Sr. Data Engineer – Analytics Engineering

Sr. Data Engineer – Analytics Engineering

Requirements

• Bachelor’s degree in a related field (Computer Science, Engineering, etc.)
• 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
• 5+ years of experience in data cleansing, governance, and quality/integrity
• 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
• 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform, and loads, and statistical/regression analysis
• Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
• Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
• Experience building data alerting and notifications (e.g. on deviations, thresholds, etc.)
• Experience building and managing tools for data observability and documentation (e.g. DataLab)
• Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
• Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes)
• Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
• Exceptional problem-solving skills and a track record of designing and optimizing data pipelines
• Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders

Responsibilities

• Expert at building unified data technologies to support advanced and automated business analytics
• Design, develop, document, and maintain database and reporting structures used to compile insights
• Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
• Consistently evolve data processes and techniques following industry best practices
• Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
• Contribute to the ongoing improvement of quality assurance standards and procedures
• Mentor and guide less experienced data engineers, contributing to their professional development
• Stay updated with the latest data engineering technologies and trends and share your insights with the team
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Preferred Qualifications

• Experience working with enterprise technologies (CRM, Enterprise Resource Planning, Marketing Automation Platforms, Financial Systems, etc.) is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily