Partner with the Director of Data to translate platform vision into engineering execution.
Lead the design and implementation of Kimball-style dimensional models and star schema architectures.
Design, build, and maintain production-grade data pipelines with a focus on reliability and scalability.
BlueLabs is an analytics services and technology company that helps organizations use data for social and commercial impact. With over 400 clients and a diverse team of analysts, scientists, engineers, and strategists, they foster a supportive, collaborative, and mission-driven culture.
Be the Snowflake and dbt expert, guiding best practices and making key design decisions for a new multi-dimensional data model and data warehouse.
Build and maintain pipelines to ingest data from Salesforce and other sources, and transform data using dbt with Medallion architecture.
Work closely with the Business Intelligence team to monitor and implement enhancement requests for the data warehouse to meet stakeholder reporting demands.
Lyra Health is the leading provider of mental health solutions for employers, supporting over 20 million people globally. The company has delivered 13 million sessions of mental health care and is transforming access through its AI-powered platform Lyra Empower.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
Define and drive enterprise-wide data architecture including data warehouses, integration layers, and master data management for scalability and performance.
Enforce data standards, governance, and metadata management while designing optimized logical and dimensional data models for analytics and BI.
Provide technical leadership across cross-functional teams, guiding execution of data initiatives and ensuring quality, security, and system reliability.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through algorithmic shortlisting. The company operates as a remote-driven global enterprise with a focus on efficient recruitment and data privacy compliance.
Design, build, and launch sophisticated data models and visualizations supporting multiple products.
Optimize pipelines, frameworks, and systems for easier development of data artifacts.
Collaborate with cross-functional teams and embody core values such as ownership and customer focus.
Outreach provides the only complete agentic AI platform for revenue teams. The company is used by world leading enterprises like Databricks, SAP, Siemens, and Verizon and promotes a culture of diversity and inclusion.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Design and build scalable data pipelines, clean room environments, and privacy-safe integrations for NBCUniversal’s data collaboration ecosystem.
Implement identity resolution logic and configure secure, role-based access controls across data platforms.
Optimize query performance and operational reliability, including monitoring, cost tracking, and incident response.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. A subsidiary of Comcast Corporation, it champions an inclusive culture and has a rich tradition of community service.
Architect and maintain cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Design and automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI.
Manage end-to-end data lifecycles including ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable for the many, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, and pride themselves on a diverse, inclusive culture that values doing the right thing for each other, the community, and the planet.
Leverage internal data and a modern data stack to provide valuable insights enhancing operations and business outcomes across all departments.
Develop expertise in navigating and generating insights from internal databases including Salesforce, and partner with various departments to identify data needs.
Work with Tableau and SQL to build customized dashboards, visual analyses, and self-serve tools, and leverage Snowflake Intelligence and Claude for AI-driven insights and automation.
Forward Financing is a financial technology company that unlocks capital for small businesses across America by offering revenue-based financing. The company has provided over $3.5 billion in funding to more than 71,000 small businesses and is recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®.
Own and govern experimental Snowflake schemas, translating vague ideas into clear data product strategies.
Lead a team in designing and developing scalable data solutions, establishing best practices for coding and automation.
Manage a portfolio of projects, ensuring high data quality, governance, and alignment with business objectives.
Liberty Mutual is an insurance company leveraging data to drive innovation and manage risk. They are a large organization with a focus on inclusion and professional development, offering comprehensive benefits and workplace flexibility.
Build and maintain dbt models and core datasets supporting Accounting reporting and downstream automation.
Improve platform reliability through testing patterns, alerting, and runbooks.
Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is remote-first with a focus on people-centric culture and competitive benefits.
Design and develop enterprise data models and Snowflake architectures to support insurance analytics and business intelligence.
Collaborate with cross-functional teams to modernize data ecosystems and implement ELT/ETL pipelines using AWS and Medallion architecture.
Integrate Guidewire data across PolicyCenter, ClaimCenter, and BillingCenter to ensure high-quality, governed data assets.
This company provides data modeling and engineering solutions for the Property & Casualty insurance industry, specializing in cloud-based data platforms. It fosters a collaborative and inclusive culture with a focus on remote work and professional growth.
Assist in designing, developing, and maintaining analytical reporting ETL pipelines and front-end dashboards using SQL, Python, Snowflake, and pipeline management tools.
Contribute to QA and UAT protocols, proactively identify and resolve data quality issues, and support training for data users.
Collaborate on advanced analytics prototypes to drive strategic initiatives and maintain documentation for scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing world-class content across film, television, streaming, and theme parks. As a subsidiary of Comcast Corporation, it employs thousands globally and champions an inclusive culture with a rich tradition of community giving.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake.
Architect and optimize Snowflake data models and warehouses for performance and cost efficiency.
Implement data governance, security, and role-based access controls across the platform.
Bounteous is a premier end-to-end digital transformation consultancy that partners with ambitious brands to create digital solutions. With over 4,000 expert team members across the Americas, APAC, and EMEA, they deliver innovative solutions in Strategy, Analytics, Digital Engineering, and more.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Design and maintain scalable data models in Amazon Redshift to support reporting and analytics.
Collaborate with cross-functional stakeholders to translate business needs into robust data architectures.
Implement data quality processes and promote analytics engineering best practices.
The company is a global technology network specializing in digital media analytics. It employs over 600 professionals across 25+ countries and offers a collaborative, senior-level environment focused on knowledge sharing and technical excellence.