Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
Define and architect the event-driven data platform for agentic AI workflows.
Partner with engineering leadership to establish security guardrails and multi-tenant experiences.
Guide senior engineers on complex design patterns and adoption of modern data tools.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company offers a modern, high-tech, and fun work environment.
Develop and evolve data ingestion applications using AWS tools such as Glue, Lambda, and SQS.
Optimize data pipelines with partitioning, skew balancing, and performance tuning.
Implement automated testing, code reviews, and deployments with a focus on FinOps.
CI&T helps large companies transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, they foster a collaborative culture where AI is integrated into daily work.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Design and implement data solutions using cloud-native technologies like AWS, Databricks, and Snowflake.
Develop and optimize complex SQL queries and manage data migration at enterprise scale.
Collaborate with Agile teams to drive software and data engineering for a premier banking client.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
CI&T helps large companies transform AI potential 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 25+ countries, they collaborate to build solutions with real impact.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Design and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential 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 over 25 countries, they collaborate to build solutions with real impact.
Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and make necessary adjustments.
Identify bottlenecks and implement performance improvements and optimizations in pipelines and large-scale data processing.
CI&T helps large companies transform AI potential 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 25+ countries, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Design, build, and maintain robust ETL/ELT processes for modern Data Lake architectures.
Write and optimize complex SQL queries using Python and PySpark for large-scale distributed data processing.
Collaborate with cross-functional teams to ensure data governance, quality, and observability across cloud-native platforms.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, we are 8,000 CI&Ters across more than 25 countries.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Design and implement features and services for Reveleer's platform focusing on data processing pipelines.
Write high quality, maintainable code and contribute to system reliability, performance, and security.
Collaborate with product managers, designers, and engineers to deliver agreed outcomes.
Reveleer delivers a unified platform for risk adjustment, quality improvement, clinical intelligence, and member management for health plans and provider organizations. The company is trusted by 80+ customer organizations nationwide and emphasizes transparent, human-in-the-loop AI and regulatory expertise.
Configure and support data ingestion from various sources using APIs, webhooks, syslog, and more.
Develop and maintain pipelines for collection, routing, filtering, enrichment, and transformation.
Validate data completeness and troubleshoot issues, while documenting flows and recommendations.
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations minimize risk. It is a rapidly growing, privately-held company with over 1,300 employees, known for its collaborative culture and mentorship.