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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Initiate Government Solutions - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Distributed Computing Environment, Python (Programming Language), Cloud Services, SQL Databases, Cloud Platform System, Data Ingestion, Azure Data Factory, Infrastructure as Code (IaC), Git, Pyspark, Data Lineage, Deployment Automation, Apache Kafka, Stream Processing, Software Version Control, Data Pipelines, Devsecops, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/fb951263-13ec-4b5d-92a1-31418a1ff460/data-engineer ## About the Role * 5+ years of experience developing enterprise data engineering solutions. * Hands-on experience with: Azure Data Factory (ADF),Azure Databricks, Apache Kafka, Python and/or PySpark, SQL and relational database technologies, Azure cloud services. * Experience building and maintaining large-scale ETL/ELT pipelines. * Strong understanding of data warehousing, Lakehouse architecture, and distributed data processing. * Experience implementing data quality, monitoring, and operational support processes. * Experience working with source control tools such as Git and Azure DevOps. * Strong knowledge of Agile software development methodologies. * Ability to obtain and maintain a Public Trust * Ability to work in the United States without sponsorship, * Azure Data Engineer Associate Certification or equivalent cloud certification highly desired * Strong analytical, troubleshooting, and problem-solving skills. * Excellent verbal and written communication skills. * Ability to work independently and collaboratively within cross-functional Agile teams. * Experience supporting large-scale cloud modernization and digital transformation initiatives. * Active Public Trust, * Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers. * Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers' matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers' and end-users' business drivers and challenges to ensure solutions meet not only technical needs but also support their mission. * Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done. * Life-Long Learner (Curious, Perspective, Goal Oriented): We challenge ourselves to continually learn and improve ourselves. We strive to be an expert in our field, continuously honing our craft, and finding solutions where others see problems. ## Description This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested., The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, ingestion frameworks, and cloud-native data solutions that support advanced analytics, reporting, AI/ML initiatives, and operational decision-making. The ideal candidate will possess hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Apache Kafka, along with expertise in modern data engineering methodologies, DevSecOps practices, and cloud-based data platforms., * Design, develop, and maintain enterprise-scale data ingestion and transformation pipelines using Azure Data Factory, Databricks, and Apache Kafka. * Build and optimize ELT/ETL processes for data sources. * Develop scalable data solutions supporting analytics, reporting, AI/ML, and operational business use cases. * Implement data ingestion frameworks for batch, streaming, and real-time data processing workloads. * Design and maintain data models, semantic layers, conformed dimensions, and consumption-ready datasets. * Support the modernization and migration of enterprise data assets into cloud-based Lakehouse architectures. * Develop and optimize data solutions leveraging Azure cloud services and distributed data processing frameworks. * Integrate data assets across enterprise systems while maintaining data lineage and governance standards. * Implement automated data quality validation, reconciliation, and monitoring processes. * Establish data freshness, accuracy, and completeness controls aligned with platform governance requirements. * Develop Infrastructure as Code (IaC) and automated deployment pipelines for data engineering solutions. * Implement CI/CD processes for data pipelines and platform services. * Other duties as assigned ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [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) - [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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [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) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)