Apply technical expertise to extract, integrate, and analyze critical data to identify business challenges and opportunities.
Develop and maintain data warehouses, datamarts, and optimize ETL processes and CI/CD pipelines.
Collaborate with cross-functional teams including Tech, Risk, RevOps, and Marketing to execute initiatives and support business objectives.
Kafene is a fintech company revolutionizing the lease-to-own space with AI-powered analytics. Our 150-person team spans NYC, Wilmington, and remote locations, and we pride ourselves on a collaborative and supportive culture.
Build and edit SQL to power audience building and email and direct mail campaigns.
Work directly with a single enterprise client to understand their business needs and data landscape.
Design and build scalable data models that support the client's analytical and operational goals.
GrowthLoop is a founder-led company that builds a composable customer data platform and agentic marketing engine to help enterprises leverage first-party data for targeted campaigns. They partner with brands like Google, Costco, and Ford, and maintain a remote-first culture with teams across North America and beyond.
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.
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.
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Owner is an AI-native platform that replaces multiple tools for local business owners, starting with restaurants. The company has a low-hundreds team with top talent from successful SMB software companies and a remote-first global culture.
Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
Build and optimize data models in Snowflake for analytics and operational reporting.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Oowlish is a rapidly expanding software development company based in Latin America, collaborating with premier clients from the United States and Europe on pioneering digital solutions. Certified as a Great Place to Work, we offer remote work and a nurturing environment with opportunities for professional development and international impact.
Design, build, and maintain automated ETL pipelines and data frameworks using Snowflake and Python.
Collaborate with business users and teams to define requirements and deliver data solutions within agile methodology.
Validate data quality, troubleshoot issues, and optimize data delivery for analysts and third-party systems.
Empeople Credit Union is a financial institution that provides credit union services to its members. They offer a remote work environment with a focus on data-driven insights and a collaborative culture.
Be the primary owner of high-impact data products, running end-to-end pipelines or building granular data feeds.
Work with massive datasets to answer key client questions and derive insights using proprietary methods.
Improve products and pipelines by developing new methodologies and features, and learn SQL, Python, and PySpark.
YipitData is a leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points daily to provide insights on ridesharing, e-commerce, and more. The company has over 90 Data team members, recently raised $475M from The Carlyle Group, and fosters a people-centric culture focused on mastery, ownership, and transparency.
Design, develop, and optimize scalable ETL pipelines and data integration solutions for enterprise reporting and analytics.
Modernize legacy SQL Server and SSRS reporting solutions by migrating to cloud-based AWS architectures using Amazon Redshift.
Partner with business and technical stakeholders to translate requirements into scalable data solutions and maintain data security and governance.
PDMI has provided pharmacy data processing and other flexible, scalable solutions since 1984, helping clients meet their business objectives. The company was voted Best Employer in Ohio for the 5th consecutive year in 2025 and fosters a collaborative environment.
Collaborate with team members to gather business requirements and design robust data models for analytics.
Configure and maintain cloud data warehouses and ELT pipelines to ensure reliable, high-quality data.
Support global reporting by monitoring data quality, improving data flow, and coordinating with data engineering and IT teams.
Hyland is a content services company providing the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations worldwide. With nearly 4,000 employees, Hyland fosters an employee-centric, inclusive culture that supports career development, wellbeing, and community engagement.
Design, build, and maintain data pipelines and ETL processes to consolidate commercial data into a single source of truth.
Develop, automate, and maintain reporting on core commercial metrics and KPIs for Sales, Marketing, and Revenue leadership.
Drive the evolution of the RevOps analytics ecosystem by implementing scalable data pipelines, automation, and self-service reporting capabilities.
AlphaSense provides market intelligence and search built on proven AI, delivering insights from public and private content including equity research, company filings, and expert calls. Founded in 2011 and headquartered in New York City, the company has over 2,000 employees across the globe and is trusted by more than 6,000 enterprise customers, including a majority of the S&P 500.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
Design, develop, and maintain scalable data models for enterprise reporting and analytics.
Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
Partner with business stakeholders to translate needs into scalable analytical solutions.
Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.
Architect and implement scalable cloud-native analytics platforms like Databricks and Snowflake.
Act as a hands-on bridge between business strategy and engineering teams, translating rules into code.
Design and automate decision engines that integrate multi-source retail and POS data for campaign measurement.
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.
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.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.
Design and maintain scalable Zero-ETL data pipelines for analytics.
Optimize Amazon Redshift data models and Apache Airflow orchestration.
Ensure data quality, reliability, and performance across the platform.
UK Security & IT is a technology partner building a scalable analytics platform for modern data engineering. The company is remote-first with a focus on sustainability, distributed collaboration, and employee wellbeing.
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.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.