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.
Design and implement scalable cloud data architectures using GCP and BigQuery.
Collaborate with engineering teams and business stakeholders to translate requirements into data solutions.
Establish data governance, security, and best practices across platforms.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they have a close-knit LATAM remote team and value autonomy, open communication, and diversity.
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 and build scalable data pipelines supporting cloud cost visibility and FinOps initiatives.
Develop robust data models and ingestion frameworks for large-scale telemetry and usage data.
Partner with Engineering and Finance teams to optimize cloud spending and drive data-driven decisions.
Our partner is a technology company specializing in cloud cost optimization and FinOps. They operate with a distributed team across LATAM and the US, fostering a collaborative and technically focused culture.
Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume
Shape the detailed architecture from the high-level direction, working with the architecture team
Set the engineering standards and mentor data engineers
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company has over 400 employees and $100 million in annual revenue, with a collaborative culture focused on innovation and customer delight.
Lead the design and implementation of cloud data lakehouse architecture for federal data migration using Databricks.
Oversee ETL pipeline development, schema harmonization, and data quality frameworks within FedRAMP-compliant AWS.
Produce documentation for government review, including data model harmonization reports and authority source registry.
Peraton is a next-generation national security company that drives missions of consequence across land, sea, space, air, and cyberspace. As a leading mission capability integrator and IT provider, they serve essential government agencies and support all U.S. armed forces branches, delivering solutions to protect the nation and allies.
Design and implement enterprise-grade lakehouse architectures using Databricks.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership and partner directly with enterprise clients to translate requirements into robust solutions.
Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.
Design and build scalable cloud data warehouses and reliable ELT pipelines.
Optimize warehouse performance and ensure data quality with strong engineering practices.
Collaborate with data analysts and scientists to deliver actionable insights.
A high-growth technology platform focused on online security and fraud detection. The culture emphasizes autonomy, collaboration, and working in a globally distributed, fully remote environment.
Own AWS data architecture and technical roadmap across ingestion, transformation, storage, and serving.
Build reliable batch and near-real-time pipelines with clear SLAs and observability.
Model ERP supply chain data into a reusable warehouse and lead legacy migration.
Clarium is an AI-powered healthcare supply chain platform that helps hospitals reduce overspending and improve efficiency with its Astra OS. Founded in 2020, Clarium has raised $43M and is trusted by leading health systems, with a collaborative, fast-paced culture.
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.
Lead system design and architecture for scaled data warehouses and data analytics applications.
Ensure technical health and quality by monitoring technical debt and driving reliability best practices.
Mentor and coach engineers on data storage, warehouse, processing, and SRE systems architecture.
Virtru provides a suite of data protection applications and an open platform based on the Trusted Data Format (TDF) open standard, enabling secure data sharing without sacrificing security. Backed by Iconiq Capital, Bessemer Venture Partners, and others, Virtru helps Fortune 500 companies and government agencies with a culture of curiosity and growth.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design, build, and launch high-quality big data solutions on cloud platforms like AWS.
Solve complex data integration problems using ETL patterns, frameworks, and query techniques.
Collaborate with data analysts and scientists to drive profitable growth through data insights.
Mercury Insurance provides auto, home, and business insurance, helping people manage risk for over 60 years. A Forbes-recognized Best Midsize Employer, it values an inclusive, collaborative culture where team members grow and succeed.
Design and implement end-to-end data pipelines on AWS and Oracle DB using Airflow, dbt, and SAP Data Services.
Build and optimize ETL/ELT processes, Data Mesh, and Medallion architectures for a banking client.
Collaborate with analysts and engineers to ensure data quality, security, and performance, with on-call EOD rotation support.
Wise Integration is a technology recruitment firm connecting freelance talent with enterprise clients. They foster a remote-first culture and use AI-assisted recruitment tools.
Design and implement secure, scalable cloud-based integration layers using AWS services like API Gateway, Lambda, and RDS.
Build event-driven architectures with S3, SQS, and SNS for real-time data exchange across enterprise systems.
Automate infrastructure with IaC tools such as CloudFormation or Terraform and ensure compliance with ATO requirements.
Significance is a woman-owned consulting firm that supports federal civilian and Department of Defense customers. The company has been recognized as a Washington Business Journal Best Place to Work for seven consecutive years, fostering a culture of trust, collaboration, and respect.
Contribute to architectural design across cloud, data, and AI/ML systems.
Build cloud-native solutions including microservices, serverless, and containerized workloads.
Implement infrastructure as code, CI/CD pipelines, and data architectures.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers for enterprise operations. Founded in 2009, they have delivery centers in Canada, the US, Eastern Europe, and Latin America, with teams averaging 15+ years of experience and a culture of speed and craft.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
Conduct in-depth assessment of existing data architecture and operational model, identifying improvement opportunities on GCP.
Map the complete data flow from operational/CRM sources to ingestion, transformation, governance, and delivery to analytical products.
Design an integrated future data architecture ensuring interoperability between Salesforce Data Cloud and the cloud/Lakehouse analytical environment.
CI&T helps large enterprises 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 accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.