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Sr. Data Engineer ( Delta-to-Iceberg Migration) Remote 12 Months Must Have skills: Hands-on data engineer with strong Python skills and experience building large scale Apache Spark pipelines on AWS. Deep platform…
Senior Data Engineer/Architect designing, building, and maintaining data architecture and BI solutions for NSW Health's Sydney Local Health District, working with cloud data infrastructure, SQL, and Python.
Modernize a legacy SQL Server platform into AWS-native data capabilities—designing, building, and optimizing cloud data solutions and migrating databases, ETL, reporting, and analytics workloads using SQL and AWS services.
The Senior Data Engineer will lead the migration of a legacy SQL Server platform to AWS-native services, designing and building scalable data solutions using AWS Glue, Redshift, and QuickSight. The role involves managing ETL workflows, data governance, and CI/CD processes within an Agile enterprise environment.
The Senior Data Engineer/Architect will lead data architecture for the Sydney Local Health District, focusing on integrating data sources and building scalable BI and data warehousing solutions. The role utilizes technologies such as AWS Glue, dbt, SQL, and Python to ensure accurate reporting and decision-making.
The Senior AWS Data Platform Engineer will design and implement scalable, cloud-native data pipelines using AWS services, Kafka, and Apache Flink. This role involves providing technical leadership to build robust batch and real-time data processing solutions.
The Lead Data Engineer will provide technical leadership for an enterprise data warehouse program, focusing on data acquisition, modeling, and ETL development. The role requires extensive experience with Snowflake, AWS, and advanced SQL to guide development teams and improve delivery practices.
The Data Engineer will build and support scalable cloud-native data solutions using AWS services, SQL, and Python/PySpark. The role focuses on ETL/ELT pipeline development, data modeling, and database performance tuning.
This Senior Data Engineer role involves migrating legacy Microsoft SQL Server data platforms to AWS-native services like Aurora, Redshift, and Glue. The engineer will design scalable data pipelines, optimize database performance, and implement CI/CD practices within a large-scale cloud transformation project.
This Senior Data Engineer role involves architecting and developing scalable, cloud-native data platforms on AWS using Python, SQL, and distributed processing tools. The position focuses on building robust data pipelines, implementing data governance, and providing technical leadership within an engineering team.
Build and operate Cyera's next-generation data platform, designing scalable Spark-on-Kubernetes infrastructure, Apache Iceberg lakehouse storage, and Airflow orchestration to power AI security products.
Designs and maintains secure, scalable data pipelines for federal agencies using cloud tools like AWS Glue, Databricks, and Spark, while ensuring data quality and compliance.
Lead AI & Data Analytics Engineer building AI-enabled analytics products for federal acquisition modernization using Palantir Foundry, Microsoft Power Platform, Databricks, SQL, and Python.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
Design and build classified AWS data lake solutions (S3, Glue, Lake Formation, Athena, Redshift) with ETL pipelines and data governance frameworks for the intelligence community.
"We only Accept Local Candidate" New Jersey, New York Description: Summary: Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: Develop ETL pipelines, ensure data…
Senior Data Engineer building and automating ETL/ELT pipelines on AWS, designing data lake architectures, developing QuickSight dashboards, and partnering with cross-functional teams to improve data governance and management insights.
SE REQUIERE Experiencia 3+ años de experiencia como Data Engineer en entornos productivos de gran volumen, con experiencia sólida en Apache Spark, tanto en procesamiento batch como en Spark Structured Streaming,…
Entry-level data engineering consultant role at CapTech, building data pipelines and systems for clients using SQL, Python, and cloud platforms, targeting Dec 2026–Summer 2027 graduates.
Design and maintain scalable data pipelines in Palantir Foundry using Python, PySpark, and cloud services to process pharmaceutical/life-sciences data.
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