We are seeking a skilled and motivated Analytics / Data Engineer to join our IT Enterprise Solutions team. This role is ideal for someone with a strong foundation in SQL Server, Oracle Databases, cloud data platforms (Azure and/or AWS), and business intelligence, who thrives on building reliable data pipelines and transforming data into trusted, analytics-ready models for reporting and decision-making. The ideal candidate brings hands-on experience with Power BI (including semantic models, DAX, and data modeling) and a passion for delivering high-quality, scalable, and governed analytics solutions that support enterprise reporting, dashboards, and self-service BI. Responsibilities Data Engineering & Integration - Design, develop, and maintain robust data pipelines and ETL/ELT processes using Azure Data Factory, SSIS, or similar tools. - Support and enhance data integrations between enterprise applications and external data sources (batch and near real-time). - Manage and optimize Azure SQL PaaS and on-prem SQL Server and Oracle Database environments for performance, scalability, and security. - Collaborate with application teams to ensure seamless data feed operations and troubleshoot integration issues. - Participate in DevOps and CI/CD workflows for data and analytics solutions. Analytics Engineering & Business Intelligence - Develop, optimize, and govern Power BI semantic models (datasets), including relationships, measures, and calculated columns. - Write and optimize DAX measures to support complex business logic and performance-efficient reporting. - Develop and maintain Power BI dashboards and reports, ensuring usability, performance, and consistency across the organization. - Partner with business stakeholders to translate reporting requirements into scalable, reusable analytics assets. - Implement and enforce Power BI governance practices, including workspace design, dataset reuse, security (RLS), and deployment standards. Data Governance, Quality & Security - Implement and maintain data governance, data quality, lineage, and documentation practices. - Ensure compliance with data security, privacy, and access control standards across data and analytics platforms. - Support auditing, monitoring, and certification of enterprise datasets and reports. - Develop and maintain operational runbooks covering: - Break/fix procedures - Refresh restarts and failure remediation - Access provisioning and troubleshooting - Participate in ITIL-aligned processes including incident, problem, change, and release management. - Performs other related duties as assigned. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. - Applicants must be authorized to work in the United States without the need for current or future visa sponsorship. - Must reside in Eastern Time Zone. - 3+ years of experience in data engineering, analytics engineering, or business intelligence roles. - Strong proficiency in SQL Server, Oracle, T-SQL, and Azure SQL PaaS. - Hands-on experience with Power BI, including: - Semantic model (dataset) design - DAX measures and calculations - Report and dashboard development - Solid understanding of data modeling, dimensional modeling, and data warehousing concepts. - Experience supporting application data integrations and analytics use cases. - Strong performance tuning skills for both SQL queries and Power BI models. - Limited travel may be required. Preferred - Experience with Azure Data Factory, Azure Synapse, Azure Data Lake, or Fabric. - Familiarity with AWS data services (e.g., Redshift, S3, Glue). - Experience with SSIS, SSRS, and SSAS (Tabular). - Exposure to Python or other scripting languages for data transformation and automation. - Experience with Power BI deployment pipelines, workspace governance, and tenant-level best practices. - Familiarity with DevOps and CI/CD pipelines for data and analytics workloads. - Experience with data cataloging, metadata management, and lineage tools. - Security+ certification or ability to obtain a DoD clearance is a plus. About Us Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that provides government agencies and commercial organizations with high-quality IT, professional, environmental, and research and development services. DDC is dedicated to empowering the Navajo Nation and communities we serve. Benefits Eligible full-time employees receive a comprehensive benefits package, including medical, dental, vision, life and disability coverage, retirement savings with company match, paid time off, voluntary supplemental benefits, and access to an employee assistance program. The package also includes educational assistance, with tuition reimbursement. EEO Statement This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

