Senior Data Warehouse And Integration Engineer Jobs

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Senior Associate in data Solutions, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. Ideal candidates will be able to: Ability to manage projects and teams against planned work. Responsible for managing the day-to-day client relationship on projects. Manage the Data Engineering lifecycle including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. Collaborate with team members to design and implement technology that aligns with client business objectives. Build proof of concepts for a modern analytics stack supporting a variety of cloud-based business systems for potential clients. Team management experience and ability to manage, mentor, and develop talent of assigned junior resources. Create actionable recommendations based on identified platform, structural and/or logic problems. Communicate and demonstrate a clear understanding of client business needs, goals, and objectives. Collaborate with other architects on solution designs and recommendations. Assess client data environments and recommend scalable analytics and data engineering solutions. Des

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX Data Team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a Product Manager of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. What You’ll Be Doing Deeply understand business goals and pain points : Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions. End-to-end data solution design : Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard

Datadog helps technical teams understand their systems. More and more, those teams want to know what a problem costs the business. Today the business context for that answer typically sits in a data warehouse. We want to equip customers to answer this question directly in Datadog. We're bringing business data into Datadog. You'll start with owning the Datadog SQL (DDSQL) and Sheets products. DDSQL lets people query across their Datadog data in SQL, and Sheets gives them a spreadsheet to pivot, look up, and calculate on that data without writing a query. Once you have a handle, you will grow into building out a strategy and execution plan for bringing business data into Datadog. This encompasses data warehouse connections, schema discovery, semantic encoding, and new visualization. As this initiative grows, you will explore new capabilities that can be built using both warehouse and telemetry data in one platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you'll do: Lead SQL and Sheets end to end, growing them into the main way customers query Datadog and warehouse data Define how customers connect their warehouses and join that data to Datadog telemetry, with the access controls and performance that make it usable at scale Build reusable metrics and joins so teams can build on each other's work instead of starting over Bring business data into our AI agent Bits so operational investigations can draw on customer and revenue context Make analysis easy to organize and distribute, from folders and tags to scheduled reports Partner with design to set a high bar for information architecture and visual polish in complex analytical workflows Use customer research and product analytics to find what keeps teams from doing this work in Datadog today, then improve disco

Senior Data Engineer, Public Sector As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance. You will: Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy Continually improve ongoing data pipelines and simplify self-service support for business stakeholders Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables Have an active Secret security clearance (Top Secret preferred) Ideally You’d Have: 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R) Experience building a reliable transformation layer and

About Us: Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted alpha-driven insights, and world-class events. The result is transparency and confidence. Blockworks connects investors and businesses in onchain capital markets. We give businesses a platform to earn trust and provide investors with the information they need to underwrite the asset class. Who You Are: Software engineering is your passion, and you have special talents focused on data architecture, design, and API development. You are a player-coach and a natural leader who understands the technical and human elements that go into great software design. You have a results-oriented attitude and a passion for delivering flawless releases and developing digital product pipelines (CI/CD pipelines). You have a proven track record facilitating engineering teams to increase productivity and quality. You're excited at the possibility of helping design and develop our data pipelines as well as leading our data-related projects and strategies for Blockwork's suite of projects. You love moving quickly in a fast-paced start-up, but you also bring intentionality, sustainability and scalability to your approach as an engineer. What You’ll Do: As our Senior Data Engineer , you will be directly responsible for leading the creation and execution of our data models and strategies that feed our products. You'll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and approaches. Every day will look a little different, but in general, you will do things like: Own Data Sourcing Pipelines: You'll be responsible for helping to architect our data warehousing, ingestion and sourcing strategy, working with multiple SDKs to aggregate data from various sources into Blockwork's own data warehouse. Design and Implement ETL Solutions: You'll be responsible for

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in. The Auth0 Data Engineering Team Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups: Pipeline team , sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data The Senior Data Engineer Opportunity Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an auto

