Support the collection, integration, and analysis of operational technology and infrastructure data across large-scale facilities.
Design, develop, and maintain data architectures and automated ETL/ELT processes for data ingestion from multiple systems.
Integrate data into enterprise telemetry, monitoring, reporting, and analytics platforms, and troubleshoot production issues.
Blueprint is a technology solutions firm headquartered in Bellevue, Washington, that helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. The company has a strong presence across the United States and values bold, smart, agile, and fun team members.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Prepare clean, documented datasets as a product for AI agents and self-service analytics.
Promova redefines language education for the AI-powered era, making learning accessible and personal worldwide. With over 150 teammates, they blend AI innovation with human creativity to connect people and bridge cultures.
Design, build, and stabilize Databricks-based data pipelines from ingestion to reporting.
Optimize existing pipelines for performance, scalability, cost efficiency, and reliability.
Collaborate with cross-functional teams to enhance data platform stability and business value.
The company is a partner organization leading a high-impact data transformation initiative. It operates in a fast-paced, technically challenging environment with a collaborative, impact-driven culture.
Design, build, and evolve large-scale, cloud-based data platforms supporting analytics, machine learning, and business intelligence.
Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time processing.
Define data architecture standards, modeling approaches, and governance frameworks across projects.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using AI to ensure fair review and share shortlisted candidates directly with employers.
Define and maintain the enterprise data architecture roadmap to align data strategy with business priorities and technology goals.
Lead the design of data platforms including data warehouse and lake-house architecture, and champion Data Mesh strategy for domain-oriented ownership.
Establish standards for data pipelines, transformation logic, and integration frameworks across on-premises and cloud environments.
Lifeway is a Christian mission-driven organization focused on making disciples of Jesus Christ. They foster a Work from Anywhere culture with a strong emphasis on faith, community, and flexibility, serving a medium-to-large team across the U.S.
Lead the design and implementation of enterprise data architecture solutions for a large-scale data modernization initiative within the justice domain.
Collaborate with technical and business stakeholders to define data models, ensure data quality, and enable more efficient access to justice information.
Support testing and validation of data models, ETL processes, and reporting (including Power BI) for analytical use cases.
Jobgether is a job platform that uses AI-powered matching to connect candidates with hiring companies. It is a technology-driven recruitment service focused on efficient and objective candidate evaluation.
Design and build extraction pipelines from SAP HANA to AWS S3 using SLT, ODP, CDS views, SDI, and native HANA SQLScript.
Model raw SAP tables across FI/CO, MM, SD into clean datasets and operate delta/CDC patterns for incremental loads.
Own the write-back path to SAP BW/BW4HANA and collaborate closely with a PySpark engineer to define the S3 boundary contract.
Mactores is the agent-native AWS modernization firm that helps large companies move their data, applications, and AI workloads to AWS. We ship real production systems and our culture is built around 10 core leadership principles that emphasize decision-making, collaboration, and curiosity.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.