Design, develop, and maintain scalable data pipelines and infrastructure.
Build and optimize data warehouses, databases, and data models.
Implement and maintain data governance and security practices.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They connect candidates with companies; their culture is collaborative and inclusive, focused on innovation and growth.
Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
Implement data contracts between back-office and the platform.
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
Design & build data observability platforms and metrics.
Build metadata driven pipeline solutions.
Fuze Health puts patients first and tirelessly addresses the most pressing needs in healthcare. They empower millions to digitally connect with care providers, essential health resources and needed treatments. The company is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors.
Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products.
Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure.
Consolidate fragmented data sources across the organization into reliable, automated pipelines.
Power Digital is a tech-enabled growth firm at the intersection of marketing, consulting, and data intelligence. They ignite revenue and brand recognition for leading and emerging companies. They are a people-first firm with a focus on diversity and have a dynamic team of consultative marketers, creatives, analysts and technologists.
Design and administer cloud-native data systems using AWS services like Glue, Lambda, Redshift, and S3 to build scalable data architectures.
Develop and maintain reliable ETL processes using Python and SQL to ingest, clean, and transform complex healthcare data, optimizing pipeline performance.
Implement data security, governance, and compliance measures while collaborating with product and analytics teams to translate business needs into technical solutions.
Evio is a pharmacy solutions company founded by and working with health plans to implement transformative specialty medication initiatives. It is a lean, independent entity with six owner health plans serving over 20 million members, investing heavily in a strong, intentional team culture and values.
Design, build, and maintain scalable data pipelines
Develop and optimize ETL processes to support data products
Work with structured and unstructured data across SQL and NoSQL systems
They are seeking a Data Engineer to support the development of data products that power critical business functions. They seem to have a collaborative, cross-functional Agile environment where you'll partner closely with technical and business teams to deliver high-quality data solutions.
Development of various services in Python: integration with marketing partners, obtaining data from various sources.
Creation and support of processes on Airflow.
Supporting the migration of marketing data pipelines and DWH components from MS SQL to Google Cloud Platform (including BigQuery), contributing to architecture decisions and best practices.
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. Our international team of 1000+ professionals and digital nomads works all over the world and we are proud to be a two-time “Great Place to Work” winner.
Develop and maintain ETL processes using Python (PySpark) within Azure Synapse Analytics to ensure efficient data handling.
Design data storage structures using expertise in data warehousing and extract data from sources like REST APIs, SQL tables, and CSV files.
Collaborate with teams to understand data requirements, implement quality checks, and ensure data security and compliance.
Bluelight is a leading software consultancy that designs and develops innovative technology to enhance users' lives. The company fosters a collaborative environment, has a presence across the United States and Central/South America, and is in an exciting phase of expansion.
Design, implement, and maintain ingestion paths for multiple data stream types.
Support relational database selection, schema design, and configuration.
Coordinate with the platform security team on S3 encryption and access policy requirements.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors helping agencies navigate complexity and outpace change.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Design, implement, and maintain a streaming-first data platform.
Build and operate a hybrid Databricks and Snowflake architecture.
Champion platform standards, tooling, and best practices across the data organization.
1Password is building a foundation for a safe, productive digital future to unleash employee productivity without compromising security. They have over 180,000 businesses trusting their teams; its culture prioritizes collaboration, clear communication, and alignment with core values.
Design and implement batch and real time ingestion pipelines from internal and external sources.
Implement automated data quality checks, observability, and SLA monitoring.
Optimise datasets and pipelines for analytics, ML training, and API consumption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams that take ownership and crave more, always on the lookout for talented people who bring passion and creativity to every project.
Architect and implement scalable RESTful or GraphQL APIs using Node.js and Express, and design reliable data pipelines.
Structure and model data for product features and analytics, and own schema design, query optimization, and infrastructure on AWS.
Contribute to system design decisions, review front-end code in React when needed, and mentor junior developers.
Homera Health builds some of the largest D2C telemedicine brands and is developing next-generation virtual healthcare experiences. It is a diverse, global team with a fun, casual work environment that values world-class talent across engineering, marketing, and operations.
Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata
Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay
Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs
Onebrief provides collaboration and AI-powered workflow software designed specifically for military staffs, valued at $2.15B. They operate as an all-remote company with a team spanning veterans from all forces and global organizations, and technologists from leading-edge software companies.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and build an integrated data platform, unifying existing tools and pipelines into a cohesive, scalable architecture.
Own data pipelines and SLAs end to end, ensuring reliable data movement between systems with clear expectations.
Shape the data strategy and platform roadmap, researching new technologies and introducing tools as the platform evolves.
Wrapbook is a vertical fintech platform that enables companies to seamlessly onboard, pay, and insure their workforces, operating in the entertainment industry. They are at an exciting stage of growth, having raised over 30M from investors like Andreessen Horowitz.
Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
Architect and evolve our CI/CD processes - enhancing the testing environment and observability.
Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.