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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Data Engineer - **Company:** Ctec Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Big Data, Information Systems, Databases, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Security, Data Systems, DevOps, Distributed Computing Environment, Distributed Data Store, Interoperability, Python (Programming Language), Meta-Data Management, Systems Development Life Cycle, Power BI, Azure Data Lake, SQL Databases, Data Processing, Cloud Platform System, Azure Data Factory, Apache Spark, Data Layers, Data Lakes, Pyspark, Information Technology, Data Management, Tools for Reporting, Software Version Control, Data Pipelines, Legacy Systems, Databricks - **Published:** June 24, 2026 - **Apply:** https://www.dice.com/job-detail/480ab7f4-5416-42f9-9b3f-5eac3dd8db29 ## About the Role * Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments. * Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments. * Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing. * Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. * Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics. * Familiarity with Spark-based big data processing frameworks. * Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms. * Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI. * Familiarity with data governance, metadata management, and data security best practices. * Experience with source control and CI/CD pipelines for data engineering and Databricks workflows. * Working knowledge of SDLC and Agile delivery methodologies. * Excellent organizational, communication, and collaboration skills. Preferred: * Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration. * Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services. * Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives. * Familiarity with healthcare, insurance, or benefits administration data environments. * Experience implementing data governance or data catalog platforms. Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree., If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including ## Description * Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms. * Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. * Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping. * Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs. * Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments. * Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains. * Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards. * Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements. * DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments. * Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions. * Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues. * Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement. * Works under minimal supervision with minor guidance from senior personnel. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)