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:

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

The Data Quality Lead is responsible to ensure our data pipelines deliver reliable, high-quality, and well-governed data that enable scalable analytics and AI solutions across the enterprise. This role bridges data engineering, governance, and analytics, focusing on building trust in data assets, enforcing quality standards, and enabling secure, governed access to data for business users, data scientists, and machine learning models.

Responsibilities

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:

Full Stack Engineer (AI Defense/Government Contracts)

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client is an AI platform redefining how companies interact with the government by matching them to defense contract opportunities they are most likely to win. The company is backed by top defense investors, is profitable, has hit $1M ARR in under 8 months, and is growing at 60% MoM. This mission-driven role focuses on solving critical national security problems.

They are seeking a Full Stack Engineer to be a Founding Engineer for building the core data pipeline and user-facing application. You will own the process of transforming a "firehose" of daily government data into useful, browsable, and interpretable insights for defense companies.

What You'll Do

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

Member of Technical Staff (Platform Development, Construction Tech)

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client is a rapidly scaling construction work efficiency platform, leveraging wearable cameras and cutting-edge AI vision models to analyze on-site productivity. They are tackling the $1.6 trillion annual productivity loss in the construction industry by building tools that help teams save on labor costs and improve safety. The company has secured a $5 million seed round and is scaling rapidly toward its Series A.

They are seeking an exceptional Member of Technical Staff to build and scale core platform features that transform how construction teams manage safety, productivity, and workforce development for their frontline craftworkers. This is a high-impact, hands-on coding role where you'll own critical initiatives.

What You'll Build & Solve

You will be responsible for building complex, scalable workforce management systems and intuitive user interfaces for non-technical users in the field:

Senior Backend Engineer

Location: San Francisco, CA (Near Powell BART)

Employment Type: Full-time

Work Arrangement: Hybrid (3 days/week in-person in SF)

About the Role

Our client, is building the "world's sell anything platform," enabling entrepreneurs and marketing teams to instantly build, test, and grow online businesses and campaigns. Think of them as the GTM (Go-to-Market) platform for entrepreneurs, with customers including major brands (like Tums). The company has raised over $8.4 million from investors like Figma, YCombinator, and Vercel, and has achieved Series A/B metrics on a seed-stage cap table.

They are hiring a Senior Backend Engineer to take on key technical ownership, focusing on the system architecture behind their most popular, high-scale products. This role requires deep expertise in distributed systems and a passion for engineering excellence in a fast-paced environment.

Things You'll Be Working On

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

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

About the role:  We are looking for a motivated and detail-oriented Associate Product Manager to join our Vessels API squad in Athens. This is a hands-on role working with one of the largest vessel datasets in the industry - over 50,000 Tanker, Dry, LNG, and LPG vessels, each with more than 100 key particulars ranging from dimensions and cargo-handling equipment to ownership and sanctions.

Founding Engineer

Location: San Francisco, CA (Union Square area)

Employment Type: Full-time

Work Arrangement: On-site

About the Role

Our client, is an applied AI research lab building high-fidelity agent environments and tooling with the bold thesis of becoming the single global workforce supplier of AI employees for the entire global economy. They are currently focused on conquering the frontiers of planning, memory, and "always-on-behavior" for their agents.

As a Founding Engineer, you will have a high-agency role, working directly with the CEO and founding team. Your contributions will go beyond just code, actively shaping the product, culture, and architecture. You must be prepared to ship fast, experiment, and iterate without heavy process.

What You'll Do