Lead Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description Responsibilities: Design and develop scalable data processing systems; Implement and maintain data pipelines
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Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior) Company: The Boeing Company The Boeing Company is currently seeking a Systems Software Engineer (Associate, Experienced or Senior) to support our Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri (St. Louis, MO area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced and Senior Level Software Engineers. The Network Centric Operations Team designs, develops, and implements platform-agnostic software capabilities that enable network operations for tactical fighter aircraft. As a Data Fusion Software Engineer, you’ll develop and prototype advanced sensor-fusion algorithms, applying mathematical and statistical techniques to track and combine data from multiple sensors and sources. You’ll evaluate algorithm performance against key performance indicators (KPIs) and partner with the software architect to transition successful prototypes into production-ready capabilities. We’re looking for a collaborative, accountable professional who is committed to customer satisfaction and continuous process improvement. The successful candidate will thrive in a multi-contract, multi-program environment and apply ingenuity and innovation to complex challenges. You should be adaptable and eager to learn new technologies in evolving development environments. You’ll bring a strong foundation in mathematics and the ability to translate theoretical concepts into practical, real-world solutions, along with the drive to solve difficu
Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) Company: The Boeing Company Boeing Global Services (BGS) Engineering team is currently hiring for a broad range of experience levels including an Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) to support the C-17 Globemaster 3 program at the Dover Air Force Base in Delaware. The selected candidate will provide embedded USAF Field and Product Review Engineering support. This position performs and represents Boeing C-17 Engineering as an integral part of a multi-disciplined team in conjunction with the C-17 Globemaster 3 sustainment contract (G3). Position Responsibilities: Utilize Flight Data Recorder (FDR) and Quick Access Recorder (QAR) data to diagnose complex avionics and electrical system anomalies Analyze flight data logs to isolate root causes of system failures and intermittent electrical issues Decode and interpret parametric flight data to troubleshoot onboard electrical, communication, and navigation systems Apply knowledge of Boeing C-17 design and engineering principles to assess and resolve operational issues through the aircraft’s lifecycle A pply engineering principles and experience to research technical, operational, and quality issues that cannot be resolved by the customer Develop and release interim and permanent engineering dispositions to ensure aircraft airworthiness and overall operational safety and effectiveness Utilize innovative approaches and unique applications to solve complex nonconforming conditions Identify, document, and analyze reported problems and communicate
Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring and ad hoc reports supporting operational performance, regulatory compliance, quality improvement initiatives, and strategic program planning. Monitor LTSS performance indicators including Health Risk Assessments, InterRAI assessments, Nursing Facility Level of Care Determination (NFLOCD) completion, Person-Centered Service Plans, Integrated Care Team (ICT) participation,
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. You'll work alongside talented and experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions that make a real difference, all using a modern, cutting-edge technical stack. To truly make an impact, you'll need to learn quickly, thrive in a fast-paced environment, and collaborate closely within the team and with the stakeholders. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets. Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use.
