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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Concertai LLC - **Location:** Plymouth Meeting, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Code Review, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Amazon DynamoDB, Apache Hadoop, Python (Programming Language), PostgreSQL, Microsoft SQL Server, NoSQL, Software Engineering, SQL Databases, Privacy Controls, Snowflake, Data Lakes, Pyspark, Information Technology, Data Management, Data Pipelines, Amazon Redshift, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=46a6962bac387525 ## About the Role * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * 5-7+ yrs. experience in data engineering roles. * 5+ years of experience in DWH/ETL Domain using cloud MPP data platforms such as Databricks, Redshift, Delta Lake, Snowflake, Hadoop. * Proficiency in PySpark/Python/SQL and designing data models and data standards. * Deep understanding of ETL/ELT processes, data warehousing concepts, and big data technologies. * Experience building & managing data pipelines using tools like Glue, Airflow, AWS Step Functions, or similar. * Experience in RDMS & No-SQL databases: SQL Server databases, PostgreSQL, DynamoDB, or Aurora. * Experience in dimensional modeling & schema design; Star and Snowflake model * Proven ability to lead & mentor data engineers towards innovative and disciplined environment. * Strong problem-solving skills, with a process/methodical approach to resolve technical challenges and risks * Excellent analytical, verbal and communication skills for stakeholder and team management. * Experience with healthcare data is a big plus. * Experience writing Claude code and agentic pipelines is a plus ## Description We are seeking a motivated Senior Data Engineer to work within our Commercials Solution team. In this role, you will be responsible for ensuring that all projects meet the technical & business requirements and accelerate towards on-time completion. You will work closely with technical teams and cross-functional teams, including product development, design, and operations in US and India. As a Senior Data Engineer, your role will be primarily hands-on data technical implementations with blend of technical mentorship. You will play a crucial role in developing data pipelines and delivering quality data engineering implementations per business requirements. Responsibilities * Demonstrate deep technical understanding of product design/ Architecture with hands-on development capability * Initiate/Incubate/execute PoCs to validate the use cases targeting enhanced ETL/DWH engineering solutions. * Design, build, and maintain reliable and scalable data pipelines and architecture, including data warehouses and data lakes. * Implement data quality checks, validation, and security protocols. * Initiate and drive cost optimization programs leverage design & Infra enhancements. * Implement best practices for data engineering, ETL, and DWH development in AWS cloud environment * Conduct code reviews; Coach team members on coding practices and drive adherence to coding standards. * Collaborate with cross-functional teams to finalize project requirements, timelines, and deliverables. * Monitor project progress, identify risks, and ensure on-time delivery of data engineering projects. * Optimize data models for performance and scalability; leverage latest AWS services to supplement scalable and configurable DWH architectures * Ensure project implementations/ solutions in compliant to security and privacy standards per HIPAA guidelines. * Stay abreast with the latest trends in data engineering and AWS technologies; Continuously evaluate tools and services to improve data engineering outcomes. * Proactively identify & resolve issues relating to people, product, tech, and processes. ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026)