. Accommodation Candidates for the position should be able to perform essential job duties in described work environment with or without accommodation. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Equal Employment Opportunity Infinite Electronics is proud to be an Equal Employment Opportunity and Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, marital status, age, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are committed to building a diverse workforce.

• Perform Data Architecture support for projects and enhancements, including crafting and executing data management, architecture, integration, and governance strategies. • Provide technical leadership for architecture, design, documentation, and maintenance of databases and related systems, including creating database storage structures, resolving database issues, and maintaining system security. • Support development and implementation of business applications that optimize statistical efficiency and data quality. • Identify, analyze, and interpret trends or patterns in complex data sets. • Monitor daily operations of data loads, identify data discrepancies and data quality issues, and ensure data consistency and integrity. • Participate in project and enhancement estimation exercises and project team meetings, providing input, task status, risk identification, mitigation strategies, and issue management. • Collaborate with business partners to transform business requirements into environment-specific ETL, reporting, and data validation designs, and prioritize business and information needs. • Design relational databases and physical data models to support enterprise applications, data acquisition, and security requirements. • Review database changes to ensure no performance or functionality impacts and ensure production stability.