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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics or Analytics Engineering or Data Engineering - **Company:** Intone Networks - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Warehousing, Debian Linux, Linux, DevOps, Apache Hadoop, Apache Hive, Python (Programming Language), Performance Tuning, Scrum Methodology, Red Hat Enterprise Linux, Power BI, SQL Databases, Sqoop, Tableau (Software), Workflow Management Systems, Software Organization, Scripting, Google Cloud, Sql Optimization, Snowflake, Apache Spark, Sap Business Objects, Git, Information Technology, Data Analytics, Qlikview, Apache Kafka, Data Pipelines - **Published:** August 30, 2026 - **Apply:** https://www.dice.com/job-detail/6da75b11-ec96-4bbc-b79f-4d9f25a055fc ## About the Role * 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering. * Advanced SQL skills, including complex transformations and performance tuning. * Strong Data Warehousing and Dimensional Data Modeling experience. * Experience designing and maintaining Fact and Dimension tables. * Hands-on experience with Snowflake. * Experience developing analytics models using dbt. * Experience with data quality testing and validation. * Experience with Git, code reviews, and CI/CD. * Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects. * Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop. * Experience building and consuming APIs. * Linux experience (RHEL/Debian). * Scripting experience using Python, Bash, or similar languages. * Strong analytical and problem-solving skills. * Experience working in Agile environments. Preferred Experience * 8+ years in data and analytics. * Experience with Cloud platforms (AWS, Azure, or Google Cloud Platform). * Experience with Apache Airflow or similar orchestration tools. * Experience supporting BI migrations to Power BI. * Experience with semantic models and analytics engineering best practices. * Education Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field preferred. Equivalent professional experience will be considered. Must-Have Keywords SQL, Snowflake, dbt, Dimensional Data Modeling, Fact Tables, Dimension Tables, Power BI ## Description The Analytics Engineer develops and maintains scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI. This role partners with business stakeholders, analysts, data scientists, and engineers to deliver high-quality data products and ensure data quality, performance, and reliability., * Design and maintain dimensional data models and curated datasets. * Develop automated, scalable ELT pipelines. * Implement data quality monitoring, testing, and automation. * Partner with business users, analysts, and data scientists to deliver analytics solutions. * Support BI platforms, reporting, and dashboard migrations. * Use software development best practices including Git, code reviews, and CI/CD. * Collaborate with Data Engineering, DevOps, and Architecture teams. * Participate in Agile/Scrum ceremonies and production support. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)