Build and support the company's internal technical platform, establishing engineering standards and operational practices for a growing ecosystem of internal applications and AI-enabled tools.
Own and extend the data platform by maintaining and expanding the Azure Fabric Lakehouse architecture and building reliable ingestion pipelines.
Support internal analytics and operational stakeholders by working directly with leadership to address reporting requests and enable scalable self-service data access.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
Build cloud-native solutions using Azure, Databricks, and big data technologies.
Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.
Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.
Own day-to-day operations of Azure SQL Managed Instance environments including performance monitoring and troubleshooting.
Monitor, triage, and restart Azure Data Factory pipeline runs and troubleshoot integration failures.
Design and implement automation solutions using PowerShell, Python, or Azure-native tools to eliminate manual work.
EverOps is a premier Embedded Service Provider that partners directly with customer engineering and operations teams to address delivery and service issues in the DevOps and DataOps space. They have a dynamic team in a U.S.-Based Virtual Operating Center, fostering empowerment and mentorship.
Design and maintain data pipelines using Azure Databricks, PySpark, and SQL.
Build and optimize Lakehouse architectures with Delta Lake and Azure Data Factory.
Collaborate with BI teams and support Power BI while evolving cloud-based data platforms.
Miratech is a global IT services and consulting company that helps visionaries change the world through digital transformation for some of the world's largest enterprises. With nearly 1,000 full-time professionals and a culture of Relentless Performance, they have achieved over 99% project success since 1989.
Owning cloud infrastructure on Azure, data pipeline orchestration, CI/CD, and observability to ensure production-grade reliability.
Building and maintaining foundational infrastructure that enables fast engineering velocity without breaking things.
Applying SRE principles such as SLOs, capacity planning, incident response, and eliminating toil through automation.
Terzo's platform processes enterprise-scale document corpora, powers real-time AI agents, and serves the Financial Intelligence Graph to Fortune 500 customers. As a small, senior team with strong ownership and minimal bureaucracy, we foster a culture of collaboration, mentorship, and continuous improvement.
Design the technical architecture of the Databricks Data Warehouse and act as the pattern reviewer for the team.
Build and optimize secure self-service frameworks for batch and streaming data so the same request is never solved by hand twice.
Treat the platform like production software by defining SLOs, owning observability, and leading incident triage.
Tilt uses machine learning and mobile-first products to provide credit based on over 250 real-time financial signals, not just credit scores. With millions of customers worldwide, the company is building a new credit system for working people.
Works as a positive team member to deliver quality data applications within scope, on time, and within budget.
Develops strategies for managing complex data sets and integrates disparate data sources for improved reporting.
Mentors other analysts on regulation adherence and follows HIPAA standards.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. The organization offers a diverse and inclusive environment, with a focus on academic excellence and equal opportunity.
Design, build, and maintain scalable infrastructure for data engineering and analytics workloads in Databricks and Azure.
Implement and manage CI/CD pipelines, infrastructure as code, and monitoring systems to support data platform operations.
Mentor junior engineers and contribute to infrastructure best practices and internal tooling development.
Enveda Therapeutics is a biotech company leveraging technology to discover and develop new medicines from nature. The company is a growing organization that values innovation and offers a collaborative culture with benefits like flexible PTO.
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.
Partner directly with enterprise customers to design, build, and scale data solutions that power business-critical applications.
Architect modern cloud-native data platforms using Databricks, ClickHouse, Python, and distributed processing frameworks.
Drive best practices in data governance, security, observability, and operational excellence across engineering teams.
Resilinc pioneers intelligent, autonomous systems for supply chain risk management, using agentic AI to help global enterprises predict disruptions and act in real time. The company is a fully remote, mission-led team with a collaborative culture, trusted by top companies in various industries.
Design and implement scalable data capabilities including large-scale ingestion, transformation pipelines, and high-performance APIs.
Contribute to evolving a proprietary data platform towards a data mesh architecture across Azure and AWS environments.
Mentor less experienced engineers through design discussions, code reviews, and practical knowledge sharing.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our cross-functional engineering teams take ownership and crave more, embracing openness, respect, grit, and enjoyment.
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.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Design, build, and maintain data-processing automations including ETL, Power Platform solutions, and Azure services.
Develop and maintain data ingestion pipelines, BI reporting, and Power BI semantic models for scalable data operations.
Manage Azure resources, Power Platform environments, and ensure security and compliance across data workflows.
Beyondsoft is a mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor business solutions. With a global team of diverse experts across four continents, the company fosters a culture of collaboration, transparency, and accountability.
Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data across analytics, AI, and operational use cases.
Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams move and access data safely.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a publicly traded company, Samsara fosters a growth-oriented culture and serves industries that represent over 40% of global GDP.
Design and deploy ML-based anomaly detection pipelines to flag data discrepancies early in the ETL process.
Build AI-assisted field mapping and classification tooling to accelerate schema mapping across data conversion cycles.
Develop automated data quality scoring pipelines and maintain lightweight AI tooling for staff to operate and extend.
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Since 1996, the company has delivered customized IT talent solutions to global clients across North America, serving industries like finance, healthcare, and government.
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.
Design, build, and maintain scalable data pipelines and platform components for analytics, BI, data science, and AI.
Lead evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards.
Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making.
Jobgether uses AI-powered matching to connect candidates with hiring companies. This role is for a partner company building a modern data and AI platform, fostering a collaborative and engineering-driven culture with emphasis on innovation and learning.
Assist TSD with data products by providing expertise on data engineering methods and best practices.
Design, implement, and maintain efficient data architecture and ELT/ETL pipelines in Azure Synapse and Azure Machine Learning.
Incorporate source control, quality controls, and documentation for all pipelines and data assets.
Integres, LLC is a Service-Disabled Veteran Owned Small Business providing IT solutions. They cultivate a corporate family culture emphasizing work/life balance and servant-leadership.
Design and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics.
Collaborate with data scientists and analysts to deliver high-quality analytical data for decision-making.
Optimize data pipelines for scalability and performance while ensuring data accuracy and compliance.
Bluelight is a leading software consultancy focused on designing and developing innovative technology to improve users' lives. With a presence across the United States and Central/South America, the company values quality, customer satisfaction, and a collaborative culture where each team member can grow.