CAPCO POLAND *We are looking for candidates willing to relocate to the Middle East - Qatar for the duration of the project. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey. We’re proud to be: • Trailblazers in banking, payments, capital markets, wealth, and asset management • Champions of an agile, nimble, and innovative work environment • Dedicated to building a team of top-notch professionals who share our drive and vision Protect critical data. Strengthen controls. Reduce information risk. The Role Capco is looking for a Data Protection & DLP Consultant to help our clients protect sensitive and critical information across complex technology environments. This is an opportunity to work on complex data protection challenges within financial services, helping clients strengthen controls, reduce data leakage risks, and meet security, governance, and regulatory requirements. The engagement is expected to run for one year and requires relocation to the Middle East for its duration . You will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes. What You’ll Do Design and implement a comprehensive, multi‑layered data protection strategy incorporating data classification, data discovery, encryption controls, and DLP technologies. Design, implement, and enhance Data Loss Prevention policies, controls, processes, and technical solutions across enterpr
Where Performance Meets Purpose Iconic golf brands. Commitment to excellence. Colleagues who care. Working at Acushnet Europe means you bring your background and experience to a company with a rich history of creating the best products for dedicated golfers around the world. Your performance has purpose at Acushnet Europe. Based in St Ives, Cambridgeshire, our golf products are recognized globally for their unmatched quality, made possible by the dedication and pride we put into everything we do. Master Data Management (MDM) Specialist Are you passionate about data accuracy, governance, and business process improvement? We're looking for a Master Data Management (MDM) Specialist to play a key role in ensuring the integrity, consistency, and governance of master data across our SAP ERP and PLM environments. At the heart of product lifecycle and customer data management, you'll work with cross-functional teams to ensure accurate, reliable data supports operational excellence and informed decision-making across the business. As a company built on premium products and performance excellence, we believe the same high standards should be reflected in our data. In this role, you'll own and maintain the trusted data foundation that enables efficient operations, successful product launches, and consistent business performance across our global business. What you'll be doing Leading the governance and quality of our master data, ensuring it reflects the excellence we expect from our products and operations. Supporting new product introductions by ensuring product, material, BOM, routing, and costing data is set up correctly. Working with teams across Supply Chain, Manufacturing, Customer Service, Procurement, Finance, IT, and Product Management to make sure data supports day-to-day operatio
The Data Loading Infrastructure ( LunaDb ) team establishes core foundational architecture required to power web, mobile, and external API platforms, helping deliver millions of requests within seconds. We design, maintain, and scale data infrastructure to ensure Asana’s applications remain high-performing, fault-tolerant, and globally consistent. We are seeking a Software Engineer to join our team to help maintain and modernize our data loading tier. In this role, you will work closely with senior engineers to enhance platform reliability, optimize data processing pipelines, and ensure smooth operational throughput across our global infrastructure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop, test, and operate scalable backend microservices, caching layers, and high-throughput data processing platforms. Participate across all phases of the software development lifecycle, including system design, implementation, automated testing, deployment, and ongoing maintenance. Build and optimize relational and non-relational storage interactions, streaming data pipelines, and database query pathways. Partner cross-functionally with product engineering teams to integrate backend infrastructure with new product features and enterprise capabilities. Maintain platform health and operational standards by participating in standard team on-call rotations, debugging production issues, and refining monitoring tools. Write clean, maintainable, well-documented code while actively participating in code reviews and architectural discussions. About you 2+ years of experience working within large,
Join Us in Making an Impact ✨ At OneAZ Credit Union, our success is measured only by yours. We’re here to create lasting change in the lives of our members, our communities, and our team. If you're looking for a career with purpose, where your work truly matters—you've found it! Who You Are 🧩 You’re impactful, compassionate, and fearless, ready to embrace new challenges and shape the future of financial well-being. You take accountability for our success and thrive in an environment where curiosity is celebrated. If this sounds like you, let’s build something great together. What You’ll Do 🚀 📍This position will be located at our Corporate Office: 2355 W Pinnacle Peak Rd, Phoenix, AZ 85027 The Data Governance Strategist is responsible for independently leading, developing, maintaining, and continuously improving the Credit Union’s enterprise data governance program. As the sole contributor dedicated to data governance, this role serves as the primary program owner and business partner for departments across the Credit Union, driving adoption of data governance standards, strengthening data stewardship practices, and promoting a culture of data quality, compliance, privacy, and responsible data use that best serves our members and associates. Essential Functions Serves as the sole dedicated contributor and accountable owner for the enterprise data governance program, independently managing program priorities, deliverables, documentation, stakeholder engagement, and ongoing maturity efforts. Develops, maintains, and refines data governance policies, standards, procedures, templates, and program documentation to align with business needs, regulatory expectations, and enterprise risk priorities. Maintains the enterprise data inventory, data glossary, ownership records, stewardship assignments, data lineage documentation, and related governance artifacts to support transparency and accountability. Lea
