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Designs and maintains ETL pipelines, integrates ERP and business data, and builds scalable workflows to deliver reliable datasets for analytics and reporting.
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Senior Data Engineer builds and maintains scalable data infrastructure for a pro basketball team, ingesting stats, video, and health data to power analytics and apps using Python, SQL, and cloud tools.
Builds and maintains data pipelines to ingest sports stats, scouting reports, and performance metrics, then structures them for analysis and visualization in apps.
Build and maintain data pipelines and ML infrastructure for robotics telemetry at a food-tech company, using BigQuery, Argo Workflows, Kubernetes, and Python.
Design and build production-grade data pipelines and systems in Python and T-SQL, using dbt, Airflow/Prefect, and PySpark to deliver reliable, scalable data infrastructure for BI and AI workloads.
Part-time role building data pipelines and models using Snowflake, Python, and Prefect to support restaurant industry analytics and integrations.
Lead the data stack at a fast-growing pet-care telemedicine startup: build event pipelines, dbt models, and metrics layers in Snowflake/Amplitude to power product decisions and AI features.
Builds and maintains Kestra’s full-stack orchestration platform, integrating data tools like dbt and Snowflake, using Java/Micronaut backend and Vue 3/TypeScript frontend.
Owns Kestra’s data orchestration product, defining features for data pipelines, integrations with dbt/Airbyte/Snowflake, and migrations from Airflow—releasing value quickly without heavy process.
Build and scale data infrastructure for AI workloads, including ingestion pipelines, data lakes, and Kubernetes-based processing systems.
Builds and maintains the software/data infrastructure for a healthcare AI research project, focusing on developing multi-modal foundation models for blood analysis using anonymized clinical data. Core tech: Python, SQL, distributed systems, Kubernetes, databases (PostgreSQL, DuckDB), data pipelines (Airflow, dbt), and security-by-design principles.
Build and maintain scalable data pipelines and AI/ML platforms for a global biopharma company, integrating models into production and ensuring data reliability and governance.
Senior Business Analyst driving a multi-year investment platform transformation, replacing legacy systems with BlackRock Aladdin and building a Snowflake-based cloud data platform while owning data integration, reconciliation, and capability design.
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery Implementation and…
Build and own Minerva’s consumer-data products, transforming raw signals into trusted attributes and scalable pipelines that power AI agents, APIs, and enterprise marketing campaigns.
Build and maintain the data backbone for autonomous factories, integrating machine signals, quality events, and operational data into reliable datasets for ML, analytics, and scheduling using Python, SQL, Kafka, Snowflake, and Dagster.
Entry-level role assisting senior engineers in building and maintaining government data pipelines, monitoring performance, and ensuring data quality using SQL, Python, and cloud platforms.
WHO WE ARE 🌍 Creating content that resonates is great — turning that attention into growth is even better. That's what Manychat does. Our AI-powered automations help creators and brands engage with audiences…
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