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.
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.
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, 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.
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.
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.
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.
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 complex data engineering workstreams across multiple business areas and source systems.
Define data engineering approaches aligning business needs with platform constraints and transformation patterns.
Guide the design of scalable ingestion, transformation, and serving patterns for cloud data platforms.
Valtech is an experience innovation company that helps brands unlock new value through digital transformation. With a global team, Valtech fosters a culture of creativity, diversity, and collaboration, driven by values of share, care, and dare.
Design and deliver end-to-end data solutions for enterprise clients.
Build and maintain modern data lakes, warehouses, and analytical models.
Act as technical point of contact, mentor engineers, and drive quality.
The company is a consulting firm that delivers modern data platforms and analytics solutions for multinational clients. The culture emphasizes collaborative engineering, technical ownership, and work-life balance.
Design, build, and operate scalable data pipelines using modern ETL/ELT approaches on cloud-native platforms.
Work with technologies such as Databricks, PostgreSQL, and distributed processing frameworks to deliver production-ready solutions.
Collaborate with analysts, data scientists, and AI engineers while mentoring junior team members.
Version 1 is a technology and transformation solutions company trusted by global brands. With over 3,300 employees and €350m revenue, they are a values-driven employer focused on employee wellbeing and professional growth.
Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
Mentor engineers and define data governance, quality, security, and observability standards.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.
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.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
Modernize legacy data platforms and optimize data pipelines for performance, scalability, and cost efficiency.
Implement data governance, data quality frameworks, and collaborate with stakeholders to enable analytics and reporting.
Tech Holding is a full-service consulting firm that delivers predictable outcomes and high-quality solutions to clients. Our founders and team members have deep industry experience from startups to Fortune 50 companies, guided by principles of expertise, integrity, transparency, and dependability.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
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.
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.