Design and build ingestion pipelines from enterprise source systems into the Databricks lakehouse using Delta Lake, owning Bronze-layer ingestion and building Silver-layer pipelines for cleansing and standardization.
Implement and maintain Databricks platform constructs for secure delivery, including catalogs, schemas, service principals, and job orchestration, and build CI/CD pipelines for data platform assets.
Apply data classification and segregation requirements within pipeline design, build data quality controls reflecting business meaning, and partner with teams to ensure reliable, governed data for downstream use.
Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing.
Implement Delta Lake principles focusing on CDC and schema evolution, and integrate data quality frameworks within CI/CD pipelines.
Develop and optimize complex SQL and Python scripts, handling diverse data sources and supporting data governance solutions.
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow.
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 and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Design and build production data pipelines using Databricks technologies such as Lakeflow, Autoloader, and Structured Streaming.
Architect and implement Lakehouse solutions on Databricks with medallion architecture, Delta Lake, and Unity Catalog.
Consult with clients to understand data challenges and implement sustainable data strategies and solutions.
Livefront helps companies design and build world-class digital products that command attention and inspire joy. They are a consultancy with a reputation for excellence, working with household names and startups, and they value collaboration, quality, and community.
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.
Lead the technical migration from legacy SQL Server to Databricks Lakehouse, ensuring best practice Lakehouse design.
Design robust ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows.
Enforce governance standards and implement data security using Unity Catalog.
We are an IT staffing and consulting firm that provides specialized engineers to government clients. Our culture emphasizes quality placements and technical excellence.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.
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.
Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks.
Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions.
Partner directly with business stakeholders across domains to clarify KPI definitions and resolve competing definitions before implementation.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. The company has offices across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology supports operations worldwide.
Design and implement end-to-end data solutions using Azure Databricks, PySpark, and Azure Data Factory.
Drive automation in data integration and build API-based integrations and real-time ingestion frameworks.
Lead technical design reviews, mentor junior engineers, and partner with business stakeholders.
Alimentiv is a life sciences and healthcare technology company that provides data solutions and analytics. The corporate operations team in Bangalore focuses on technology and innovation, employing a team of engineers and data professionals.
Lead data engineering efforts within Palantir Foundry, including ontology design, pipeline development, and data integration for Army AI2C mission applications.
Build and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs.
Provide technical leadership and mentorship to grow team capabilities across Foundry and Databricks.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. The company serves defense, space, healthcare, and energy sectors, and is headquartered in Tysons, Virginia.
Design and deploy highly performant end-to-end data architectures using Databricks and Apache Spark.
Develop and manage scalable batch and streaming solutions in cloud ecosystems like AWS, Azure, or GCP.
Lead large-scale data engineering projects, ensuring technical delivery and client management.
Derex Technologies Inc provides IT consulting, staffing solutions, and software services to global clients. With over two decades of experience, the company delivers high-quality technology professionals across various industries.
Build medallion architecture in dbt and Microsoft Fabric to support self-serve data analytics.
Create and maintain data ingestion pipelines for efficient data flow and integration.
Establish data governance, lineage, documentation, and quality checks to ensure data integrity.
Hone is an online medical clinic transforming healthcare and enhancing longevity through cutting-edge scientific advancements. The company is fully remote and values a mission-driven, collaborative culture focused on empowering people to live longer and better lives.
Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time workloads.
Build and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and orchestration frameworks.
Partner with data scientists, ML engineers, and product teams to deliver data products and establish data quality frameworks.
Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of crypto products to individuals and institutions in over 70 countries. As a publicly traded company, Gemini is poised to accelerate the vision of reshaping the global financial system with greater scale, reach, and impact.
Design and build production data pipelines on Databricks using medallion architecture and Data Vault 2.0.
Harden curated and presentation layers to drive donor lifetime value, retention, and campaign ROI.
Build identity resolution and data observability to ensure trustworthy data for 24,000+ nonprofits and AI agents.
Bloomerang offers a giving platform and support for nonprofits to raise more and retain donors. They serve tens of thousands of nonprofits and have a culture built on core values of Simplify, Care, and Act.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
Lead impactful customer technical projects by delivering production-grade systems spanning data engineering, AI, and application development.
Guide strategic customers in implementing end-to-end big data and AI projects, including architecture, design, build, and deployment.
Empower customers by providing architecture guidance and ensuring solutions are secure, scalable, and aligned with Databricks best practices.
Databricks is the data and AI company. More than 10,000 organizations worldwide, including Comcast and Condé Nast, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco and fosters a diverse, inclusive culture.