Own end-to-end delivery of data pipelines and data products from design through deployment and production support.
Develop and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
Support large-scale data migrations from Snowflake to Azure Databricks and manage infrastructure with Terraform.
Coforge is a global IT solutions company that provides digital services and solutions to enterprises. They employ thousands of professionals worldwide and focus on innovation and collaboration.
Design and maintain DBT models on Azure Databricks using Delta Lake and Medallion Architecture.
Leverage AI-assisted development tools for model generation, refactoring, and testing.
Enforce data contracts, governance standards, and data observability practices.
Coforge is a global IT services company specializing in digital transformation solutions. They have a large workforce and prioritize a collaborative, skills-based culture.
Lead enterprise data platform migration and modernization projects.
Develop and optimize DBT models within Snowflake environments.
Design scalable data solutions and ensure data quality and governance.
Coforge is a global IT services and consulting company that delivers technology solutions to enterprises. It employs thousands of professionals and fosters a culture of innovation and collaboration.
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.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Design, build, and operationalize data infrastructure powering analytics and business intelligence, including end-to-end data pipeline development and cloud migration.
Own DataOps practices including CI/CD, infrastructure-as-code, and platform reliability across multi-cloud environments in a regulated setting.
Manage data quality, governance, and platform operations, collaborating with compliance and cybersecurity teams in a cleared environment.
Voyager is an innovative space, defense, and national security technology company committed to delivering transformative, mission-critical solutions. They are a company of doers, thinkers, and builders, united by purpose and grounded in reality, with a highly talented team in an innovative, mission-driven environment.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
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.
Design and deliver scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Lead and mentor a team of data and analytics engineers, including hiring, performance management, and career development.
Define the data engineering and analytics roadmap, prioritizing data platform investments and cross-functional initiatives.
Oversee data infrastructure design, reliability, and governance, ensuring accurate dashboards and analytics delivery.
Serve Robotics is reimagining urban deliveries with personable sidewalk robots. We are a team of tech industry veterans in software, hardware, and design, agile, diverse, and driven, focused on collaborative problem-solving.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and/or Azure.
Partner directly with client stakeholders to understand business needs and translate them into technical solutions.
Cuesta Partners is a consulting firm that delivers data engineering solutions in a client-facing environment. They value entrepreneurship, humility, diversity, learning, speed, and balance, and offer a competitive compensation package.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.
Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
Lead the Data & Observability Platform team to build scalable data capabilities and improve engineering velocity.
Partner with Data & Analytics, SRE, and Cloud Platform Engineering to deliver reliable platform foundations and observability.
Drive modernization of legacy data platforms into cloud-native patterns on GCP, Databricks, and dbt.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster an innovative and collaborative culture.
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.
Shield AI is a venture-backed defense-tech company founded in 2015 with the mission of protecting service members and civilians with intelligent systems, developing products like Hivemind autonomy software and V-BAT and X-BAT aircraft. The company has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology actively supports operations worldwide.