Architect and maintain cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Design and automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI.
Manage end-to-end data lifecycles including ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable for the many, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, and pride themselves on a diverse, inclusive culture that values doing the right thing for each other, the community, and the planet.
Design, build, and launch sophisticated data models and visualizations supporting multiple products.
Optimize pipelines, frameworks, and systems for easier development of data artifacts.
Collaborate with cross-functional teams and embody core values such as ownership and customer focus.
Outreach provides the only complete agentic AI platform for revenue teams. The company is used by world leading enterprises like Databricks, SAP, Siemens, and Verizon and promotes a culture of diversity and inclusion.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.
Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of data.
Develop distributed data processing applications using Apache Spark on Databricks and build real-time streaming pipelines with Apache Kafka.
Apply software engineering best practices to data pipelines including CI/CD, automated testing, and peer code review.
InPost is an e-commerce parcel delivery company that operates a network of Automated Parcel Machines (APMs) and pick-up points across nine European countries. Founded in 1999, the company employs thousands and fosters a diverse, international, and cross-functional culture with opportunities for growth and training.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Design and own architectural evolution of data pipelines and platform components using AWS and Snowflake.
Build and maintain robust ingestion pipelines with AWS DMS, AppFlow, and EventBridge.
Optimize analytics datasets in dbt Cloud with dimensional modeling and SCD Type 2 logic.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. It is a nearshore technology services company that empowers businesses to thrive in the digital landscape.
Design and build scalable data pipelines, clean room environments, and privacy-safe integrations for NBCUniversal’s data collaboration ecosystem.
Implement identity resolution logic and configure secure, role-based access controls across data platforms.
Optimize query performance and operational reliability, including monitoring, cost tracking, and incident response.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. A subsidiary of Comcast Corporation, it champions an inclusive culture and has a rich tradition of community service.
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, build, and stabilize Databricks-based data pipelines from ingestion to reporting.
Optimize existing pipelines for performance, scalability, cost efficiency, and reliability.
Collaborate with cross-functional teams to enhance data platform stability and business value.
The company is a partner organization leading a high-impact data transformation initiative. It operates in a fast-paced, technically challenging environment with a collaborative, impact-driven culture.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Architect Spark-driven workflows at scale and design data platforms as products for internal teams.
Develop and maintain end-to-end data pipelines and backend ingestion workflows across multiple sources.
Champion Samsara's cultural principles and mentor junior team members to drive data-driven decisions.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a recently public company, it fosters a culture of rapid career development, ownership, and high performance.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and physician leadership, focusing on scalable operations and cloud-based technology to reduce healthcare costs and improve outcomes.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
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.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data.
Collaborate with stakeholders to design scalable solutions and manage internal data pipelines.
Define data governance policies and leverage AI tools to streamline data pipeline development.
For over four decades, PAR Technology Corporation has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. With over 100,000 restaurants in more than 110 countries, we embrace a 'Better Together' ethos and offer comprehensive software and hardware solutions.