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FP&A Operations Manager - IR & Strategy
Job Description Summary Job Description Summary This Finance Leader will serve as a key operational pillar for the Power segment, acting as a strategic partner to the Power CFO & FP&A leadership team, and…
Manager, Data and Analytics
About Ascent Ascent Global Logistics, headquartered in Belleville, Michigan, is a leading global provider of expedited, time-critical logistics solutions and other direct transportation services. The company connects…
Data Analyst/Data Scientist
Data Analyst/Data Scientist building automated ETL workflows, data pipelines, and Tableau dashboards using Python, SQL, and Alteryx to support the Missile Defense Agency's Digital Engineering transformation.
Lead Tech Business Mgmt - AI Software Engineer
AI Software Engineer at AT&T designing, building, and maintaining data-driven solutions spanning systems integration, data pipelines, AI/ML enablement, and dashboards using Python/Java/C#/JS, SQL, APIs, and BI tools.
Senior Data Engineer
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using Snowflake and Fivetran. The role involves collaborating with cross-functional teams to ensure data reliability, security, and performance for analytics and predictive modeling.
Principal Data Engineer
Leads cloud-native data platform design and delivery for a fintech transformation, combining technical leadership with hands-on engineering for Databricks/AWS-based pipelines and lakehouse architectures.
Principal Data Engineer
Designs, builds, and maintains data pipelines, warehouses, and infrastructure to enable data-driven decision-making; collaborates with stakeholders to democratize data and optimize analytics solutions.
Data Analytics Manager
Lead a team of analysts to transform semiconductor industry data into actionable insights using Tableau, ETL, and AI tools, ensuring high-quality reporting and strategic decision-making.
Senior Data Engineer
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
Data Engineer
The Data Engineer builds and optimizes analytical data pipelines and platforms using SQL and Python to support enterprise reporting. The role involves designing ETL/ELT processes, managing data warehouse structures, and creating semantic models within a cloud-based environment.
C-BRAIN Data Engineer (Remote) - Neurology
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
Partner Business Intelligence Analyst
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Big Data Engineering Lead
Big Data Engineering Lead responsible for technical leadership of a Data Foundation platform, building and maintaining enterprise data pipelines, data products, and data services. Core technologies include Python, PySpark, SQL, and ETL/ELT architecture patterns.
Data & Analytics Engineer
A Data & Analytics Engineer builds and maintains data pipelines, ETL processes, dimensional models, and self-service analytics capabilities using cloud platforms like Snowflake and Databricks, focusing on scalable data foundations and governance to enable business decision-making.
Senior Data Engineer (ERP)
Design scalable data models and maintain dbt transformations for enterprise analytics across Finance and Supply Chain. Use SQL and ERP platforms to enable business-critical reporting in a hybrid environment.
Data Engineer with IRS MBI Clearance
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Full Stack Developer
Build and scale a Node.js backend and React frontend for an early-stage SaaS product, applying microservice lessons to clean system design and collaborating closely with founders.