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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hiring: Analytics Engineer II / Data Engineer - **Company:** Bridgetown Consulting Group - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Contract:** Permanent 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, 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, Tools for Reporting, Data Pipelines - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/bbfc4c2b-b7fc-42ff-a3e4-3a82a6f066dc ## About the Role * 6+ years of experience in Data Analytics, Analytics Engineering, BI, or Data Engineering. * Advanced SQL skills, including complex transformations and performance tuning. * Strong experience with Data Warehousing and Dimensional Data Modeling. * Hands-on experience designing and maintaining Fact and Dimension tables. * Strong 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, preferably RHEL/Debian. * Scripting experience using Python, Bash, or similar languages. * Strong analytical, troubleshooting, and problem-solving skills. * Experience working in Agile environments., * 8+ years of experience in data and analytics. * Experience with cloud platforms such as 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 modern analytics engineering best practices. Education Bachelor s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field is preferred. Equivalent professional experience will also be considered. Must-Have Skills SQL | Snowflake | dbt | Dimensional Data Modeling | Fact Tables | Dimension Tables | Power BI ## Description The Analytics Engineer II will develop and maintain scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI. This role will collaborate closely with business stakeholders, analysts, data scientists, and data engineers to deliver high-quality data products while ensuring data quality, performance, scalability, and reliability., * Design, develop, and maintain dimensional data models and curated datasets. * Develop automated and scalable ELT pipelines. * Build and maintain Fact and Dimension tables. * Implement data quality monitoring, testing, validation, and automation. * Partner with business stakeholders, analysts, and data scientists to deliver analytics solutions. * Support BI platforms, reporting solutions, and dashboard migrations. * Follow 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 activities. * Optimize SQL queries and data models for performance and scalability. ## 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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [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) - [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) ## Related Articles - [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) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)