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 operate data pipelines for analytics and AI/ML capabilities.
Architect ingestion, transformation, and storage pipelines across diverse data sources.
Implement data models suitable for analytics and BI consumption.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share the shortlist directly with the hiring company.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world with enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They are a values-driven organization with nearly 1000 full-time professionals and an annual growth rate exceeding 25%.
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.
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.
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
Develop data analysis tools to provide insights and capture key metrics.
Columbia General is seeking a Senior Data Engineer to help transform data into actionable insights that drive decision-making. The company fosters a dynamic, collaborative environment that supports growth and innovation.
Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
Develop and optimize data models and schemas across relational and non-relational databases to support system integrations and analytics
Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
INflow Federal, founded in 2013, delivers cutting-edge solutions to the Department of War (DoW) and Joint Force operations. It is a mission-driven small business with over 50% of its workforce being Veterans, investing deeply in professional growth, well-being, and innovation.
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, 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.
Architect, build, and operate data pipelines and analytics platforms in a modern Microsoft Azure stack to support warfighter missions.
Implement data governance, security, and access controls aligned to DoD policy, including row/column-level security and Purview catalog.
Proactively solve complex problems with little direction and operate effectively in a fast-paced environment supporting senior military leadership.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed, investing in technology and prototypes ahead of need. It is headquartered in Tysons, Virginia, with a focus on agility and collaboration to serve defense, space, healthcare, and energy sectors.
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.
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.
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.
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.
Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. They help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.
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.
Build upon and scale our current data infrastructure to meet evolving business needs and capture critical business logic.
Work closely with the Senior Analytics Engineering Manager to create and improve data models and development environments.
Contribute expertise and promote best analytics engineering practices through collaboration with other data teams and stakeholders.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, with brands like GOAT, Flight Club, and Grailed. They have a global community of over 60 million members across 170 countries, offering a wide range of styles through digital platforms and retail locations.
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.
Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms.
Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making.
Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies.
Cotiviti provides payment accuracy and analytics-driven solutions, focusing on healthcare and retail sectors. They are committed to fostering a diverse and inclusive environment where team members can grow and thrive.
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.