Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data driven solutions across the lifecycle of learning. Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more. Ascend Learning leads the way in innovation and solution creation to improve outcomes and deliver results for students, educators, and healthcare workers in the ever-changing field of healthcare. We offer advanced resources that drive nursing success, empower front-line certified allied health workers, help physicians pass boards and stay current, and provide education management tools for medical education programs. WHAT YOU'LL DO As a Senior Data Engineer you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will play a critical role in enabling data-driven decision-making by ensuring the availability, integrity, and performance of our data systems. You will work closely with data scientists, analysts, and other stakeholders to support advanced analytics initiatives and contribute to our overall data strategy. WHERE YOU’LL WORK • This position will work a hybrid schedule from our Burlington, MA or Leawood, KS office location. Remote candidates will be considered within the United States. HOW YOU’LL SPEND YOUR TIME • Design and implement data models, schemas, and structures in SQL Server, Snowflake, and other technologies to support efficient data storage and retrieval. • Implement and maintain enterprise data warehouse methodologies to ensure data quality and consistency across the organization. • Design, develop, and maintain scalable data pipelines using SQL Server, Kafka, Azure Data Factory, Snowflake, and other relevant technologies. • Collaborate with business intelligence, data scientists, analysts, and other stakeholders to understand their data requirements, translate them into technical solutions, and deliver data solutions that meet business needs. • Work with the data architecture team to design and implement scalable and performant data solutions. • Monitor and troubleshoot data pipelines and databases to ensure data availability, and resolve any issues or bottlenecks. • Establish and enforce data governance policies to ensure compliance with data privacy regulations and company standards. • Enhance data visibility and observability across the organization by implementing monitoring, logging, and alerting systems to proactively identify and address data-related issues. • Stay up-to-date with emerging technologies and industry trends to drive innovation within the data team. • Mentor junior data engineers and promote best practices in data engineering and management. WHAT YOU'LL NEED • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field preferred. Equivalent work experience required. • Minimum of 6 years of experience in a data engineering role with a strong focus on data warehousing and ETL processes. • Proficient with SQL Server, MYSQL and Snowflake, including designing and implementing data models, writing SQL queries, and optimizing performance. • Proficient in ETL tools like ADF, SSIS, Kafka Messaging data integration and transformation. • Strong experience with real-time data processing and streaming technologies such as Kafka. • Solid understanding of data warehouse methodologies and best practices, data modeling, and database design principles. • Knowledge of programming languages such as Python or Java for scripting and automation. • Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and experience in deploying and managing data solutions on these platforms. • Understanding of data governance, data security, and compliance regulations. • Strong problem-solving and analytical skills, with the ability to identify and resolve data engineering issues. • Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. • Familiarity with RESTful API development and integration. • Experience with additional programming languages (e.g., Python, Java, Scala). • Experience with data visualization tools and BI platforms. • Knowledge of machine learning and advanced analytics techniques. • Certifications in relevant technologies (e.g., Microsoft Azure, Snowflake). BENEFITS • Flexible and generous paid time off • Competitive medical, dental, vision and life insurance • 401(k) employer matching program • Parental leave • Wellness resources • Charitable matching program • Hybrid work • On-site workout facilities (Leawood, Gilbert, Burlington) • Community outreach groups • Tuition reimbursement Fostering A Sense of Belonging We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued and be their authentic selves. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.

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