Design and develop scalable data architectures and cloud-based data solutions using GCP.
Build and maintain data pipelines using BigQuery, Dataflow, Dataform, and other GCP data services.
Collaborate with technical and business stakeholders to translate requirements into reliable data products.
Huge is an independent, human-first AI-native design and technology company. They bring together more than 1,000 design and technology experts worldwide to partner with ambitious brands.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
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, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.
Lead the GCP data engineering practice, defining technical vision for data modeling, ingestion, lakehouse architectures, and cloud cost optimization.
Oversee end-to-end design and deployment of enterprise data platforms using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Drive GenAI enablement by building production data pipelines, vector search infrastructure, and RAG frameworks using Vertex AI and BigQuery ML.
TTEC Digital coaches clients to ensure employees feel valued and fully supported, fostering an employee-first approach to exceptional customer experience. With 1,800+ employees and a sister company of 60,000+, they are Great Place To Work certified and committed to diversity and inclusion.
Design, build, and maintain scalable data pipelines for analytics and operational use cases.
Develop dbt models, manage Airflow orchestration, and drive data quality and observability.
Lead technical design reviews, mentor engineers, and champion self-service analytics.
PENN Entertainment is a leading provider of integrated entertainment, sports content, and casino gaming experiences. With locations throughout North America, we support career growth and challenge conventions in gaming.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Support and maintain production GCP data platforms, pipelines, and workflows.
Optimize Airflow DAGs and troubleshoot pipeline failures and performance issues.
Collaborate with cross-functional teams on production issues and enhancements.
Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, it delivers high-quality data and outcomes for customers.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Own the design, development, and support of data pipelines for B2B clients using BigQuery, dbt, and Python.
Partner with client teams to translate marketing and business requirements into reliable, scalable data solutions.
Build standardized data capabilities by identifying recurring client needs and creating reusable components.
Wpromote is a digital marketing agency that helps clients grow through data-driven strategies. With a remote-first culture, they have been recognized as a Best Place to Work and are expanding their teams.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Design and build data pipelines for ML use cases, implementing data versioning and orchestration.
Deploy data scientists' scripts and models from notebooks to production, managing Python dependencies and CI/CD.
Optimize data processing jobs for performance and cost on distributed systems and cloud data services.
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach, operating in 100+ markets.
Lead end-to-end architecture of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, and Dataplex.
Collaborate with customers to translate business goals into robust architectural blueprints and actionable plans.
Design and implement data pipelines for real-time and batch ingestion with modern orchestration frameworks.
Egen is a data-first technology company that helps clients drive action and impact through data and insights using advanced platforms like Google Cloud and Salesforce. It is a fast-growing, entrepreneurial company with a culture dedicated to learning, innovation, and solving tough problems.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
Migrate data workloads from legacy SQL Server to modern cloud platforms.
Design and maintain production-grade ETL/ELT pipelines and analytical data models.
Collaborate with analysts and stakeholders to translate complex requirements into robust cloud solutions.
The company is a technology organization focused on modernizing data infrastructure and building scalable cloud-based data products. It operates in a globally distributed environment with a focus on engineering best practices and AI-assisted automation.
Lead design, implementation, and optimization of complex enterprise data engineering solutions for scalable, secure data platforms.
Develop advanced data pipelines, integration frameworks, quality processes, and monitoring capabilities across enterprise systems.
Provide technical leadership, mentor engineers, and drive continuous improvement in performance, automation, and operational excellence.
The University of Kansas Health System is a world-class healthcare provider in Kansas City, part of a premier academic medical center. It is driven by commitment to service, continuous improvement, and excellence, with a collaborative culture among physicians, nurses, researchers, and professionals.