Build and Maintain Bronze/Silver Layer Pipelines: ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. They value innovation and a collaborative environment.
Define the vision and roadmap for the data function, prioritizing initiatives for maximum business impact.
Build, mentor, and manage a high-performing Data team while coordinating with external agencies until internal resources are established.
Partner with product, engineering, marketing, operations, and leadership to translate business goals into measurable outcomes.
Jobgether is using AI-powered matching process to ensure application is reviewed quickly by identifying the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps are managed by their internal team.
Design scalable data models and transformation patterns across core data marts.
Partner cross-functionally to translate business problems into data solutions.
Define and drive data governance and certification standards.
AuditBoard is a leading audit, risk, ESG, and InfoSec platform, exceeding $300M ARR and experiencing continued growth. They empower over 50% of the Fortune 500 with their technology, fostering clarity and agility, and are recognized as one of the fastest-growing tech companies in North America.
Design and implement data pipelines using Databricks, PySpark, and Delta Lake.
Work closely with business stakeholders and analysts to understand KPIs.
Model and structure data using dimensional modeling techniques.
Clear Tech specializes in Data, Analytics, and Artificial Intelligence, helping companies around the world transform their data into real business value. Our team combines highly skilled talent in Latin America with global best practices across cloud technologies and delivers end-to-end projects.
Design, build, and maintain scalable data pipelines.
Apply dimensional modeling techniques to design tables and views.
Automate manual processes to improve efficiency and speed.
The Knot Worldwide champions celebration and powers meaningful moments for millions around the world. They are a team of passionate dreamers and doers united by connection and committed to the global community, believing the best ideas come from empowered and collaborative teams.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
Design, develop and deploy efficient data pipeline for both structured and unstructured data
Resultant consists of a team of engineers, mathematicians, data analysts, project managers, and business consultants. They partner with clients in the public and private sectors to help them overcome complex challenges, empowering clients to drive meaningful change.
Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They retain nearly 1000 full-time professionals, and their culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed.
Design, build, and maintain enterprise-scale data pipelines on Snowflake Data Platform.
Design, build, and maintain cloud-native AI/ML solutions (AWS, Azure) that support advanced analytics and decision making.
Implement best practices for data quality, observability, lineage, and governance.
FUJIFILM Biotechnologies is dedicated to making a real difference in people’s lives. They partner with innovative biopharma companies to advance vaccines, cures, and gene therapies, fostering a culture that fuels passion and drive, known as Genki.