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 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.
Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.
Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.
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.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
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.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Design and maintain scalable data models in Amazon Redshift to support reporting and analytics.
Collaborate with cross-functional stakeholders to translate business needs into robust data architectures.
Implement data quality processes and promote analytics engineering best practices.
The company is a global technology network specializing in digital media analytics. It employs over 600 professionals across 25+ countries and offers a collaborative, senior-level environment focused on knowledge sharing and technical excellence.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Build, maintain, and operate data pipelines across Snowflake, Airflow, AWS, Python, and SQL.
Optimize Snowflake architecture at scale, including cost controls and performance tuning.
Lead incident response, drive postmortems, and enforce data platform standards across teams.
Attain Finance is a financial technology company that provides lending and financial services through multiple brands. They emphasize a technology-driven, collaborative culture with a focus on operational excellence.
Build and automate data pipelines using AWS to support cross-functional teams.
Manage and prioritize projects to improve data access and reliability.
Investigate and iterate on small improvements to enhance the data environment.
Nex combines technology and play to deliver active gaming experiences that get families moving. It is a growing, product-driven company with a culture that values talent and individual growth.
Design, build, and maintain robust data infrastructure to support business intelligence, analytics, and machine learning initiatives.
Optimize workflows and implement secure, scalable storage solutions using modern data engineering practices.
Collaborate with cross-functional teams to translate business needs into effective technical solutions.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With a team of over 600 skilled tech professionals based in Latin America, they deliver top-tier technology solutions to companies of all sizes, fostering a culture of innovation and growth.
Design and deliver scalable, low-latency streaming data solutions for real-time customer analytics.
Analyze business needs, optimize data models, and write clean code using Scala, Python, and SQL.
Mentor team members and optimize performance of data platforms like AWS Kinesis, Kafka, and Redshift.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide, unifying voice, SMS, WhatsApp, and AI. The company is a unicorn backed by world-class investors, with 45+ nationalities and a strong, collaborative culture.
Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data into data warehouses.
Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
Collaborate with data scientists, analysts, and business stakeholders to deliver effective data solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on efficient and fair candidate evaluation through technology.
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, build, and evolve large-scale, cloud-based data platforms supporting analytics, machine learning, and business intelligence.
Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time processing.
Define data architecture standards, modeling approaches, and governance frameworks across projects.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using AI to ensure fair review and share shortlisted candidates directly with employers.
Designs and implements scalable data ingestion pipelines using AWS services.
Builds APIs and file upload mechanisms for client data ingestion.
Optimizes ETL/ELT processes for performance and reliability.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company offers award-winning software solutions with a focus on client success and a commitment to diversity and inclusion.
Build and optimize data pipeline architecture using SQL, Python, and AWS.
Extend the machine learning platform to support new models and analytics.
Supervise junior data engineers and guide cross-functional data initiatives.
NinjaHoldings revolutionizes financial services for everyday Americans through its CreditNinja, NinjaCard, and NinjaEdge brands. The company is a lean, innovative team with offices in Chicago and Miami, fostering a dynamic start-up culture.
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.