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Overview The Data/Fire/Security Engineer will play a pivotal role within our integrated electrical design team, directly interfacing with clients, project managers, and multidisciplinary design leads to deliver robust…
Platform Engineer building and maintaining cloud-native data infrastructure (Kubernetes, dbt, Airflow, IaC on AWS) to power enterprise analytics platforms, on a 3-month contractor basis.
About Us Apollo is a Mission-Critical Infrastructure Engineering, Construction, Commissioning, and Operations Support Services Company. We serve mission-critical industries globally with commissioning, emergency…
The Lead Data & Pipeline Architect will design and implement a scalable Azure-based data platform for a health-tech company, focusing on ingestion, transformation, and governance. The role involves building metadata-driven pipelines and establishing Medallion architecture standards to support analytics and AI.
The Senior Data Engineer will architect and scale data ingestion pipelines and metadata infrastructure to support AI-driven valuation tools and market analytics for art assets. The role involves working with Python, SQL, and various data orchestration tools to process structured and unstructured data for ML and LLM applications.
The Lead Data Engineer will design and manage scalable data pipelines and infrastructure while mentoring a team of engineers. The role requires expertise in big data technologies, cloud platforms, and modern data engineering practices to deliver high-quality data solutions.
The Lead Data Engineer will design and implement scalable data platforms and AI-ready pipelines using the Azure ecosystem, including Microsoft Fabric and Power BI. This role involves leading analytics projects, mentoring team members, and ensuring data governance and security for enterprise clients.
Senior Data Engineer architecting scalable data ingestion pipelines, web scraping systems, and ML-ready data infrastructure for an art/collectibles valuation platform, using Python, SQL, PostgreSQL, and orchestration tools.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and AWS data platform services, including AWS Glue, Redshift, and Apache Airflow. This role involves collaborating with cross-functional teams to deliver reliable data solutions and business-facing models using Python, SQL, and dbt.
Span Digital is seeking a Senior Java Engineer to design and implement robust software solutions for enterprise clients while providing technical leadership and mentorship to junior team members. The role requires deep expertise in Java, cloud platforms, and microservices architecture to drive complex initiatives from concept to deployment.
This Senior/Lead Data Engineer role involves designing and building end-to-end data ingestion and transformation pipelines using the Azure data platform stack. The position requires extensive experience with big data solutions, ETL processes, and advanced SQL programming in an agile environment.
The BI/Data Engineer will support the migration of 400 Tableau reports to Power BI for a client, ensuring functional parity within an Agile development environment. The role involves close collaboration with stakeholders and managing the full lifecycle of report development, testing, and UAT.
Builds and maintains AI-ready data pipelines in Snowflake, bridging raw data ingestion to AI feature outputs. Collaborates with data science and product teams to ensure data systems enable AI capabilities across the organization.
Builds and optimizes Azure-based data pipelines and storage architectures, transforming and processing large datasets for analytics teams while mentoring junior engineers.
The Staff Data Engineer will lead the modernization of Dropbox's analytics platform by designing scalable data models, establishing governance standards, and integrating AI-native tooling. This role involves driving cross-functional alignment and building robust, reusable data pipelines using technologies like Python, SQL, Airflow, and dbt.
Data Engineer & BI role ensuring business operation visibility through reliable, timely data delivery using Python, SQL, Power BI, and SQL Server data warehousing in a food manufacturing setting.
Builds and optimizes scalable data pipelines and ETL/ELT workflows on AWS, handling structured/unstructured data with batch/real-time processing. Works with Redshift, RDS, DynamoDB, and S3 for data modeling and storage optimization.
The Data Engineer will design and implement scalable ETL/ELT pipelines and data processing strategies using Datio and AWS technologies. The role involves modeling databases and optimizing data schemas in a hybrid work environment in Mexico City.
The Jr Reconciliation Data Engineer will support the finance team by automating reconciliation processes and managing data queries. The role requires proficiency in SQL and Python to ensure accurate financial data operations.
Manage and execute data pipelines and a 500M+ record database of contact/company information using SQL (Postgres), Python, ElasticSearch, and Redshift for a remote-first SaaS company serving enterprise sales and marketing teams.
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