Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

We are QUALCO, the technology arm of Qualco Group, with over 25 years of experience in delivering innovative solutions to the financial sector. We serve clients in over 30 countries, helping banks and other financial institutions manage credit and loans effectively while ensuring full regulatory compliance. Our advanced software leverages analytics, artificial intelligence, and digital technologies to support every stage of the credit and lending lifecycle, remaining at the forefront of fintech innovation. 

We are looking for an experienced, self-motivated engineer to join our Software Support Team and provide high quality solutions/support to our rapidly growing client base.

As a Software Support Engineer you will be working closely with our Service Management and Software Development teams to improve customer experience, provide effective integration and service request solutions as well as identify and timely resolve issues of our client’s.

Als Technisch Consultant Data Platform bij Managed Services werk je in een vast team met ervaren collega's nauw samen voor onze klanten om hun dataplatform te te beheren en optimaliseren. Je richt je hierbij op het totale proces van het verkrijgen van de data bij de bron tot het beschikbaar stellen van de data voor de eindgebruikers.  We werken bij HSO Managed Services volledig gebaseerd op het Microsoft Platform, dit houdt in dat je in aanraking komt met onder andere Azure Data Factory, Data Lake, Synapse Analytics, Fabric en Databricks.

Taken en verantwoordelijkheden

·       Beheren, optimaliseren en doorontwikkelen voor verschillende klanten van hun:

o   Het Microsoft Data Platform in het algemeen

o   De Data Pipelines met Data Factory, Databricks en/of Fabric

o   De Datamodellen met Python, SQL, PySpark en/of SparkSQL

·       Omgevingen van klanten beheren met Azure DevOps

Requirements

DeFi Application Full-Stack Engineer

Location: Remote - USA, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We lead the field in quantitative research and optimization of decentralized finance (DeFi) economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry, which secure and manage over $42 billion in customer assets. Join us as we drive the adoption and understanding of the financial systems of the future.

Join a newly formed product pod focused on our next-generation decentralized application (dApp), which allows users to deposit and withdraw into vaults directly. This is a critical, high-impact initiative to evolve our current dashboard into a direct revenue-generating product. You will provide technical leadership in a remote-first environment, building a robust, user-facing experience at the heart of our business.

Responsibilities:

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experienced Project Manager – Data Engineering to lead and deliver large-scale data transformation and migration initiatives across Talend, Databricks, and cloud data ecosystems. The role demands a strong blend of technical depth and project delivery leadership, working closely with onshore and offshore teams to ensure timely, high-quality delivery across complex data programs.

RESPONSIBILITIES:

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Requirements

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

• Design, develop, and maintain data pipelines to support ETL processes.
• Ensure data quality and integrity across various data sources and systems.
• Collaborate with cross-functional teams to identify data requirements and create data models.
• Utilize big data technologies for large-scale data processing.
• Monitor and troubleshoot performance issues related to data processes.
• Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

Location: New York City

Employment Type: Full-time

Work Arrangement: On-site in NYC office (regular travel, 30-50%, for client engagements)

About the Role

Our client, an AI startup founded by engineers from institutions like Palantir and Citadel, is building the first AI-augmented deep research platform for the financial services industry. They recently raised $7.25 million from backers including founders of OpenAI and DBT.

As a Forward Deployed Software Engineer, you will be the technical architect for their most strategic client relationships at top financial firms. This role embodies the principle of "Forward-Deployed with Product DNA," meaning you embed directly with clients to own their outcomes while simultaneously architecting platform features that serve the entire market. Success is measured by your ability to iterate, deploy, and co-develop competitive advantages in high-stakes research environments.

Key Responsibilities