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Internship on Duolingo's Data Science team: derive insights from product data, model user behavior with analytical and AI methods, evaluate product experiments, and build dashboards and forecasts to guide product decisions. Core tools are SQL, Python or R, and statistical methods, with BigQuery/Snowflake/dbt as a plus.
A PhD intern data scientist at Duolingo analyzing large behavioral datasets with SQL, Python/R, and statistical/causal-inference methods to model user behavior, evaluate product experiments, and shape product roadmaps. Work involves collaborating with product and engineering and presenting findings to senior management.
Senior Forward Deployed Engineer at Manifold AI, an AI platform for life sciences: you deploy and configure the platform inside biopharma, academic, and health-system customer environments, building data pipelines, AI agent configs, and integrations from pilot through production. Core stack: Python, SQL, data engineering (Airflow, dbt, Snowflake), AWS, and agentic AI tools.
Contract Data Engineer in San Antonio/Plano, TX, designing and building scalable ELT pipelines in Snowflake using dbt, with advanced SQL, performance tuning, and cost optimization. The role leads technical design and sets up CI/CD and data quality processes.
Senior BI engineer on DoorDash's Data & Analytics team, owning the pipelines and infrastructure that connect SevenRooms' data ecosystem into DoorDash. Day to day: building API integrations, modeling data with DBT/BigQuery/Looker, architecting automated AI flows, and setting data governance standards for GTM, Finance, and Ops stakeholders.
Senior business analyst (data focus) at an institutional asset manager, serving as liaison between business stakeholders and data/technology teams. Gathers and documents data requirements, functional specs, and data mappings, supports data quality and enterprise data APIs, and helps deliver solutions using AWS, Snowflake, DBT, Tableau, and REST APIs.
Senior marketing data analyst at a digital health company, owning measurement across email, direct mail, and digital channels. Day to day: building attribution and marketing mix models, designing A/B tests, developing propensity models in Snowflake with dbt/SQL, and presenting decision-ready insights to senior leadership.
Senior consultant at Alpha FMC delivering data engineering engagements for insurance-industry clients: designing and maintaining data pipelines, integrations and architecture. Core stack is Snowflake with Qlik Replicate/Compose, dbt Labs and Astronomer, plus SQL/Python and AWS/Azure; requires consulting experience and up to 50% travel.
Senior Data Engineer (10+ years) at a client site in Florham Park, NJ (remote considered), designing scalable data architectures and building ETL/ELT pipelines with Python, dbt, and SQL, while optimizing cloud data solutions on Snowflake and AWS.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate…
Consultant at Alpha FMC delivering data engineering and strategy engagements for insurance clients in the US: designing and maintaining data pipelines, integrations and architecture using Snowflake, DBT, Qlik and cloud platforms (AWS/Azure), while analyzing client data and presenting recommendations to stakeholders. Travel up to 75%.
Senior Data Engineer at CI&T building the curated data layer, transformation logic, and reconciliation/data-quality framework for a finance data platform modernization at a major US mortgage lender. Day-to-day is versioned SQL transformation work on Snowflake, dimensional/temporal modeling, and CI/CD-driven data delivery.
Senior Data Developer at CI&T (Brazil) building the curated data layer for a US mortgage lender's finance data platform: writing versioned, incremental SQL transformations on Snowflake, recreating application/business logic as tested models, and implementing reconciliation and data-quality checks within a Git-based CI/CD data SDLC.
ABOUT US At Vida, we help people get better- and we're helping the healthcare system get better, too. Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage…
Senior Data Analyst on a CI&T team modernizing the finance data platform of a major US mortgage lender. Day to day: defining and running data quality checks and reconciliation against Finance benchmarks, validating migrated reports via parallel-run comparisons, and maintaining quality dashboards in Power BI. Core stack: SQL, Power BI, Snowflake, and data-quality frameworks like dbt tests or Great
Senior Data Analyst at CI&T working on data quality and reporting for a large-scale finance data platform modernization at a major US mortgage lender. Day to day: defining and running reconciliation/data-quality checks against Finance benchmarks, validating migrated Power BI reports via parallel-run comparisons, and building data-quality dashboards, using SQL, Power BI, dbt tests/Great Expectation
Fivetran is hiring a Program Manager to be the operational backbone of its pricing and monetization strategy, driving cross-functional execution with Analytics, Product, Sales, RevOps, Finance, and Engineering. Day to day this means running program governance, coordinating launches, tracking commitments, managing escalations, and reporting on pricing impact using tools like Google Sheets/Excel, Ji
Senior UX Researcher at Fivetran (hybrid, Oakland or Denver) leading user research programs for its data-pipeline product: planning mixed-method studies, guiding product/design on research best practices, and synthesizing insights to inform product decisions. Pay ranges $174,391–$217,989 USD.
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Coordinator for Inter's Data & AI team in Investments & Treasury: leads and develops data engineers and AI specialists, coordinates data/ML project delivery, ensures data quality and governance, and drives MLOps deployment of models. Core stack: Python, SQL, Spark, Airflow, dbt, cloud (AWS/Azure/GCP).
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