Lead and mentor a team of Data Engineers, driving technical excellence and engineering best practices.
Own end-to-end architecture and design of the data platform, ensuring scalability and reliability.
Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
Coforge is a global digital services and solutions provider specializing in data engineering and cloud transformation. With over 20,000 employees, it fosters a culture of innovation, collaboration, and technical excellence.
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.
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.
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.
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.
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 and develop end-to-end data pipelines using Azure Data Factory and Synapse Pipelines.
Manage Azure Databricks workspaces and clusters, optimizing Spark jobs for performance.
Automate infrastructure and deployments with Bicep and Azure DevOps CI/CD pipelines.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and agentic AI. With significant growth since 2016, the company has expanded across the US, Canada, and India, fostering a culture of craftsmanship and collaboration.
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.
Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
Collaborate with business and data science teams to operationalize AI/ML models.
Implement CI/CD practices, data governance, and quality controls.
The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.
Write, optimize, and maintain complex SQL across multiple database platforms and Databricks.
Design and build data ingestion pipelines using API integrations, CDC patterns, and modern data engineering practices.
Develop and maintain Databricks Lakehouse architectures following the Medallion model.
Coforge is a global IT services company specializing in digital transformation and technology solutions. With over 20,000 employees worldwide, the company fosters a collaborative and innovative culture focused on delivering value to clients.
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.
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.
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.
Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and serverless technologies.
Build and optimize complex Azure T-SQL solutions and develop automation frameworks with Python and API orchestration.
Own production pipeline reliability, enforce coding standards, and partner with US onshore leadership to translate business needs into technical solutions.
We are WPP Media, WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. We are a global collective with a culture of respect, belonging, and growth opportunities.
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, build and maintain scalable ingestion and transformation pipelines across Microsoft Fabric and Azure Synapse Analytics.
Develop dimensional and medallion-layer data models, and optimize queries and semantic models for performance.
Act as line manager to junior data engineers, providing technical guidance, mentoring, and performance management.
Morgan Advanced Materials uses advanced ceramic and carbon materials to solve difficult problems for customers across diverse markets. Founded in the UK in 1856, the company has grown into a global organization with 70 sites in 18 countries, approximately 8,000 employees, and revenue of £1,100.7m in 2024.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Design and implement the integration layer between Microsoft Fabric and Azure services, including Azure API Management, Data Factory, Event Hubs, and Databricks.
Define data contracts, API standards, and integration patterns that enable development teams to self-serve against the platform.
Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related tooling, implementing data quality and governance practices.
Renaissance Benefits offers supplemental health and ancillary benefits for employer groups and individuals nationwide. We are a growing company headquartered in Indianapolis, focused on providing outstanding products and services.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.