> Markdown version of [/jobs/ext/4512193-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4512193-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Inizio Partners Corp - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $125,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Big Data, Cluster Analysis, Code Review, Computer Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Data Transformation, Data Warehousing, DevOps, Dimensional Modeling, Jinja (Template Engine), Python (Programming Language), Systems Development Life Cycle, Requirements Management, Software Construction, SQL Databases, Software Technical Review, AWS Cdk, Macros, Delivery Pipeline, Change Data Capture, Build Management, Pyspark, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Management, Software Version Control, Data Pipelines, Sql Tuning, Amazon Redshift - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-ny--dee85068-a9d2-4754-b900-c0dd2c4ab51d ## About the Role SQL (Structured Query Language), Data Management, Scalable System Development, Data Warehousing, Cross-Functional, Data Modeling, Dimensional Modeling, Requirements Management, Data Science, Business Intelligence, * Bachelors or Masters (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent * 5+ years of experience in data engineering and analytics on modern data platforms * 3+ years extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros * Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models * Understand change data capture concepts * Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift) * Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD * Python proficiency or general knowledge of Jinja templating in Python and/or PySpark * Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer * A great teammate and self-starter, strong detail orientation is critical in this role. ## Description * Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating * Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift * Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth * Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers * Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation * Ensure data quality, governance alignment, and operational readiness of data pipelines * Apply software engineering best practices such as version control, CI/CD, and code reviews * Optimize SQL queries for performance, scalability, and maintainability across large datasets * Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views * Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools * Support Agile development processes and collaborate with offshore teams