Job Url: https://www.glassdoor.com/Job/united-states-python-jobs-SRCH_IL.0,13_IN1_KO14,20.htm?fromAge=3&remoteWorkType=1 Job Description: Aline 3.0 Data Platform Engineer Apply on employer site Remote · $90K - $120K (Employer provided) Apply on employer site Your qualifications for this job Do you have any of these qualifications? SQL Analytics PowerShell Data modeling Show more We are seeking a skilled Data Platform Engineer to join our team and drive the evolution of our data infrastructure, which includes on-premises SQL Server environments, Azure SQL environments, and a modern, cloud-native Microsoft Fabric ecosystem. This role combines database expertise with modern data engineering practices, focusing on building scalable, real-time data pipelines and maintaining high-performance data platforms. You will be instrumental in our data transformation journey, leveraging change data capture technologies, event-driven architectures, and Microsoft's latest data platform offerings to create robust, near-real-time data solutions that power our analytics and business intelligence initiatives. Responsibilities Data Platform Architecture & Management Design, implement, and maintain scalable data infrastructure across on-premises SQL Server and Azure SQL environments Support migration and modernization efforts in collaboration with team members across engineering Contribute to the development of lakehouse solutions using Microsoft Fabric for enterprise-scale data processing Follow established data governance, security, and compliance frameworks across hybrid environments Real-Time Data Integration Build and maintain near-real-time data pipelines using SQL Server Change Data Capture (CDC) and Change Stream features Assist with the integration of CDC technologies such as Debezium with SQL Server for streaming change data capture into Microsoft Fabric and Event Hubs Support event-driven data architectures and integration efforts that support real-time analytics and operational intelligence Optimize data flow patterns for minimal latency and maximum throughput Database Engineering & Optimization Develop high-performance SQL and T-SQL solutions for complex data transformations and business logic Design and implement stored procedures, functions, and database objects following best practices Conduct performance tuning and optimization across SQL Server instances and Azure SQL databases Monitor system performance and proactively identify opportunities for improvement Cloud Data Engineering Build and orchestrate ETL/ELT processes using Azure Data Factory and other Azure integration services Develop serverless data processing solutions using Azure Functions and Logic Apps Support CI/CD practices in collaboration with platform or DevOps teams Manage Azure Data Lake storage and optimize data organization for analytics workloads Collaboration & Documentation Partner with engineering, analytics, and product teams to understand data requirements and deliver solutions Create comprehensive technical documentation for data architectures, processes, and procedures Collaborate with team members to share best practices Participate in technical reviews and collaborate on implementation decisions Qualifications Technical Expertise 4+ years of hands-on experience with Microsoft SQL Server, including database design, development, optimization, and administration Proficiency in SQL Azure environments (Azure SQL Database and Azure SQL Managed Instance), with experience in provisioning, migration, performance tuning, and security implementation Practical experience with Microsoft Fabric (formerly Azure Synapse), particularly in data pipeline development, Lakehouse architecture, and real-time integration scenarios Deep understanding of SQL Server Change Data Capture (CDC) and Change Stream technologies Experience integrating or supporting the use of Debezium with SQL Server for real-time change data capture and streaming to modern data platforms Experience contributing to real-tie or near-real-time data pipelines in production environments Development & Automation Skills Advanced SQL and T-SQL development capabilities for complex data transformations and performance optimization Hands-on experience with ETL/ELT processes using Azure Data Factory or similar enterprise integration tools Proficiency with scripting languages (PowerShell, Python, or Bash) for automation and pipeline orchestration Experience with version control systems and collaborative development practices Cloud & DevOps Proficiency Hands-on experience with Azure cloud data infrastructure including Azure Data Lake, Azure Functions, Logic Apps, and Event Hubs Working knowledge of CI/CD practices for database and data pipeline deployments using Azure DevOps, GitHub Actions, or similar platforms Strong understanding of data governance, access control, security frameworks, and compliance requirements in cloud environments Experience with infrastructure as code and automated deployment practices Professional Skills Proven ability to work independently while collaborating effectively with cross-functional teams including engineering, analytics, and product organizations Strong analytical and troubleshooting skills with demonstrated ability to diagnose and resolve complex performance issues Excellent written and verbal communication skills for technical documentation and stakeholder engagement Preferred Qualifications Experience with additional Azure services such as Azure Synapse Analytics, Azure Stream Analytics, or Power BI Knowledge of data modeling techniques and dimensional modeling principles Familiarity with containerization technologies (Docker, Kubernetes) and microservices architectures Background in agile development methodologies and DevOps practices Relevant Microsoft certifications (Azure Data Engineer, SQL Server, or Fabric certifications) What We Offer Opportunity to contribute to data platform transformation initiatives Collaborative environment with cross-functional teams and modern technology stack Professional development opportunities and support for continuous learning Competitive compensation and a comprehensive benefits package Show less Base pay range The minimum salary is $90K and the max salary is $120K. $90K – $120K/yr (Employer provided) $105K /yr Median Remote If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page. Related community posts See what other Data Platform Engineer are saying Interview Tips 532K members Salary Negotiations 557K members Explore more Bowls Want your application to stand out? Starting conversations can lead to better insights than asking for referrals. Ask for advice Company overview Size 1 to 50 Employees Founded -- Type Company - Private Industry -- Sector -- Revenue Unknown / Non-Applicable Aline ratings 3.0 39 % Recommend to a friend N/A Approve of CEO 0 Ratings Career Opportunities 2.7 Comp & Benefits 2.6 Culture & Values 2.5 Senior Management 2.5 Work/Life Balance 2.9 Aline reviews by platform engineer Pros "I have been able to Work From Home whenever needed even when I was technically full time in office, I have always had easy communication with supervisors and other departments, and the team has always worked well together." (in 1 review) Cons "They laid off the best manager I ever worked for and until they hire some people that can communicate better than the current leadership, I would not recommend working here." (in 2 reviews) "Fostering a culture that encourages understanding and positively addressing customer feedback could greatly enhance service quality and company reputation." (in 1 review) "That said, it's a solid, stable company with potential for growth, reasonable benefits, a great and very 'human' working environment where your needs matter." (in 1 review) "They hire and after a couple of months, they lower your salary." (in 1 review) Aline benefits 4.5