Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL.
Implement observability and data quality controls and build monitoring for freshness, volume, schema, distribution, and lineage.
Define and enforce data platform standards, establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization.
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark.
Design and implement RBAC and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable.
Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They pride themselves on their culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
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, 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.
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.
Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.
Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.
Coforge is a global digital services and solutions provider. They offer services in areas like cloud, data, and engineering. The company seems to have a culture of non-discrimination and hires based on skills.
Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data.
Build the self-serve tooling so other teams publish, consume, and build on data products without waiting.
Own data contracts and schema evolution; keep schema changes from turning into multi-team coordination events.
Keyrock is a change-maker in the digital asset space, renowned for its partnerships and innovation. They have over 250 team members around the world with diverse backgrounds and hubs in London, Brussels, and Singapore, hosting regular online and offline hangouts.
Design, build, and maintain scalable data infrastructure using modern cloud technologies.
Develop robust batch and streaming data pipelines to ingest, process, and serve data.
Contribute to the implementation of a modern data lakehouse architecture.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. The system identifies the top-fitting candidates and shares this shortlist with the hiring company.
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.
Engineer the Databricks platform across Azure and GCP.
Evolve data and AI governance in Unity Catalog.
Partner on data, feedback loops, and AI-driven data products.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. They have over 2000 employees around the world and they have a best-in-class HQ in Ottawa, Canada.
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.
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.
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.
Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.
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.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Design and implement medallion architecture using Delta Lake.
Build and optimize scalable data pipelines using Apache Spark.
Implement Unity Catalog for data lineage and access control.
V2 Strategic Advisors transforms media and advertising sales organizations with management and technology consulting. They are a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and the energy and agility of a startup.
Lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with stakeholders.
Establish and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they offer strategic advantages to their clients by offering legal support services at every stage of their legal proceedings.