Results for "Data Engineering"

Offshore Pod Leads (TBD, AN, IN)

Req ID: 360093 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Offshore Pod Leads to join our team in TBD, Andaman and Nicobar Islands (IN-AN), India (IN). JOB DESCRIPTION Data Engineering Pod Lead Databricks Lakehouse Migration Program Two Roles: Informatica Pod Lead | AWS Glue Pod Lead Engagement Type Contract / Staff Augmentation or Full-Time Employee (FTE) — Open Seniority Level Lead / Architect — 12+ years of relevant experience Number of Openings 2 (one per pod) Team Size 4–6 Data Engineers per pod lead Cloud Platform AWS (Glue, Redshift, S3, Kinesis Streams, IAM, CloudWatch) Target Platform Databricks Lakehouse (Unity Catalog, Delta Lake, Workflows) Program Type Client-facing migration engagement — ETL modernization Program Context & Opportunity Our client is undertaking a large-scale data platform

Data Analyst

Job Summary: Creative Chaos is looking for a detail-oriented and analytical Data Analyst to join our growing team. In this role, you will leverage data to provide actionable insights and drive informed business decisions. You will be responsible for analyzing complex datasets, generating reports, and collaborating closely with cross-functional teams to support strategic initiatives. Key Responsibilities: Extract, clean, and analyze data from multiple sources to identify trends and patterns. Create and maintain dashboards and reports that provide insights into business performance. Work with stakeholders to define their analytical needs and develop data-driven solutions. Perform ad-hoc analysis to support specific projects or business questions. Collaborate with data engineering and IT teams to ensure data integrity and availability. Present findings and recommendations to stakeholders in a clear and actionable manner. Stay up-to-date with industry trends and best practices in data ana

Data Engineering Lead

9fin is looking for a Data Engineering Lead to own the technical roadmap for their data platform, raising the bar on reliability, scalability, and engineering quality. The successful candidate will lead technical direction, deliver customer-facing APIs & feeds, and coach and grow the team. Requirements Own the Data Platform Roadmap Deliver customer-facing APIs & Feeds Level Up Orchestration in Dagster Make ingestion boring Strengthen BigQuery foundations Raise data quality & observability Enable customer pipelines & reverse ETL Infrastructure as Code & CI Coach and grow the team Benefits Competitive Salary Equity options Pension Private Medical Insurance Paid sick leave with Income Protection for long periods of illness Group Life Assurance Season Ticket Loan & Cycle to Work schemes 25 holiday days per year Local public holidays (with the ability to exchange them for alternative days) Hybrid working model Work abroad for up to 3 months a year 1 month paid sabba

Data Engineer

This role is for one of the Weekday 's clients, seeking an accomplished Engineering Manager – Data Engineering to lead the design, development, and scaling of robust data platforms and pipelines. Requirements Lead and manage a team of data engineers Define and execute the data engineering roadmap Architect, design, and oversee the implementation of scalable, reliable, and high-performance data pipelines and data platforms Collaborate with cross-functional teams to deliver end-to-end data solutions Establish best practices for data governance, data quality, security, and compliance Drive the adoption of modern data technologies and frameworks Review system architecture and code to ensure scalability, maintainability, and performance optimization Manage stakeholder expectations, prioritize initiatives, and ensure timely delivery of projects Mentor team members, support career growth, and build leadership within the team Monitor and improve system reliability, uptime, and performance thr

Data Engineering Internship

Chartbeat Inc. is the parent company of Chartbeat , Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat , Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 e

Senior Backend Engineer (Data-Focused)

Are you excited to work with innovative security products at a global scale? Do you enjoy creating strategic infrastructure solutions to solve complex data challenges? Join our Team Akamai Enterprise Security is transforming how organizations protect data centers and cloud environments from advanced threats. We are building a world-class, scalable backend AI data platform. You will play a key role in making it happen.In this role, you will collaborate with multiple teams to design and develop cloud and AI services powering Akamai's Enterprise Security AI Data Platform. What does our team do? We are seeking a highly motivated Senior Software Engineer to join our Data Engineering group.The Centra Data Infrastructure team serves as a vital bridge connecting data from Akamai's industry-leading microsegmentation product to our cutting-edge AI Data Platform. Our mission is to continuously connect, process, and deliver product data in a way that maximizes its value and drives data-driven pro

