Design and validate data mapping and integration solutions to ensure data quality across healthcare systems.
Investigate and resolve complex data issues while collaborating with business and technical stakeholders.
Mentor other analysts and promote best practices for scalable, accurate data solutions.
Cohere Health provides a clinical intelligence platform and agentic AI-powered solutions that connect health plans and providers to optimize care speed, cost, and quality. The company has been named to the 2025 Inc. 5000 list and is backed by leading investors, fostering a supportive, growth-oriented culture for its team.
Extract, transform, and load data using big data platforms like Palantir Foundry, leveraging Python and PySpark.
Build low-code no-code applications for real-time readiness dashboards and automate data ingestion from legacy systems.
Create predictive models to forecast equipment failures, personnel shortages, or budget overruns.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. With a focus on agility and collaboration, LMI serves defense, space, healthcare, and energy sectors, delivering impactful results.
Collaborate with cross-functional teams to design and deliver scalable data solutions for the Unified Data Platform on Azure Fabric.
Build and optimize data pipelines, ETL/ELT processes, and ensure data quality and compliance with HIPAA and governance standards.
Work directly with researchers to translate requirements into technical designs and contribute to the evaluation of emerging technologies.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate and prepare leaders for the future. It is a large academic institution with a collaborative culture focused on research, education, and community impact.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Lead complex data engineering workstreams across multiple business areas and source systems.
Define data engineering approaches aligning business needs with platform constraints and transformation patterns.
Guide the design of scalable ingestion, transformation, and serving patterns for cloud data platforms.
Valtech is an experience innovation company that helps brands unlock new value through digital transformation. With a global team, Valtech fosters a culture of creativity, diversity, and collaboration, driven by values of share, care, and dare.
Own Kepler data content end-to-end, driving product success with accurate outputs and increasing client value.
Tackle complex data problems using analytical judgment to refine methodologies and derive key insights.
Use AI and tooling to drive leverage, automating workflows and validating outputs.
YipitData is the leading market research and analytics firm for the disruptive economy, having raised $475M. Its award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Own Databricks production support for the Sugar Predict data platform, including monitoring and incident response.
Migrate legacy ETL pipelines to Databricks, building automation tooling to reduce manual intervention.
Design and build high-performance Databricks pipelines that ingest and serve ERP and CRM data at scale across Azure and AWS.
SugarAI is redefining CRM for the age of AI by turning fragmented customer and revenue signals into clear, prioritized action. With a global team committed to impact, ownership, and continuous growth, we create an environment where thoughtful ideas move quickly and people are trusted to lead.
Lead development and deployment of machine learning models, statistical analyses, and data experiments for predictive maintenance and logistics optimization.
Oversee data collection, ETL pipelines, and exploratory data analysis to drive product development.
Collaborate with multi-functional teams in an Agile environment to integrate models into applications and monitor performance.
Redhorse Corporation delivers data insights and technology solutions to customers with missions critical to U.S. national interests. The company is a solution-driven firm seeking thoughtful, skilled professionals who thrive as trusted partners in a collaborative culture.
Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.