Build and maintain ELT pipelines using Snowflake and dbt to power the company's data platform.
Own the reliability and performance of the data stack, including testing, monitoring, and alerting.
Collaborate with internal teams and external clients to translate business needs into durable data solutions.
Jump is transforming the live sports experience with an end-to-end fan engagement platform for sports teams and venues. They are a remote-first team backed by top investors, driven by values of trust, teamwork, and innovation.
Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance.
Analyze DNA and RNA sequencing data from targeted assays, including SNVs, indels, CNVs, fusions, coverage, and artifacts.
Collaborate cross-functionally with molecular biology, software, and clinical teams to investigate assay behavior and improve design.
Pillar Biosciences develops next-generation sequencing assays for oncology and other human genomic applications. The company fosters a collaborative, cross-functional culture with a focus on innovation and team science.
Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake through PR-driven development.
Manage production monitoring, backfills, and Airbyte connections to ensure reliable daily data flows.
Collaborate with analytics and product teams on dimensional modeling and data quality, and participate in code review and runbook writing.
PadSplit is at the forefront of solving the affordable housing crisis through its tech-driven platform. They have a growing remote-first team and offer a competitive benefits package including unlimited PTO and paid parental leave.
Design, build, and maintain cybersecurity data pipelines using Cribl, managing data flows from source systems into SIEM and data lake platforms.
Develop and integrate connectors for security data ingestion, configure parsing, routing, and transformation, and support SIEM architecture and operations.
Troubleshoot complex pipeline issues, create documentation, and collaborate with cross-functional teams to ensure data accuracy, security, and performance.
Cribl is a cybersecurity and data engineering company that helps organizations manage and optimize security data pipelines for SIEM and data lake environments. As a growing company with a small team, they emphasize independent problem-solving, collaboration, and a culture that values technical excellence and clear communication.
Lead data governance standards and analytics architecture, ensuring initiatives are built on a scalable and governed foundation.
Serve as a technical partner to Innovation, Data Science, and Reporting teams, guiding solution design and delivery.
Define guardrails, manage technical debt, and assess feasibility to drive measurable business outcomes.
Cotiviti is a healthcare analytics company that helps clients improve financial and clinical outcomes through data-driven solutions. The company values a collaborative culture and supports a distributed team, emphasizing high-performance and customer satisfaction.
Design and implement modern data platforms using Microsoft Fabric and Databricks, building performant ELT/ETL pipelines and scalable lakehouse architectures.
Develop complex Power BI data models and visually compelling reports that drive measurable client decisions, ensuring data quality and usability.
Work directly with client stakeholders to gather requirements, provide expert guidance, and build strong relationships as a trusted technical advisor.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are a fully remote team with a growth mindset and a focus on helping enterprises make better decisions.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Manage and mentor a multi-disciplinary team of data engineers and data scientists, fostering collaboration and technical excellence.
Oversee the design and maintenance of scalable data pipelines and data architecture to ensure timely data availability.
Partner with analytics and product teams to define data strategy and enforce data quality standards using Snowflake and Looker.
InStride Health delivers specialty anxiety and OCD care for children and families, combining evidence-based clinical care with innovative technology. The company is a fully remote, mission-driven team that values collaboration, humility, and community.
Own a multimodal ML work-stream from problem definition through deployment, translating clinical needs into clear ML objectives and building systems with transformers, self-supervised learning, and segmentation.
Design rigorous evaluations beyond offline metrics, partner with engineering to productionize models, and investigate failure modes like laterality errors and hallucination.
Communicate research findings clearly, mentor less experienced researchers, and contribute to the research roadmap by identifying promising approaches.
Rad AI is an AI-driven healthcare company revolutionizing radiology by saving time, reducing burnout, and improving patient care. With over $140M in funding, a valuation of $528M, and partnerships with thousands of radiologists, Rad AI is a fast-growing team of mission-driven innovators.