Source Job

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, 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.

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.

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.

Responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures. Integrate, transform, and manage high-volume datasets across multiple platforms. Focus on ensuring data quality, performance, and security while driving innovation through the adoption of modern tools and technologies.

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

• 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, 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.

• Work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions.
• Build solutions defined in project backlogs, writing production-ready, well-tested, and documented code across cloud environments.
• Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are a global company and operate fully remote with employees in Canada, the United States, and Latin America fostering a community of technological curiosity.

• Responsible for the collection, extraction, transformation, and correlation of business data across the Subsplash platform.
• Administer and tune data systems to optimize for performance.
• Work with data warehousing/data lake environments to provide data marts for business analysis and intelligence.

Subsplash is an award-winning team that builds The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world.

As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be part of a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.

Fetch is a rewards app that empowers consumers to live rewarded throughout their day and has delivered more than $1 billion in rewards and earned over 5 million five-star reviews.

• Build, manage, and operationalize data pipelines for marketing use cases.
• Develop a comprehensive understanding of customer and marketing data requirements.
• Transform large data sets into targeted customer audiences for personalized experiences.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

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.

• Spearhead the development and optimization of ETL processes and support our Snowflake data warehouse.
• Standardizing ETL processes across the organization to tackling ad hoc projects that arise in a fast-evolving company landscape.
• Streamlining our data management practices and ensuring our data infrastructure scales efficiently with our growth.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation.

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
• Develop and optimize data pipelines leveraging AWS services and Snowflake.
• Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.

ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

• 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.

• 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 and maintain high-quality data models that transform raw data into analytics-ready datasets.
• Model Shopify data including customers, orders, products, and transactional objects for business reporting.
• Build and optimize SQL transformations to support reporting, dashboards, and downstream analytics needs.

EX Squared is a global digital solutions company powered by engineering, analytics, and innovation. The LATAM team works with leading clients on high-visibility projects where data quality and modeling make a real business impact.

• Build and monitor Cribl’s core data tech stack including data pipelines and data warehouse.
• Develop cloud-native services and infrastructure that power scalable and reliable data systems.
• Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets.

Cribl is a company that provides a data engine for IT and Security for various industries.

• 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.