Key Account Manager

Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology g

[Job-28586] Engenheiro de Dados Sênior , Brazil

We are a company that specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. We are looking for a Senior Data Engineer to ensure the integrity, consistency, and efficiency of data models throughout the ecosystem. Requirements Develop and maintain data pipelines (ETL/ELT) in Azure, using Databricks for processing and integration. Implement CI/CD practices for automation of deployments and code versioning in GitHub. Design and optimize data models to ensure scalability, performance, and governance. Support cloud migration projects, ensuring security, quality, and data integrity. Collaborate with business and data science teams to deploy AI models in the cloud. Ensure data quality and consistency, applying data profiling and monitoring techniques. Document processes, architectures, and best practices in data engineering. Benefits Health and dental plan Food and meal allowance Childcare assistance Extended parental leave Partnersh

Data Engineer 5 - Privacy

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members’ data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate. The Privacy and Legal Data Engineering pod builds scal

Senior Analytics Engineer - CANADA

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We’re looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance and Operations teams. You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, and financial data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, pricing, and AI product insights. This is a highly cross-functional role — you’ll partner closely with Product Management, Marketing, RevOps, Finance, and E

VP Data Engineering

This role is remote (US-based; east coast preferred) Company Overview Join a dynamic team that's redefining consumer data analytics. We empower top investment firms and global consumer and corporate brands with cutting-edge insights into consumer spending, leveraging privacy-compliant data across geographies. Our real-time intelligence and merchant-level benchmarks give clients a competitive edge—and you'll be at the forefront of it all. Role Summary We're looking for a seasoned VP of Data Engineering to lead our data engineering team and take ownership of the infrastructure that powers everything we do. Because data is our business, this role carries significant weight: the reliability, scalability, and quality of our data pipelines directly impacts our customers and our revenue. You'll manage ~15 engineers across 3 data engineering teams, set technical direction across our GCP-based data platform, and work closely with data operations, product, and commercial teams to ensure we ca

Principal Data Engineer

About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. Our community-based care teams—powered by proprietary data science and ML technologies—support care for tens of thousands of Medicaid members across multiple states, driving measurable reductions in avoidable emergency department visits and hospitalizations. We're designing tools and systems that bring care directly to those who need it most—removing barriers and reimagining what's possible in Medicaid healthcare delivery and we are seeking a highly experienced Data Engineer to join this mission. This is a principal-level individual contributor role who combines deep backend engineering fundamentals with specialized expertise in Electronic Health Record (EHR) data integration. You will report to data engineering leadership and setting the technical direction for our clinical data platform by leading the design, developmen

Senior Product Manager, Analytics

Motive is seeking a Senior Product Manager for Enterprise Analytics to drive key initiatives, build the data backbone, improve AI intelligence, and be the customer champion. Requirements 5+ years of experience in Product Management, specifically within B2B or enterprise SaaS environments. Demonstrated experience building and scaling data-heavy, analytics, or platform products used by real customers. Sufficient technical depth to collaborate confidently with backend, frontend, and data engineering teams on data models, metrics, APIs, and cloud data platforms. Experience shipping AI-powered or machine-learning–driven product features at scale. Proven ability to drive complex, multi-team initiatives from concept through launch in fast-moving, high-visibility environments. Strong analytical skills and comfort working with large datasets to guide product decisions and measure success based on outcomes, not just outputs. High customer empathy and the ability to translate complex operational

Senior Data Engineering Manager

About YipitData : YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare. Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact. We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets. This is a hybrid opport

Technical Program Manager-US 2026

Are you an accomplished Technical Program Manager looking to apply your expertise to drive complex, cross-functional initiatives and deliver impactful outcomes? In this role, you will lead and coordinate client project work across multiple practices, including Data Analytics, Data Engineering, Decision Sciences, and Analytics Strategy, ensuring seamless execution and alignment with business objectives. Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. We're a dynamic team committed to solving our clients' most critical business challenges in partnership with the industry’s most innovative cloud and data technology providers. What sets us apart is our approach: we start by truly listening, then craft tailored, scalable solutions powered by modern technologies, delivered by our passionate consulting experts. Joining our

Full-Stack AI Engineer

Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. The role requires bridging software engineering with applied machine learning to deliver practical, business-driven AI solutions. Requirements AI Model Integration Data Engineering & Pipelines Application Development (Full-Stack) Infrastructure & Deployment Security & Compliance Collaboration & Iteration Originally posted on Himalayas

Consultor(a) Sênior de Engenharia de Dados