Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.
Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.
FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.
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.
Own Silver and Gold layers in dbt, building clean, tested models and governing the semantic layer.
Lead BI tooling strategy and enable trusted self-serve analytics for stakeholders.
Partner with data engineering and analysts to translate questions into governed metrics.
We are a privately owned digital marketing company offering predictive analytics to the multifamily industry through our platform, Fiona. Serving ~1,000 multifamily clients, we have been a Top Workplace in Colorado since 2021 with a collaborative, transparent culture.
Build and own the data foundation using dbt and Snowflake, ensuring performant, well-tested models.
Drive data quality and automation with CI/CD, observability, and cross-system reconciliation.
Enable cross-functional collaboration and AI-ready data infrastructure, including semantic layers for AI agents.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners, we're a Series C company with over $100M in annual recurring revenue and a team of agile innovators.
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.
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.
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 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.
Develops and maintains data transformations using SQL and dbt to keep datasets accurate and up to date.
Investigates data quality issues by tracing data back through pipelines to identify root causes.
Collaborates with data developers and analysts to support the onboarding of new data sources.
CI&T helps large enterprises transform AI potential into real business impact with tech-integrated solutions. With 30 years of experience and 8,000 employees across over 25 countries, they foster a collaborative culture focused on innovation and inclusion.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Provide technical advocacy for analytics engineering practices, supporting users and communities through troubleshooting, debugging, and guidance.
Create educational resources like tutorials, documentation, and demos to promote best practices and modern data workflows.
Gather user feedback and translate insights into recommendations for product strategy and continuous improvement.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications to identify top-fitting candidates for hiring companies, focusing on transparency and fair evaluation.
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.
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.
Build and maintain the product analytics data foundation that powers reporting, self-service, experimentation, and AI.
Partner with Engineering to define, implement, and validate product instrumentation before new features are released.
Design and maintain scalable dbt models that transform raw product events into trusted analytical datasets.
Jane builds products and tools for clinics to run their businesses and care for patients. With over 850 team members working remotely across Canada, the US, and the UK, Jane is a founder-led, high-growth SaaS company focused on helping the helpers.
Design and build data pipelines and data models that power analytics and reporting
Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
Define and validate business metrics together with stakeholders, not just implement them
Constructor is the next-generation search and discovery platform for ecommerce, optimizing for revenue, conversion, and profit. We process over 1 billion daily queries across 150 languages and 100 countries, and we foster a culture of empathy, openness, and continuous improvement.
Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation.
Participate in on-call rotation to triage and resolve ETL failures and data unavailability.
Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting.
Splice is a creative platform for music makers, providing a subscription service with sounds, samples, and AI tools. The company has a remote team across the US and UK, fostering a collaborative culture.
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, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt.
Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day.
Own data quality, reliability, and observability end-to-end.
Nansen is an onchain analytics platform that provides insights to traders and funds. The company labels and tracks 500M+ blockchain addresses, fostering a culture of speed, ownership, and curiosity.