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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** DR KHER DR - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $160,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Microsoft Access, Airflow, Amazon Web Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Elasticsearch, Graph Database, Python (Programming Language), Neo4j, Standard Sql, Unstructured Data, Flask (Web Framework), Snowflake, Spring-boot, Data Strategy, Fastapi, Pandas, Data Lakes, Pyspark, Information Technology, AWS Glue, Apache Kafka, Build Tools, Api Design, Data Pipelines, GXP, Docker, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/d897de47-3de3-4a62-9c78-80a1b35cc27e/senior-data-engineer ## About the Role * 6+ years of experience in software or data engineering and a BS/MS in Computer Science, Engineering, or a related field preferred. * Experience in Python, Pandas, PySpark, and Notebooks. * SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. * Experience setting up infrastructure and using data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. * Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container-based deployment experience using Docker and Kubernetes. * Experience taking a project from inception and design to production. * Strong verbal and written communication skills. NICE TO HAVE: * Experience working with or data modeling for graph databases like Neo4J, Neptune, etc. * API experience using FastAPI, Flask, Spring Boot or equivalent. * Understanding of Elasticsearch data and query modeling. * Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk. ## Description * Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks. * Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake. * Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake. * Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems. * Interact and develop with internal and external APIs. * Work with product and business teams to define novel and critical metrics for the business. * Follow good engineering practices like documentation, diagrams, and unit/validation tests * Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build., Reporting to the Associate Director of Data Engineering, this role is critical to driving the evolution of the data infrastructure that underpins our intelligence platform. In this senior engineering role, you will help lead in the design and implementation of scalable systems and resilient ETL pipelines that support a suite of analytic products. You'll contribute to the architecture, tooling, and best practices that ensure structured and unstructured data is ingested, transformed, and delivered reliably, securely, and at scale. This position is ideal for an experienced data engineer who thrives on solving foundational engineering challenges, shaping data strategy and infrastructure, and mentoring engineers in building systems that are precise, performant, and built for the future. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [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 Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)