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Lead Data Engineer building and evolving a data platform for business, BI, and AI uses, defining architecture/quality/security standards, piloting pipelines, and mentoring the Data Engineering team.
Data Engineer responsible for designing and automating data transformations across multiple sources, collaborating with AI, Analytics, and Audit teams. Requires strong SQL/ETL skills, data modeling, and familiarity with Trino, DBT, and Prefect.
A data engineer working on data and decision-making projects in finance, responsible for collecting, transforming, and valuing data while ensuring quality and performance of processing, with expertise in SQL, ETL tools like Stambia/Talend, and data modeling.
Data Engineer responsible for collecting, analyzing, and maintaining data; designing and evolving monthly reports; supporting business teams; and handling data extractions. Core technologies include SQL, SQL Server, SSIS, Azure, and Power BI.
Data & AI Engineer designing, building, and industrializing data pipelines and generative AI/RAG solutions on Google Cloud Platform (BigQuery, Dataform) using Python and SQL for an agricultural ingredients company.
Design and develop scalable big data solutions and Spark applications on client cloud platforms. Optimize ETL processes and maintain data pipelines using Python, Kafka, Airflow, and Dagster.
Data Engineer building and maintaining petabyte-scale data storage and compute infrastructure (Spark, DuckDB, Trino, ClickHouse), orchestrating batch and real-time jobs, optimizing performance and cost, and handling on-call incident response for Vibe.co's Data Platform team.
Data Engineer designing and implementing data models, ingestion pipelines, and transformations for a healthcare data warehouse, focusing on unstructured patient data and compliance with ISO 27001 standards.
Data Engineer/Scientist working with healthcare data to design NLP pipelines, optimize ML algorithms, and implement data standards using Python, SQL, and frameworks like PyTorch and Transformers while ensuring data privacy compliance.
Designs and develops robust ETL/ELT pipelines, models data, and ensures quality/security; uses Power BI, Tableau, or Qlik.
A Data Engineer designs, develops, and automates data transformations to standardize PRGX’s data, collaborates with AI and infrastructure teams to build data-driven solutions and modernize applications, using tools like Trino, DBT, and Prefect.
Data Engineer Databricks role developing data ingestion flows to Data Lake, optimizing pipelines, and contributing to data extraction and visualization while ensuring data quality and team skill development.
Design and operate ETL/ELT pipelines, datamarts, and data warehouses for reporting using cloud platforms (Azure/AWS/GCP), with focus on data governance and security.
Design and deploy data solutions from collection to modeling, building Spark pipelines and leveraging cloud services (AWS/GCP/Azure) in a big data environment.
Design and industrialize data pipelines, model data, and develop BI warehouses to power Power BI, Tableau, and Qlik dashboards using SQL, Python, and cloud environments.
Designs and builds cloud-based data pipelines and AI solutions, integrating Python/SQL with Databricks/Spark to deliver high-value business outcomes for a large tech firm.
Data Engineer responsible for structuring and ensuring data flows, designing architectures, modeling SQL databases, developing processing pipelines, and improving data quality, working with Azure environments and collaborating with users/business teams.
Design and deploy robust data pipelines, model BI data, and supervise ETL/ELT flows. Work on cloud environments (Azure/AWS/GCP), utilize BI tools (Power BI, Tableau, Qlik), and support CI/CD deployment industrialization.
The Data Engineer manages data pipelines using DBT, Airflow, and Python, optimizes flows with SQL and Kafka, and participates in deployment via Hadoop and Power BI.
Design and optimize analytical platforms on Snowflake, ensuring data pipeline architecture, performance, and reliability while collaborating with Data Analysts and Scientists; core technologies include Snowflake, SQL, Python, DBT, and Airflow.
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