Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.
Build and maintain robust data pipelines and ETL processes, taking full ownership of the data ecosystem's health, cost, and observability.
Design and manage data warehouses to support advanced analytics, focusing on creating 'Gold Standard' data models for self-service in platforms like PowerBI and Tableau.
Collaborate with cross-functional teams to translate business goals into technical requirements and create models that enhance Analytics and AI/ML projects.
WorkWave provides best-in-class software solutions that directly contribute to the success of their customers. The company has a remote-first global team with employees in over 30 states and 7 countries, fostering an energetic, collaborative, and diverse culture that values innovation and trust.
Design, build, and maintain scalable data pipelines for clients across industries.
Architect and optimize cloud data warehouse solutions, adapting to each client's stack.
Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled.
NuView Analytics helps companies accelerate the time to insights from their data through data analytics, diligence, and fractional data science. They are a growth-stage company looking to drive additional value from the data they are sitting on and value humility, intellectual rigor, and stewardship.
Design, build, and maintain scalable data infrastructure to support analytics and reporting across the organization.
Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With over two decades of experience, they deliver top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies in their projects.
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
Auto Integrate makes leased vehicle maintenance frictionless for millions of customers in the USA and Canada. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.
You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Design, build, and maintain data pipelines using Snowflake, Airflow, and DBT
Lead architectural discussions around the modern data stack
Develop scalable ETL and ELT processes using Python and SQL
They are a well-funded healthcare technology company using AI and modern data infrastructure to transform how healthcare and public health decisions are made. The team is small, mission-driven, and building systems that turn raw healthcare data into actionable intelligence at scale.
Lead and manage a team of ~6 data engineers, driving execution, performance, and career development.
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance.
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow.
Kin simplifies homeowners' lives with smarter insurance, expanding to meet all homeowner needs. They employ Kinfolk across 35+ states and are recognized for growth, customer satisfaction, and a focus on long-term sustainability, fostering a culture of meaningful work and real impact.
Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
Design, build, and maintain databases that power Hologram's operations.
Build and maintain ETL pipelines that move and transform data reliably.
Audit existing pipelines and data models, identify complexity, and refactor bad decisions.
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. They process over 5 billion transactions per month across their global infrastructure and values a fun, upbeat, and remote-first team united by their mission.
Own and operate our data warehouse, pipelines, and transformation layer
Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
Atticus makes it easy for any sick or injured person in crisis to get the life-changing aid they deserve. In the last six years, they've become the leading platform connecting people with disabilities to government benefits. In 2025, their team grew from 151 to 210, and they will grow again in 2026.
Building and maintaining production-grade data pipelines in cloud data warehouses.
Designing and developing dbt models across bronze, silver, and gold layers.
Crafting easy-to-understand visualizations and dashboards in Looker or equivalent BI tools.
Plume is a trans-founded, mission-driven company with a vision to transform healthcare for every trans life by making gender-affirming hormone therapy easily accessible. They offer an affirming, trans-centered, culturally inclusive, and fun work environment filled with purpose.
Guide clients on optimizing their data environment.
Develop system engineering, integrations, and architectures based on client needs.
Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
Jobgether helps candidates get their applications reviewed quickly and objectively. They use AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Lead, manage, and mentor a group of data engineers.
Own the design and development of data pipelines and systems.
Partner cross-functionally with Data Science and Product managers.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
Deel is an all-in-one payroll and HR platform tailored for global teams. As one of the largest globally distributed companies, Deel's 7,000 team members span over 100 countries, fostering a dynamic culture of continuous learning and innovation.
Design, build, and maintain production data pipelines using Python, Prefect, Airflow, Jenkins or any other orchestration framework multi-phase algorithmic workflows.
Build and optimize advanced SQL transformations in Snowflake, including window functions, CTEs, stored procedures, UDFs, and semi-structured data processing.
Build and maintain dbt models for data transformation, identity resolution, and slowly changing dimension (SCD Type 2) tracking across 80+ models and multiple pipeline stages.
Kalibri helps to redefine and rebuild the hotel industry. They are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo; their team is working on cutting-edge solutions for the industry.
Primarily responsible for analyzing data integrity challenges and identifying root cause analysis.
Craft client code that is efficient, performant, testable, scalable, and secure.
Actively participate in agile software development, including daily stand-ups and sprint planning.
3Pillar is a company where senior software engineers can collaborate with industry leaders and spearhead transformative projects that redefine urban living, establish new media channels, or drive innovation in healthcare. They are a global team that values well-being and offers flexible work environments.
Lead and grow a team of data engineers, providing mentorship and technical guidance.
Own execution of customer integrations across multiple product lines, ensuring on-time delivery.
Improve data quality and pipeline reliability by investing in better alerting and resilience.
Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food. They are on a mission to eliminate food waste and make fresh food accessible to all and has saved 200M lbs of food waste in 2025 alone.