Data Engineer

We are seeking a Data Engineer to design, build, and maintain scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role is responsible for developing and optimizing data pipelines, integrating data from multiple sources, ensuring data quality, and delivering trusted datasets that empower data-driven decision-making across the organization. The ideal candidate has hands-on experience building end-to-end data solutions, strong SQL and ETL expertise, and a passion for transforming complex data into valuable business assets.

Data Engineering & Development

• Design, develop, test, and maintain automated data pipelines to ingest, cleanse, transform, and load data from a variety of internal and external sources
• Build and support enterprise data platforms, including data warehouses, data marts, semantic models, and curated datasets
• Develop processes that establish a single source of truth through data integration and master data management practices
• Implement data quality controls, monitoring, validation routines, and alerting mechanisms to ensure data reliability and integrity
• Model and publish datasets for reporting, analytics, and self-service business intelligence initiatives
• Optimize ETL/ELT processes for performance, scalability, and maintainability
• Follow established software development lifecycle (SDLC) practices, coding standards, and documentation requirements

Support & Operations

• Troubleshoot and resolve data pipeline failures, data discrepancies, and performance issue
• Perform root cause analysis and implement preventative solutions to reduce recurring incidents
• Participate in on-call support rotations and provide timely resolution of production issues
• Maintain accurate documentation of technical designs, support procedures, and issue resolution activities.

Collaboration & Continuous Improvement

• Partner with business stakeholders, analysts, architects, and development teams to understand data requirements and deliver scalable solutions.
• Mentor junior team members through knowledge sharing, code reviews, and technical guidance.
• Evaluate emerging technologies and recommend enhancements to improve data architecture and engineering practices.
• Communicate project status, risks, and progress effectively with leadership and cross-functional teams.

Required Qualifications

• Education bachelor's degree in computer science, Information Systems, Data Analytics, Mathematics, Engineering, or a related technical field.
• Equivalent combinations of education and relevant experience may be considered.
• Experience 3–5 years of professional experience designing, developing, and supporting enterprise data solutions.
• Experience building and maintaining ETL/ELT processes in a production environment.
• Experience working with relational databases and large datasets.

Required Technical

• Skills Advanced SQL and T-SQL development skills.
• Experience with ETL/ELT development tools and frameworks.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Experience with data integration, transformation, and data profiling techniques.
• Hands-on experience with business intelligence and semantic modeling tools such as Power BI or SSAS.
• Experience with at least one programming language used in data engineering, such as C#, Python, or similar.
• Understanding of SDLC methodologies, source control, testing, and deployment practices.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent communication, organization, and time-management skills.

Preferred Qualifications

• 5 years of experience in enterprise data engineering environments.
• Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Experience with data governance, metadata management, and Master Data Management (MDM) initiatives.
• Familiarity with orchestration and automation tools.
• Experience supporting reporting and analytics initiatives in large organizations.