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Platform Data Engineer (DataOps / Orchestration) - Latin America - Remote

posted by: spj_bot

Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-


This role sits at the intersection of data engineering and data operations (DataOps).
Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team. This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.

At Azumo, we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do.


Based in San Francisco, California, Azumo
is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.

Job Skills

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GenAI Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Job Skills

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Senior Rust Engineer

posted by: spj_bot

Senior Rust Engineer (Solana/DeFi)

Location: Remote (CET +/- 4 hours) Type: Full-time

Compensation: $72K - $90K

We are a stealth-stage DeFi Trading & Intelligence platform dedicated to the Solana ecosystem. We are building the critical infrastructure required for sophisticated on-chain decision-making—ranging from real-time signals and smart money tracking to enterprise-grade fraud detection. Our platform delivers high-fidelity on-chain analytics through a high-performance API. We are a small, fast-moving team tackling the most challenging problems in blockchain data. As a Senior Rust Engineer, you will play a pivotal role in architecting systems that process millions of Solana transactions in real-time.

This is an early-stage startup environment. We are looking for an engineer who thrives on high ownership, fast iteration cycles, and the opportunity to ship code that immediately impacts production environments. If you are passionate about building high-throughput infrastructure and solving "hard" data problems, we want to hear from you.

Responsibilities

Job Skills

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Data Engineer

posted by: spj_bot

Senior Data Engineer (Monitoring & Parameter Systems)

Location: Porto, Portugal (Full-Time)

Category: Engineering / Data Science

Compensation: $140K - $300K

We are on a simple mission: to make it possible for anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with full transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal on our platform is verifiable through open, auditable code.

To date, we have raised $27.9M+ from top-tier investors including General Catalyst, Jump, Susquehanna (SIG), Alliance DAO, and Balaji Srinivasan.

We are seeking a Data Engineer (Monitoring & Parameter Systems) to architect and operate the analytics, observability, and parameter-proposal infrastructure that keeps our protocol safe and economically sound. You will serve as the critical bridge between protocol mechanics—such as fees, spreads, and liquidations—and production-grade data systems. Your mandate is to translate complex economic models into reliable pipelines and monitoring services that ensure the protocol remains healthy across all markets.

Responsibilities

Job Skills

professional incident response validation stocks security policy equity operate statistical models data research data engineer integration DAO accrual high frequency trading safety systems mechanics sql dashboards computer science time series parameter data quality validating transparency bridge translate tooling airflow experience design safe senior engineer library service data engineering python finance high frequency reproducible reliable parsing managed securely analytics workflows blockchain anomaly detection economic catalyst grafana market datum quality data science economic models collaborative data systems stakes infrastructure monitoring systems auditable code brokerage applicable data athena development support models dynamic researchers liquidations data pipelines transformation prometheus indexing
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Performance Analyst / Marketing Analytics Specialist

posted by: spj_bot

We are a growth team responsible for basically the growth of the company. We are looking for a Performance Analyst who will own event tracking, attribution quality, and traffic efficiency across mobile and web products.


Responsibilities

    • Implement and maintain event tracking for mobile apps and web platforms.
    • Work with 3rd-party tracking platforms (Adjust, AppsFlyer)
    • Postback setup and reconciliation
    • Integrate and support SDKs (mobile & web) in close collaboration with engineering teams
    • Work with Google Firebase: event configuration and validation funnel, retention, and behavioral analysis
    • Work with Google ICM and Facebook AEM
    • Design and maintain server-to-server (S2S) tracking: client vs server-side event logic
    • Monitoring and resolving data discrepancies
    • Analyze traffic quality and data efficiency:

- Identify low-quality or fraudulent traffic
- Analyze cohort behavior, retention, LTV, and conversion paths

    • Apply anti-fraud techniques:

- Detect abnormal patterns (click spamming, SDK spoofing, bot traffic, attribution fraud)
- Collaborate with platforms and ad networks on fraud prevention
- Build and maintain whitelists and blacklists of traffic sources, placements, and publishers

Job Skills

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Product Data Scientist.

posted by: spj_bot

Data Scientist (Full-Stack / Generalist)

Location: Remote / Flexible Type: Full-Time

Compensation: Competitive

We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite.

We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation.

What You'll Do:

Job Skills

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Principal Data Scientist (GenAI)

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Job Skills

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Lead Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Job Skills

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Lead Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

What You’ll Do:

Job Skills

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Data Warehouse Senior Consultant - Remote - Octopus by RTG

posted by: spj_bot

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Warehouse Senior Consultant for one of our partner organizations in KSA, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Job Purpose
The Data Warehouse Senior Consultant is responsible for overseeing, coordinating, and supporting the implementation and operation of the organization’s enterprise Data Warehouse built on Microsoft Fabric. The platform leverages Data Factory, Synapse, and Power BI for data integration, modeling, and visualization. This role ensures effective collaboration with external implementation vendors, validates solution design, and builds internal data capabilities through knowledge transfer during the project phase. After implementation, the role will manage ongoing operations, governance, and performance of the Data Warehouse.

Job Skills

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