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Principal Data Engineer (IC) is a senior individual contributor and the accountable technical leader for assigned cross-domain initiatives and enterprise data engineering capabilities. The role owns integrated technical direction and technical outcomes for work spanning multiple data domains, defines and stewards enterprise engineering standards and reference architectures, and drives convergence where duplicated or inconsistent solutions create enterprise cost, risk, or operational burden. The role advises on scope, sequencing, capacity, dependencies, and technical debt, but does not independently commit domain resources or business delivery dates. This position has no people-management responsibility. Enterprise Data operates a domain-aligned model built on Databricks and Unity Catalog. Working with Domain Leaders, Staff Engineers, Platform Engineering, and partner organizations, the role converts ambiguous enterprise needs into executable architecture and carries the most complex or highest-risk work through validation and production. The role remains hands-on through prototyping, reference implementations, critical-path development, design and code review, and production problem solving. This role is based in Madison, WI. Essential Duties Include, but are not limited to, the following: Cross-domain technical leadership and delivery Own the technical outcome of assigned cross-domain initiatives from initial ambigu
Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. In the role of IT Data Center Infrastructure Coordinator at Micron Technology, you will manage routine operations, planning, and maintenance for enterprise-level data centers. You will define and coordinate data center architectural standards. You will also work with global teams to develop build requirements. You will coordinate with Facilities, Network, Compute, Storage, Security, and Infrastructure Engineering teams. This role involves maintaining physical facility systems to ensure they are stable, secure, and able to support business and technology demands. This role serves as the primary coordinator for activities related to data center facilities, including facilities support, structured cabling services, capacity management, infrastructure lifecycle planning, and operational readiness. You will help guide progress across multiple teams while ensuring alignment with operational procedures and service expectations. Responsibilities: 5+ years of experience supporting data center operations, infrastructure deployment, facilities coordination, and projects involving multi-functional infrastructure teams. Manage daily enterprise data center operations, including infrastructure installations, moves, adds, changes, decommissions, and lifecycle management activities. Monitor and optimize data center capacity, space, power, cooling, environmental requirements, and DCIM accuracy using AI/ML-driven insights. Lead structured cabling operations, including rack installations, pathway managem
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title: Development of an AI-Driven Reliability Analytics and Automation Framework for NAND Product Engineering Description This project aims to use an already developed intelligent analytics and automation framework to enhance efficiency, decision-making, and productivity within NAND Reliability Engineering. The intern will leverage data analytics, artificial intelligence (AI), and software automation techniques to process large volumes of reliability and qualification data, identify trends, and generate actionable engineering insights. Key responsibilities include: Analyzing NAND reliability and qualification datasets to identify patterns and improvement opportunities. Presenting technical findings and recommendations to engineering teams. Scope of Work - Execution of MAF/ULR wave tests - Log collection and analyzing - Level-1 Failure Analysis Supporting team NAND Intrinsic Reliability (NIR) Team (Primary) Global Quality & Reliability Engineering (QRE) Team Test Program Development Team Deliverables Technical Documentation User guide, architecture overview, and maintenance documentation. Source code repository with appropriate documentation. Final Presentation Presentation summarizing project objectives, methodology, results, lessons learned, and future enhancement opportuni
At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: Kailera Therapeutics is seeking an experienced Data Management professional to join as Director, Data Management. This role is accountable for the timely delivery and high-quality execution of Data Management deliverables across early- and late-phase clinical trials. The Director partners closely with key study stakeholders to define and implement a clear, comprehensive data strategy for assigned programs and studies. This position reports directly to the Head of Clinical Data Management. Required location: Waltham, MA (hub-based, onsite 3-4 days per week) Responsibilities: Lead vendor oversight activities across global development programs, ensuring alignment between Kailera and CROs on all data management deliverables. Provide program-level leadership and oversight of clinical data management activities; monitor and report on program and study progress. Represent the Data Management function on the study team, fostering cross-functional collaboration and clear expectations. Monitor vendor performance and quality metrics, escalate issues to management, and drive resolution strategies. Proactively identify risks and develop and implement mitigation or corrective action plans. Ensure Data Management Trial Master File (TMF) documentation is filed accurately and maintained in an inspection-ready state. Support study-level inspection readines
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and SQL GCP and/or another SQL databases Experience with or desire to learn Google Cloud Vertex AI, AI/ML pipeline development, LLM applications, AI agents, Model Context Protocol (MCP), and skill/tool orchestration frameworks for enterprise AI solutions. Experience working with time-series data, images, semi-supervis
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