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• Architect and implement scalable Lakehouse solutions using Delta Tables and Delta Live Tables.
• Design and orchestrate complex data workflows using Databricks Workflows and Jobs.
• Develop production-grade Python and PySpark code, including custom Python libraries.

Coderio designs and delivers scalable digital solutions for global businesses with a strong technical foundation and a product mindset.

Design, build, and maintain a robust, self-service, scalable, and secure data platform. Create and edit data pipelines, considering business logic, levels of aggregation, and data quality. Enable teams to access and use data effectively through self-service tools and well-modeled datasets.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, with a diversified portfolio of brands and solutions across different countries.

• Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
• Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
• Define and evolve standards for storage, compute, data management, provenance, and orchestration.

Inspiren offers the most complete and connected ecosystem in senior living.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

As a Senior Data Engineer, shape a scalable data platform that drives business insights. Design and maintain robust data pipelines and collaborate with cross-functional teams. Tackle complex data challenges, implement best practices, and mentor junior engineers.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Build and scale data services by designing, developing, and maintaining scalable backend systems and APIs.
• Collaborate on data architecture and models, partnering with engineering and analytics teams to optimize storage and processing workflows.
• Contribute to standards, quality, and governance by building reliable, observable data systems with strong testing and validation.

Zapier builds and uses automation every day to make work more efficient, creative, and human.

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Design, build, and maintain scalable and reliable data pipelines.
• Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
• Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources.

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.

Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.

Own the design, build, and optimization of end-to-end data pipelines. Establish and enforce best practices in data modeling, orchestration, and system reliability. Collaborate with stakeholders to translate requirements into robust, scalable data solutions.

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.

Strengthen the real estate MLS data platform squad. Build robust data pipelines and backend services. Own the end-to-end architecture for MLS and property data.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

• Design, build, and maintain the pipelines that power all data use cases.
• Develop intuitive, performant, and scalable data models that support product features, internal analytics, experimentation, and machine learning workloads.
• Define and enforce standards for accuracy, completeness, lineage, and dependency management.

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences.

• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.

• Design and engineer robust data pipelines using technologies like Databricks, Azure Data Factory, Apache Spark, and Delta Lake.
• Craft healthcare data solutions - processing massive healthcare datasets, optimizing performance, and ensuring data is accurate and secure.
• Communicate technical concepts to non-technical stakeholders, manage multiple priorities, and meet deadlines.

Gentiva offers compassionate care in the comfort of patients' homes as a national leader in hospice, palliative, home health care, and advanced illness management. They have nearly 600 locations and thousands of clinicians across 38 states, offering rewarding careers in a collaborative environment.

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
• Develop and optimize data pipelines leveraging AWS services and Snowflake.
• Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.

ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

Looking for young talent ready to go all in. Offering significant equity to people who want to build something that matters. Define the future of AI in influencer marketing.

Influur is redefining how advertising works through creators, data, and AI, aiming to make influencer marketing as measurable, predictable, and scalable as paid ads.

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
• Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
• Develop and update technical documentation for key systems and data assets.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better.

• Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance.
• Create and maintain data quality tests and improve existing alerting setups.
• Own data warehouse by connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams.

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology.

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
• Implement and maintain data quality measures throughout the data lifecycle

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

• Own Mixbook’s data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse
• Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting
• Define and enforce best practices for dbt modeling, data quality, and metric consistency

Mixbook is the #1 rated photo book service in the US. They are known for their intuitive design platform, exceptional quality, and fanatical customer service, empowering over 6 million people to design and share their one-of-a-kind stories.