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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Consultant, Data Engineer (Databricks Experience) - **Company:** Infinitive - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $131,300.0 - $237,350.0 - **Contract:** Permanent contract - **Skills:** Third Normal Form, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Data Auditing, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Vault Modeling, DevOps, Document-Oriented Databases, Python (Programming Language), Performance Tuning, SQL Databases, Data Processing, Google Cloud, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Terraform, Data Pipelines, Jenkins, Databricks, Programming Languages - **Published:** July 3, 2026 - **Apply:** https://www.careerjet.com/jobad/us0638862fb9984bfa13168c17b00151a9 ## About the Role * Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. * Proven experience as a Data Engineer, preferably in a cloud-based environment. * Strong proficiency in Databricks for data processing and analytics. * Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation. * In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault. * Proficiency in SQL and programming languages such as Python or Scala. * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Excellent problem-solving skills and attention to detail. * Strong communication and collaboration skills. ## Description We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency., Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team. ## 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) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [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) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)