Design, build, and own scalable data pipelines and systems that power analytics, machine learning, and business operations.
Drive system design for data architecture, owning data models and storage solutions to create scalable foundations for the team.
Collaborate with engineering, product, and data teams to translate business needs into technical solutions, ensuring data quality and performance standards.
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.
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.
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.
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.
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.
Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement.
Reviews data-related designs and implementations across teams for architectural consistency, performance, and scalability.
Designs and develops data pipelines, integrations, and platform features with performance and scalability in mind.
Tenna provides a platform that revolutionizes construction equipment fleet operations. They provide innovative solutions to customers looking for competitive ways to better manage and track their assets, such as heavy and light equipment, large fleets, tools, and materials. They value quality-obsessed, gritty, continuous learners, and collaborative problem solvers.
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.
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.
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 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 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.
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.
I lack information about the company from the job posting. Please provide information about what the company does, size/employees, and culture, and I will fill this section out.
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, 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 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.
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.
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 maintain data transformation pipelines with robust testing.
Design, implement, and maintain models with complex domain and business logic.
Optimize data storage and retrieval processes for improved performance and scalability.
Accorded is seeking experienced professionals to join their team. They are located in the San Francisco Bay Area, committed to creating a diverse and inclusive work environment and do not discriminate.
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.