Design, build, and maintain scalable data pipelines and workflows in Snowflake.
Integrate and ingest data from multiple systems into Snowflake.
Develop and optimize SQL queries, views, and materialized datasets.
GTX Solutions is a consulting firm specializing in modern data architecture, Customer Data Platforms (CDPs), and marketing technology enablement. They work with enterprise clients across industries including Retail, Travel, Hospitality, and Financial Services to design and implement scalable data ecosystems.
Design, develop, and maintain scalable data pipelines and data warehouses.
Develop ETL/ELT processes using Python and modern data tools.
Ensure data quality, reliability, and performance across systems.
3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.
Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
Develop and optimize data models in Snowflake or similar platforms.
Implement ETL/ELT processes using Python and modern data tools.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.
Support their managed analytics service client through their data-driven journey and deliver measurable business value through data modeling, API integration, SQL scripting, and data pipeline development.
Bridge the important gap between data applications and insightful business reports.
Participate in building our data platform from the ground up by exploring new technologies & vendors within our cloud-first environment
DataDrive is a fast-growing managed analytics service provider that provides modern cloud analytics data platforms to data-driven organizations, while also supporting ongoing training, adoption, and growth of our clients’ data cultures. DataDrive offers a unique team-oriented environment where one can develop their skills and work directly with some of the most talented analytics professionals in the business.
Migrate data and analytics workloads from BigQuery to Snowflake
Develop and optimize ETL/ELT pipelines using Python and SQL
Build analytics-ready datasets for reporting and dashboards
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms to help clients drive action and impact through data and insights.
Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
Write and optimize advanced SQL queries for performance and reliability.
Implement ETL/ELT processes to ingest and transform data from multiple sources.
Nagarro is a digital product engineering company that is scaling in a big way and builds products, services, and experiences that inspire, excite, and delight.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content. They hold over 200 million fares across 160 countries and the travel industry relies on their technology and data solutions. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.
Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. They help customers in various industries rapidly adapt to change and innovate for competitive advantage.
Partner with clients and implementation teams to understand data distribution requirements.
Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Define and enforce data governance, security, and privacy policies.
BlueMatrix and Street Context develop web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art.
As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.
Develop and maintain scalable data pipelines and ETL processes.
Design, build, and optimize data models and databases.
Perform data analysis, data mining, and statistical modeling.
We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.
Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud.
Quickly build subject matter expertise in a specific business area and data domain.
Support defining and executing the overarching strategy for the analytics engineering function.
Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses with enterprise-grade, fully owned, and managed cybersecurity products.
Play a key role in ensuring the stability, scalability, and efficiency of data platforms and pipelines. Work at the intersection of data engineering, database administration, and technical operations, supporting critical analytics workflows. Monitor, troubleshoot, and optimize databases and data warehouses, while implementing automation and orchestration solutions using Python.
This position is posted by Jobgether on behalf of a partner company, and they use an AI-powered matching process to ensure your application is reviewed quickly.