Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
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 the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
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.
Lead analytics and reporting for the Service organization, translating business priorities into measurable outcomes and scalable data products.
Manage a high-performing analytics team, overseeing hiring, coaching, and development while providing hands-on technical guidance in SQL, Python, and Databricks.
Partner with Data Engineering, Data Science, and AI teams to build governed semantic models and enterprise reporting that improve member experience and operational performance.
HealthEquity empowers healthcare consumers to save and improve lives by making HSAs as popular as retirement accounts. The company values inclusion, innovation, and offers a supportive culture with benefits like unlimited PTO and professional development.
Support new and existing customers in their data engineering needs, guiding them to make optimal technical decisions.
Build and operationalize complex data solutions, including data governance, security, and quality.
Collaborate across teams to deliver data products and educate end users on analytic environments.
SunnyData is a high-growth consulting company specializing in data engineering and AI, dedicated to the Databricks platform. They foster a collaborative and innovative culture with a focus on customer impact and career growth.
Analyze product usage, feature adoption, and telemetry data to optimize user experience.
Own the end-to-end analytics lifecycle including data modeling, dashboard creation, and KPI development.
Partner with cross-functional stakeholders to deliver actionable insights and mentor associate analysts.
Sonatype is a software supply chain security company providing end-to-end solutions to build secure software. Trusted by over 2,000 organizations including 70% of the Fortune 100, Sonatype values diversity and offers flexible work and parental leave.
Lead and deliver end-to-end Databricks implementation projects at enterprise scale.
Design and architect Lakehouse Platform solutions aligned with client business needs.
Apply deep Apache Spark expertise to optimize distributed workloads and runtime performance.
We are a data infrastructure and analytics consulting practice specializing in Databricks implementations for enterprise clients. Our team is composed of experienced engineers and architects who prioritize production-grade quality and continuous learning.