Own data pipelines end to end - ingestion, transformation, warehousing, and delivery into BI.
Build and maintain dbt models with tests, documentation, and clear contracts.
Own product analytics: instrumentation, event tracking, usage models, and metrics for GTM and product teams.
Cortex is the Engineering Operations Platform providing visibility, governance, and golden paths for engineering organizations. We are a team of 80 passionate individuals excited about building a product that developers love.
Own external market data ingestion end to end, from acquisition to warehouse delivery.
Build entity resolution and canonical item models to map messy inbound records.
Set schema contracts and maintain dbt models across marketplace, vault, payments, and event data.
We are a collectibles trading platform that enables instant liquidity for items like trading cards and comics, with all assets securely vaulted and insured. We are a remote-first startup focused on growth and innovation, hiring across all functions.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Design and build scalable data pipelines and schemas for client engagements.
Lead data architecture and modeling discussions, weighing tradeoffs.
Mentor teammates and contribute to 8th Light's culture and values.
8th Light is a technology solutions consultancy that partners with organizations to build software, platforms, and agentic products. Founded in 2006, the company fosters an open, collaborative culture grounded in honesty and continuous learning.
Design and maintain data ingestion and transformation pipelines using dbt, SQL, and Python.
Develop semantic and analytical models in star/snowflake schemas and optimize query performance.
Collaborate with analysts and stakeholders to deliver trusted insights and support BI dashboards.
Oddin.gg builds a real-time data platform for esports analytics. The company fosters a collaborative, engineering-led culture with a strong focus on analytics and personal growth.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Design, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.
Create and maintain complex, scalable data models in Snowflake using dbt.
Expose datasets effectively in BI tooling to enable robust self-service analytics.
Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.
Paddle provides digital product companies with a payment infrastructure as a Merchant of Record, eliminating payment fragmentation. They are backed by investors including KKR and FTV Capital, serving over 6,000 software sellers in 245 territories with a transparent, collaborative, and respectful culture.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Lead and grow a high-impact BI data engineering team, setting technical vision and roadmap for data infrastructure.
Design and build scalable ETL/ELT pipelines and data warehouse models, contributing hands-on code in Python and SQL.
Partner cross-functionally with Product, Engineering, Analytics, and Senior Leadership to ensure data reliability, security, and alignment with business priorities.
Carrot is a global fertility and family care platform that provides clinical guidance and support for members from pre-pregnancy through menopause. It serves over a thousand multinational employers and health plans, with a culture focused on mission-driven work and innovation.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.