About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

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. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

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 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.

Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.

You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.

Key Responsibilities:

Be a part of sharing special places and shaping lasting memories with Australia’s leading experiential tourism business.

About Journey Beyond

Australia’s leading experiential tourism group, Journey Beyond, is privileged to operate 20 brands spanning the country and New Zealand, connecting guests to the land, and to each other.

Headquartered in Adelaide, Journey Beyond formed in 2016 and now comprises tourism brands including: iconic trains The Ghan, Indian Pacific, Great Southern, The Overland; premium small-group outback operator Outback Spirit; eco-luxury lodge Sal Salis Ningaloo Reef; aquatic adventures Cruise Whitsundays, Rottnest Express, Sailaway Port Douglas, Horizontal Falls Seaplane Adventures, Darwin Harbour Cruises and Journey Beyond Cruise Sydney; our tallest members, Melbourne Skydeck and Eureka 89; the historic Vintage Rail Journeys; The Telegraph Station in Alice Springs; Monarto Safari Resort; Exmouth Dive & Whalesharks Ningaloo, New Zealand coach tour specialist Grand Pacific Tours, and Voyages Tourism Australia.

About the Role

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate.

The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

Key Responsibilities

Founding Engineer - AI Data Cleaning & Financial Infrastructure

Location: On site - New York

Compensation: $150,000 – $250,000

We are a high-growth, YC-backed company building the clean data layer for everyone, starting with financial firms. Our platform solves complex data cleaning challenges, delivering accurate, refined data via a simple API that integrates effortlessly into existing ELT pipelines, combining the best of AI and expert human review. We are seeking a Founding Engineer to design, build, and scale our core AI-powered data systems.

This is an unparalleled opportunity to join an early team and drive both the product strategy and the technical direction of the company. You will have immense impact and ownership, working across the entire stack to create a reliable and accurate data platform. You must be a strong engineer excited to work at the intersection of production software and frontier AI/LLM technologies.

What You’ll Do:

GoMining is seeking a highly skilled Database Engineer to join our team and ensure the performance, scalability, and reliability of our databases. This role is ideal for someone passionate about data architecture, high-performance database systems, and large-scale analytics in fast-paced fintech and crypto environments.

You will play a critical role in designing database solutions, optimizing queries, managing replication, and ensuring data integrity.

Responsibilities:

Database Architecture & Design

• Design, implement, and optimize database schemas for high-performance applications.
• Develop strategies for data partitioning, replication, and scaling.
• Evaluate and implement new database technologies for performance and reliability.

Maintenance & Optimization

• Monitor database performance and implement query optimization, indexing, and caching strategies.
• Manage backup, restore, and disaster recovery plans.
• Conduct capacity planning and performance tuning for production workloads.

Collaboration & Support

InfyStrat is on the lookout for a talented Snowflake and Metallien Developer to enhance our data analytics capabilities. In this dynamic position, you will leverage Snowflake's robust data warehousing features alongside Metallien's innovative solutions to provide actionable insights for our clients. You will work closely with data specialists and business stakeholders to construct and optimize data pipelines, ensuring the highest standards of data quality and performance. If you are a data enthusiast with a knack for using cutting-edge technologies to solve complex problems, we encourage you to apply and join our team!

Responsibilities

• Develop, implement, and maintain data pipelines utilizing Snowflake and Metallien.
• Collaborate with analytics and engineering teams to refine data processing strategies.
• Ensure data integration and synchronization across various platforms.
• Monitor performance metrics and optimize data systems for efficiency.
• Provide insights and recommendations based on data analysis results.
• Draft technical documentation and facilitate knowledge transfer sessions.
• Continuously research and apply the latest advancements in Snowflake and Metallien technologies.

Requirements