I've found several Jr. Cloud Data Engineer positions in Richmond, VA, emphasizing data engineering skills, AWS experience, and offering telework options. The salary for these roles is generally up to $75,000. You can review the available positions now.

Sure. Here's the analysis:

Job Analysis:

The role of Jr. Cloud Data Engineer at the Department of Behavioral Health and Developmental Services (DBHDS) focuses fundamentally on enhancing data integrity and governance within a mission-driven IT environment. By building and maintaining cloud-native data pipelines and supporting data-centric decision-making across various business units, the successful candidate will play a pivotal role in shaping how the agency utilizes and manages its data. The responsibilities highlight the importance of hands-on learning, collaboration, and application of best practices in data management, suggesting that the candidate will encounter challenges such as ensuring data quality amidst a diverse range of data sources and developing robust data governance processes. Success in this role will be measured by the candidate's ability to contribute to and improve the agency's data processes, ensuring they align with broader organizational goals, particularly in supporting individuals with mental illness or developmental disabilities.

Company Analysis:

The Department of Behavioral Health and Developmental Services occupies a critical space within the public health sector, focusing on promoting dignity and recovery for individuals facing mental health challenges. As a state agency operating a network of facilities and partnerships, the DBHDS is positioned as a mission-oriented organization that prioritizes community impact over profit. The company culture is likely characterized by a commitment to collaboration, inclusiveness, and continuous improvement, reflecting the mission-driven nature of its work. In this context, the Junior Cloud Data Engineer will not only be an individual contributor but part of a larger team focused on data solutions that support meaningful outcomes. This role aligns with the agency's strategic goals by promoting data-driven decision-making, which is crucial for enhancing service delivery and optimizing operations. Therefore, candidates should be prepared for an environment that values innovation in data practices while maintaining a strong focus on mission fulfillment and accountability.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to troubleshoot a data-related issue. What steps did you take to identify the problem and resolve it?
• Can you describe an experience where you had to work collaboratively with different teams to achieve a common goal? How did you handle any conflicts that arose?
• Have you ever had to manipulate data using programming? Could you explain the process you used and the outcome?
• How do you prioritize data quality in your work? Can you provide an example from your previous experiences?
• What tools or techniques have you used in the past for data governance, and how did they contribute to the overall data management strategy?
• What experience do you have with cloud platforms like AWS, and how have you applied this knowledge in your previous roles?
• Imagine you are faced with a data pipeline that is underperforming. What steps would you take to assess and improve its functionality?
• Suppose you are tasked with improving data visualization for stakeholders who are not data-savvy. How would you approach this to ensure clarity?
• Why are you interested in working at the Department of Behavioral Health and Developmental Services specifically?
• How do your personal values align with the mission of DBHDS to enhance the lives of those with behavioral health needs?
• What interests you the most about the role of a Jr. Cloud Data Engineer within a public health organization?
• What do you think is the biggest challenge in managing data in the behavioral health sector, and how would you address it?
• What new skills or tools are you currently exploring to stay ahead in cloud data engineering, and how might they benefit our team?
• How do you see this role supporting the broader mission of DBHDS, and what impact do you hope to make?
• What questions do you have for us about the challenges the department is currently facing in data management?