The Opportunity You'll own the full data stack for cybersecurity intelligence at QuoIntelligence, building and evolving the pipelines that power our Mercury platform and analyst workflows. This is a role where your architectural decisions have real, visible impact, and where you'll collaborate closely with a small, expert team of two engineers on the data side. Our platform runs on DigitalOcean with a custom-built infrastructure: ZMQ message queues, Docker containers, hand-rolled deployment pipelines, and in-house-maintained Python libraries. It was built before today's managed services existed, and it works because engineers who genuinely understood distributed systems built it from the ground up. The first major project is leading our migration to AWS, transitioning from this custom infrastructure to managed services, without disrupting production. It's the kind of challenge that requires both depth and adaptability: keeping what exists healthy while architecting what comes next. If you thrive in that kind of dual mandate, this role was designed for you. You'll Thrive Here If... You enjoy working across the full stack rather than specializing deeply in one layer. You're energised by inheriting a well-built yet unconventional system and improving it. You're comfortable with ambiguity and find it motivating rather than frustrating. And you want your work to matter not just to a ticket queue, but to the analysts and products that rely on it every day. This is probably not the right fit if your data engineering experience is entirely on managed platforms like Databricks, Snowflake, or BigQuery, or if you're looking for a fully provisioned cloud environment from day one. The AWS migration is the destination you'll help us get there. One more thing: this is an AI-native company. Our products run on AI. We expect engineering to run on it, too. If your relationship with AI stops at asking ChatGPT to explain error messages, this isn't the right fit. What You'll Do - Build and design data pipelines for ingestion, processing, and modeling of cybersecurity intelligence that feeds Mercury and analyst workflows - Partner with Threat Intelligence Engineers on data access patterns, tool integration, and evolving data sources as priorities shift - Shape the team's technical direction: with two engineers, your judgment carries weight - Keep the existing DigitalOcean platform running: manage containers, handle library updates, and debug custom services with confidence - Lead the AWS migration: plan and execute the transition to managed services, with measurable benchmarks at every phase AI-First in Data Engineering AI is an operating principle here. We use AI tools as a core part of how we work. On a lean team maintaining hand-built infrastructure, they're what let us move at the pace of a much larger engineering org. AI as an operating system. You use Copilot, Claude, Cursor (or equivalents) daily to navigate Go services you didn't write, debug custom ZMQ queues, and generate Docker configurations as part of your daily workflow. Evaluate, Integrate, Repeat. Not every AI-generated suggestion belongs in a pipeline processing cybersecurity intelligence data. You test tools against QI's actual problems (migrating custom services to AWS, parsing threat feed data, maintaining manually versioned Python libraries) and drop what doesn't hold up in production. Define success first. Every pipeline feeding Mercury has defined criteria before it ships: ingestion throughput, data freshness, and error rates. We run the AWS migration on measurable benchmarks at each phase, not just "it works on staging." AI accelerates the testing loop, but the loop needs a target. What You'll Bring Must-haves: - Python as your primary language for data engineering work - A solid foundation in pipeline design, you can reason about data from ingestion through modeling - Docker fluency: deploying, debugging, and managing containerized services is routine for you - Experience building custom solutions when no off-the-shelf solution fits, writing the infrastructure yourself, not just assembling managed services - Cloud platform experience (AWS preferred, GCP, or Azure also relevant): enough to architect the target state of a managed-services migration - Microservices architecture or distributed systems: you've designed or maintained service-oriented systems - Working familiarity with Go: you'll read, debug, and modify Go code in some production services. Side projects and CLI tools count; we expect a ramp-up period You'll also need professional proficiency in English (the team works across countries). Nice-to-Haves: - Redis or ZMQ experience for message queuing - Legacy system maintenance: keeping aging infrastructure healthy while building its replacement - Cybersecurity or threat intelligence background Recruitment Process We aim to be as transparent as possible throughout the process and will share updates with you whenever we have progress on our end. To manage your expectations transparently, we have structured the recruitment process as follows: 1. Recruiter Screen 2. Take-Home Assignment 3. Technical Interview 4. Culture Add Interview 5. Offer & Background Check We welcome applications regardless of gender, nationality, ethnic origin, religion, disability, age, or sexual identity. Diversity is key to producing high-quality intelligence.

Clinical Data Coordinator - Bangalore, India ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking a Clinical Data Coordinator II to join our diverse and dynamic team. As a Clinical Data Coordinator II at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of inNvative treatments and therapies. What you will be doing  - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project team, and functional management. - Address data related questions and recommend potential solutions. - Identify root cause to systematically resolve data issues. Your profile  - Bachelor's degree in a relevant field, such as Life Sciences or Healthcare. - Intermediate kNwledge of clinical data management within the pharmaceutical or biotechNlogy industry. - Familiarity with data management software and systems (e.g., Medidata, Oracle RDC, or similar). - Strong attention to detail and the ability to work effectively in a fast-paced environment. - Excellent communication skills and the ability to collaborate with cross-functional teams. - KNwledge of regulatory guidelines and standards (e.g., ICH-GCP) is a plus. What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: - Various annual leave entitlements - A range of health insurance offerings to suit you and your family’s needs. - Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. - Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being. - Life assurance - Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

• Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands • Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data • Lead the design of secure, cost-efficient data architectures • Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls • Act as a strategic 'sparring partner' for Analytics, ML, and AI teams • Manage and tune data platforms for peak performance • Mentor junior members and foster a culture of technical excellence