Cloud Data Engineer

Designs, builds, and manages cloud-based data systems, including pipelines, data lakes, warehouses, lakehouses, databases, and ETL processes. Develops optimized Python and SQL queries, improves workflow performance, and supports data movement between on-premises and cloud environments. Collaborates with leadership, analysts, research teams, and other departments to define requirements and reporting needs. Applies data governance, access controls, security, compliance, troubleshooting, and system support practices., The Sr. Cloud Engineer is responsible for the design and management of cloud-based systems on behalf of BMC. This role collaborates with cross-functional teams to identify appropriate solutions, implement system modifications, and ensure alignment with organizational needs and objectives. The position designs, implements, and manages cloud-based data solutions, including the movement of data between on-premises and cloud environments. It is responsible for optimizing data storage and ensuring data security and compliance within established standards and requirements. The role operates with limited supervision and contributes to the reliability, scalability, and performance of cloud systems that support data-driven business operations across the organization., * Builds data pipelines and scalable data processing systems in cloud environments.

• Designs, constructs, and tests data lakes, data warehouses, data lake houses, and databases.
• Designs and implements data pipelines using cloud-native tools and services.
• Develops ETL (Extract, Transform, Load) processes for data ingestion and transformation.
• Writes and optimizes SQL and Python queries for data retrieval and analysis.
• Optimizes data workflows to improve performance and efficiency.
• Collaborates with leadership, analysts, Research, and cross-functional teams to define data requirements and reporting needs across departments.
• Implements data solutions aligned with business and technical requirements; applies data governance, access controls, security, and compliance standards; and provides system troubleshooting and support.

(The above statements in this job description are intended to depict the general nature and level of work assigned to the employee(s) in this job. The above is not intended to represent an exhaustive list of accountable duties and responsibilities required)

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum of Five (5) or more years of experience in data engineering or related roles, or an equivalent combination of education and experience.

PREFERRED EDUCATION AND EXPERIENCE (If none, please enter “N/A”):

• Master’s degree in Computer Science, Information Technology, or a related field

CERTIFICATIONS, LICENSES, REGISTRATIONS PREFERRED (If none, please enter “N/A”):

• Epic Clarity and Caboodle Data Models, Microsoft Fabric or Amazon S3 and Redshift

KNOWLEDGE, SKILLS & ABILITIES (KSAs) (If none, please enter “N/A”):

• Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
• Knowledge of data warehousing and big data technologies (e.g., Hadoop, Spark).
• Understanding of data modeling and database design principles.
• Ability to design and document end-to-end processes, including steps, dependencies, systems of record, and roles of involved parties.
• Strong analytical, oral, and written communication skills, with the ability to interact across all levels of the organization.
• Proficiency in Microsoft Office products.
• Strong attention to detail, with excellent proofreading and editing skills.
• Proficiency in programming languages such as Python, SQL, or Java.

$89,500.00- $130,000.00

This range offers an estimate based on the minimum job qualifications. However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer. This includes education, experience, skills, and certifications/licensures as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, BMCHS offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family well-being.