Source Job

• 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.

• 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.

• Develop data models and pipelines for customer-facing applications, research, reporting and machine learning.
• Optimize data models to support efficient data storage and retrieval processes for performance and scalability.
• Optimize ETL processes for ingesting, processing and transforming large volumes of structured and unstructured data into our data ecosystem.

Inspiren offers the most complete and connected ecosystem in senior living bringing peace of mind to residents, families, and staff.

• 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 and maintain scalable data pipelines.
• Structure, transform, and optimize data in Snowflake.
• Implement multi-source ETL/ELT flows (ERP, APIs, files).

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.

• Design, build, and maintain robust and scalable data pipelines from diverse sources.
• Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
• Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.

Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with stakeholders to gather requirements and provide data solutions.

Highmark Health is a national, blended health organization that includes one of America’s largest Blue Cross Blue Shield insurers.

Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

Design and build Data Warehouse and Data lakes, utilizing knowledge of data warehouse principles and concepts. Demonstrate expertise in design and development of complex data pipelines. Utilize SQL and at least one scripting language to trace and resolve data integrity issues.

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies.

• 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.

The Sr Data Engineer, DevX creates the best developer experience for data and application engineers at Basis. They design, implement and maintain deployment and ETL pipelines for data products. Integrate diverse data sources and vendor products, including databases, APIs, and third-party services.

Basis Technologies empowers agencies and brands with cutting-edge software that automates digital media operations, offering flexible work options across the U.S.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

• Partner with data scientists and stakeholders to translate business and ML/AI use cases into scalable data architectures.
• Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large data.
• Build and optimize data storage and processing systems using AWS services to enable efficient data retrieval and analysis.

ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. They provide technology and data solutions to the travel industry, helping millions of travelers reach their destinations efficiently. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.

• Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
• Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
• Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.

Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.

• Analyze, process, and interpret large datasets to generate actionable insights.
• Develop and maintain ingestion and transformation processes.
• Design data warehouse models.

Software Mind develops solutions that make an impact for companies around the globe.

• 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.

• Design, build, and maintain high-volume ETL pipelines and ingestion systems.
• Architect reusable data integrations to replace legacy, bucket-based custom reporting.
• Deliver BI-ready datasets consumed by tools such as Snowflake, Tableau, Looker, or internal platforms.

Ubiminds partners with American software product companies to scale their development footprint by offering staff augmentation and employer-of-record services.

• Build, operate, and scale the company’s transformation, enterprise data, and semantic layers.
• Distill requirements and logic and apply consistent implementation patterns to varying domains and use cases.
• Design, build, and maintain dbt models and macros, test specifications, and technical definitions of key measures and dimensions.

Rexel USA is a large distributor of electrical products, data communication, and related supplies. They operate through eight Regions with over 460 warehouse storefront locations throughout the U.S., focusing on creating an inclusive and diverse workplace.

• 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.