Define and implement a scalable, enterprise-wide data architecture aligned with business and technology goals.
Oversee the design and evolution of data lakes, data warehouses, and cloud-based analytics platforms using Databricks, Snowflake, BigQuery, or Redshift.
Direct ETL/ELT strategies, ensuring seamless data flow across systems with Python, Apache Airflow, dbt, or Informatica.
Henry Schein is a Fortune 500 company that provides health care products, services, and solutions to office-based dental and medical practitioners. They serve over 1 million customers in 33 countries with over 300 valued solutions, with approximately 25,000 employees.
Evaluate and optimize the reporting layer of our Snowflake data warehouse to enhance cost efficiency.
Utilize advanced analytic engineering techniques within Snowflake to optimize data transformations and computations.
Optimize query performance by tuning Snowflake configurations and query execution plans.
The Motley Fool is a purpose-driven financial services company with a mission to make the world smarter, happier, and richer. They are a fast-moving, collaborative team that values high-quality work, curiosity, initiative and cares deeply about the impact their work.
Own the end-to-end architecture of the Consumer Canvas product.
Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows.
Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners).
NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually.
Lead the design and implementation of enterprise data solutions.
Guide technical teams and influence client strategy.
Define and direct data strategies aligned with business objectives.
Zennify helps people in regulated industries solve real problems at the intersection of data, AI, and customer experience. You’ll join smart, kind, collaborative people who move with urgency and lead with care.
Design and implement scalable data models in Snowflake
Build and maintain transformation pipelines using dbt
Develop optimized star/snowflake schemas for analytics and reporting
We are looking for a highly skilled Snowflake Data Engineer. We work closely with business stakeholders and deliver high-quality data models and insights.
Define current and future-state data architectures ensuring scalability and efficiency.
Perform gap analysis and contribute to the implementation of the future-state data platform.
Promote best practices across the Big Data Engineering team, ensuring data accuracy.
Smart Working connects skilled professionals with global teams for full-time, long-term roles; they value growth and well-being. It's a remote-first company that is highly rated on Glassdoor, offering a culture that celebrates integrity, excellence, and ambition.
Serve as a technical expert for Snowflake and Azure, leading implementation efforts.
Drive migration from on-prem SQL Server environments to Snowflake.
Optimize data models and compute usage for cost-efficient operations.
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 for final decisions.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.
Design and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.
Design and implement end-to-end data pipelines to transform raw data into actionable insights.
Lead the development of complex data models and transformations leveraging Snowflake and dbt.
Ensure our data infrastructure remains scalable, reliable, and production-ready.
They are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. Their model gives you the opportunity to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.
Lead the design and implementation of highly scalable, robust, and performance database architectures to support enterprise solutions
Develop comprehensive conceptual, logical, and physical data models, define and enforce enterprise-level standards for data naming conventions, modeling principles, and database schema design
Conduct in-depth performance tuning, query optimization, and capacity planning to ensure high availability, reliability, and responsiveness
Foxhole Technology provides robust cybersecurity and IT support capabilities for federal civilian and defense agencies. Their talented employee-owners provide agile, scalable services and solutions that solve operational gaps, operate critical systems, and protect and secure the enterprise – across the organization and around the world.
Utilize SQL and data transformation tools (like DBT and Coalesce) to develop and deploy abstracted data models following the “Medallion” concept.
Collaborate with other engineering teams as well as business analysts and end-users to develop requirements and design useful data models.
Develop DAGs in Apache Airflow for delivering data products to internal and external partners.
Forbright is a nationwide full-service bank and commercial lender focused on helping to build a brighter future for our clients and the communities we serve. They are a dynamic, high energy, fun, and fast-paced organization that has an exciting growth trajectory.
Design and evolve scalable data pipelines and architectures.
Act as the primary anchor for data ingestion, transformation, and storage solutions.
Ensure mission-critical data is accessible and reliable.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, their nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
Design, develop, and maintain scalable data pipelines using cloud data services.
Serve as a technical leader, defining data engineering standards and best practices.
Lead the design and implementation of optimized data models in our cloud data warehouse.
Constant Contact empowers people by giving them the help and tools they need to grow online. They are energized by new challenges and possibilities, and they celebrate diversity and inclusion with programs in place to bring people together.
Design, build, and maintain scalable data pipelines.
Develop and optimize ETL/ELT processes using cloud data technologies.
Partner with teams to understand data requirements and improve data capture strategies.
Blueprint is a technology solutions firm with a strong presence across the United States, solving complicated problems for their clients. They are bold, smart, agile, and fun, and believe in unique perspectives, building teams of people with diverse skillsets and backgrounds.
Design, build, and maintain scalable data pipelines.
Strategic partner to design scalable data solutions.
Develop reliable data models.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market, surpassing $300M ARR and continuing to grow. More than 50% of the Fortune 500 leverage their award-winning technology. They innovate and are proud of what they are producing, assisting each other and breaking through barriers.
Works as a positive team member to deliver quality applications and components within scope.
Leads and proactively identifies emerging technologies and promotes their usage.
Develops strategies for managing complex data sets through maintaining data standards and metadata.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. They welcome candidates who can contribute to the excellence of their academic community.
Define and execute HappyCo’s overall data strategy aligned with company and product goals
Design and implement a canonical entity model that connects data across operational systems
Oversee the architecture and evolution of HappyCo’s data platform, including the data warehouse, pipelines, and transformation layers
HappyCo builds modern property management software that helps owners and operators deliver better living experiences at scale. They are a values-driven company that offers a flexible, supportive culture. Their team is made up of thinkers, talkers, planners, makers, builders and everything in between.
Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.
Design and implement backend APIs that handle hundreds of millions of rows while maintaining high speed and security.
Work on projects that enable data access through modern APIs and AI channels (chatbots, natural language querying).
Design data models, tune query performance, and directly shape how we utilize the Snowflake platform.
IDC provides data and analytical insights. They are building channels that deliver data quickly and reliably, creating a 'single source of truth' for IDC’s data products and modern API layers, including AI tools.