Develop and maintain data models for core package application and reporting databases.
Monitor execution and performance of daily pipelines and escalate issues.
Collaborate with analytics and business teams to improve data models and pipelines.
Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
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.
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.
Design and build end-to-end data pipelines across the RAW, Silver, and Gold layers of the Medallion Architecture.
Architect data ingestion, transformation, standardization, and serving processes, that structure data flows from diverse and heterogeneous sources into a coherent analytical foundation.
Model data for analytical consumption following Data Warehouse best practices, including Star Schema design and dimensional modeling suited for business intelligence and AI-readiness.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they’ve built partnerships with more than 1,000 clients during their 30 years of history, valuing diverse identities and life experiences.
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, 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, and maintain production-grade AI systems and customer-facing AI features.
Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.
Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.
Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
Process and integrate data from multiple formats and sources (JSON, CSV, XML).
Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.
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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 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.
Design and implement multi-agent AI architectures using AWS Bedrock.
Develop agent orchestration logic and collaborative agent workflows.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
We unite human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, CI&T has built partnerships with more than 1,000 clients during our 30 years of history.
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.
Develop and implement scalable AI/ML solutions for generative AI models including large language models and multimodal architectures.
Design multi-year vision and shape the direction of crucial generative AI areas such as text generation, image synthesis, and personalized content.
Partner with product management and stakeholders to identify use cases, analyze patterns, and maintain compliance in healthcare AI.
Aledade is a healthcare technology company that builds web applications and data pipelines to support primary care. They are a large organization with a culture focused on engineering excellence, observability, and incremental delivery.
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, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
National Debt Relief was founded in 2009 with the goal of helping consumers deal with overwhelming debt. They are one of the most-trusted and best-rated consumer debt relief providers in the United States, having helped over 450,000 people settle over $10 billion of debt.
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.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
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.