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior CRM Data & AI Developer Position Overview TEGNA is looking for a Senior CRM Data & AI Developer to join the dynamic engineering team. We are looking for a Senior CRM Data & AI Developer to integrate our CRM platform data with our Snowflake data warehouse. You will analyze and map the migration of CRM data into our Snowflake-based customer data platform and put AI solutions, including agent-based workflows, to work inside our CRM and web applications. As we build AI agents that integrate seamlessly with the CRM, you'll also create the user interfaces that bring them to sales users. You will bridge the functional and data gaps between the CRM platform and our AI and data team, turning business needs into clean, well-governed data and working AI features that sales users can rely on every day. What You’ll Do • Bridge CRM and AI. Act as the CRM platform subject-matter expert for the sales AI and data team, explaining data models, entities, and business processes and turning requirements into technical solutions. • Lead the CRM data migration. Analyze, map, and implement the migration of CRM data into a customer data platform, including data analysis, identity resolution, mapping, and data mastering. • Build CRM UI. Build intuitive CRM user interfaces, custom components, and workflow automation that bring data and AI insights to end users. • Integrate AI solutions

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshootin

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role We are looking for a Senior Data Engineer to join the team building Tamara's next-generation data core - a multi-cloud data platform spanning Event Streaming, Data Warehousing, and Experimentation. You will be hands-on; designing and operating petabyte-scale streaming and batch systems that run across clouds. This role is ideal for engineers who love solving complex data challenges at scale, think with a platform mindset, and are excited to raise the technical bar of the team around them. Your Responsibilities Lead the design and build of platform components that run across multiple clouds — addressing portability, cross-cloud replication, HA/DR, and data residency requirements of a regulated fintech environment, and designing against single-cloud lock-in. Build and operate large-scale event streaming infrastructure on Kafka, including configuration tuning and cross-cluster replication between cloud environments. Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow. Drive the development of a scalable LakeHouse architecture using modern open table formats such as Iceberg or Delta Lake. Own reliable, cost-aware operation of multi-cloud data infrastructure — SLO-based observability, data quality, and lineage. Enable Analytics and Product teams through self-serve data products, well-modeled warehouse foundations and marts, and reusable ingestion (inbound) and consumption (outbound) patterns. Provid

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Senior Finance Systems & Data Engineer , you'll join the Controlling & Transformation team based in Copenhagen , working to turn messy finance data into infrastructure the whole company can trust. To be upfront: the pipes are still being built. You won't inherit a polished warehouse — you'll be the person who helps shape what it will look like. This is a role for someone who wants ownership of a foundation, not a seat next to one. What will you do? Own the design of Lunar's financial data architecture, the flows from our core banking platforms through the ledger and data warehouse into Business Central, and set the direction for how it evolves Lead the automation of the month-end close, replacing manual steps cycle by cycle until it's fast, reliable and boring, starting with the reconciliations between source systems and the general ledger Get hands on when data issues appear. You'll query the data yourself, reconcile it, find the root cause and drive it to resolution rather than passing it on Be the system owner for Business Central and other relevant finance systems, covering configuration, access, releases and incidents, and hold tech and external vendors to designs that work for finance from the start Act as the bridge between finance, product and tech: set the standard for data quality across finance source systems, translate finance's needs into requirements the data squads can build against, and rethink core processes with AI What are we loo

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Senior Linux Data Center Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshoo

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for an Analytics Engineer to join our Finance team. This individual will report into our Senior Manager of Data Analytics and will design and build SupplyHouse’s production data layer from the ground up in BigQuery. They will own the transformation layer between raw data and reporting, turning complex data into clean, tested, and well-documented datasets, standardizing core business metrics, and enabling trusted, self-service analytics across the organization. If you’re passionate about building reliable data foundations, enjoy partnering with engineers, analysts, and business stakeholders, and are excited to make high-quality data more accessible and actionable across an organization, we’d love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 6 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open. Role Type: Full-Time, Exempt Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen