Architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications.
Transform static data lakes into active, low-latency backends for real-time, agentic AI applications.
Provide technical leadership, establish engineering best practices, and collaborate cross-functionally in a Tech/Creative environment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ skilled tech professionals in Latin America drives digital disruption by partnering with US companies on impactful projects.
Build and maintain scalable ETL/ELT data pipelines for Microsoft SQL Server and PostgreSQL.
Support AI data preparation workflows including document ingestion and embeddings for RAG systems.
Orchestrate data jobs using Airflow, Azure Data Factory, and SQL Server Agent.
CodeRoad is a technology execution partner that engineers, modernizes, and scales technology for North American companies since 2002. They offer a collaborative, high-trust environment with long-term opportunities and engineering autonomy.
Lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies.
Combine architectural leadership, client advisory, and hands-on expertise covering cloud platforms, data pipelines, and AI/ML.
Guide engineering teams through implementation, mentoring engineers and facilitating discovery workshops.
Truelogic is a nearshore staff augmentation services provider headquartered in New York, delivering top-tier technology solutions to companies of all sizes. With a team of over 600 tech professionals in Latin America, they drive digital disruption by partnering with U.S. companies.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Design scalable data models and reliable pipelines to turn complex real estate information into actionable insights.
Collaborate with Data Science and Product teams to deliver customer-facing data products for rental operations.
Set engineering standards, influence architecture, and drive data reliability within a quality-focused team.
An innovative AI-native technology company transforming how businesses buy, manage, and sell single-family rental properties through high-quality market intelligence. It is a small, quality-focused engineering team that values technical leadership, ownership, and collaboration.
Build, maintain, and optimize scalable data pipelines using SQL, Python, and Spark to support direct mail and digital marketing clients.
Own daily monitoring and maintenance of Databricks workflows, AWS jobs, and related data tools, resolving pipeline failures and schema changes.
Collaborate with analytics, campaign, and account teams to ensure data accuracy, security, and seamless campaign delivery.
Our partner is a growing, data-driven company that builds and maintains data infrastructure for client marketing campaigns. They offer a collaborative environment within a performance-driven team working with modern technologies like SQL, Python, Spark, Databricks, and AWS.
Design and implement scalable data architectures and integration frameworks using Google BigQuery, dbt, and Prefect.
Establish DevOps and DevSecOps practices, ensuring data governance, security, and quality across the data lifecycle.
Collaborate with product owners and multidisciplinary teams to plan sprints, resolve technical challenges, and mentor less experienced professionals.
Brazil Security & IT focuses on IT and security, building modern data architectures and integration frameworks. It promotes technical innovation, knowledge sharing, and an inclusive workplace, with team size not disclosed.
Build and maintain cloud data warehouses and data models for multiple clients.
Develop and manage data pipelines from CRMs and sales platforms, including custom sources.
Replace manual processes with scalable, warehouse-based solutions and ensure data quality.
AltiSales is a leading global professional services company providing strategy, consulting, technology, and operations for Sales and Sales Development. Founded in 2012, it has a team-centric culture and has trained over 200 SDRs.
Design, build, and maintain data pipelines and analytics solutions in Databricks.
Write and optimize SQL and Python code for data processing and analysis.
Apply DevOps practices and CI/CD methods to data workflows.
GoFasti is a Talent-as-a-Service platform connecting world-class developers and designers from Latin America with global companies. The company values proactive, communicative professionals and focuses on bridging talent with first-class clients.
Design and maintain scalable data pipelines using Spark, Flink, Kafka, and Airflow.
Architect robust data models and storage strategies for cloud data warehouses and lakes.
Ensure data quality, monitoring, and compliance with security and regulatory standards.
Coinbase is building the future of the global financial system as a leading crypto exchange. We have a remote-first engineering culture with cross-functional collaboration.
Design, build, and maintain reliable data pipelines and platforms for ICA, a trusted advisor to federal agencies.
Transform structured and unstructured data into dependable datasets for analytics, applications, and AI initiatives.
Collaborate with data scientists, analysts, and software engineers using Python, SQL, and AWS.
ICA assists government clients with evaluating and achieving objectives through research, data analysis, advanced data science, and strategic services. It is a small, rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
Build, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.
Design and build reliable data pipelines that process large volumes of customer warehouse data
Build and run machine learning operations infrastructure from training to production
Own data quality and data modeling to ensure accurate and trustworthy data
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. The company is venture-backed, built on years of database and ML research, and operates fully remotely.
Building core infrastructure software (pipelines, APIs, data modelling) as part of a client's data platform team.
Instrumenting systems for performance and ensuring secure data offerings to internal and external stakeholders.
Choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and streaming.
YLD is a software engineering and design consultancy that empowers clients to build lasting digital capabilities. They have offices in London, Lisbon, and Porto and are built on attracting, inspiring, developing, and retaining extraordinary people.
Own end-to-end delivery of complex data pipelines and integrations, from source onboarding to operational handoff.
Design and maintain dbt models that transform raw data into curated, tested, and consumption-ready datasets.
Ensure pipeline reliability through monitoring, alerting, and root-cause analysis that drives preventative fixes.
Great Minds is a mission-driven Public Benefit Corporation founded by educators in 2007, developing research-based math, science, and ELA curricula trusted by schools nationwide. The organization is high-growth and collaborative, committed to supporting educators and students with meaningful content and responsive service.
Own the data platform from architecture through production, handling high-volume ingestion from APIs, webhooks, files, and scraping.
Implement concurrent processing, event-driven intake, and orchestrated batch workflows using tools like Airflow, dbt, and GCP.
Ensure data correctness through idempotent upserts, safe retries, and automated quality checks.
Fundable is a startup data platform that helps investors and teams discover and research companies. It is a small engineering team with broad ownership and a focus on building reliable data infrastructure.
Lead the architecture and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
Drive enterprise data integration and ETL/ELT workflows while optimizing performance and data quality.
Mentor data engineering teams, establish engineering standards, and collaborate with architecture and business stakeholders.
A partner company of Jobgether is seeking a Data Engineering Lead to drive cloud-based data transformation. It offers a remote-first, flexible, and inclusive working environment with opportunities for professional growth.