Sr Data Engineer, AI

Who We Are

As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes.

Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things. Join us in meeting the country's energy needs today and tomorrow.

Total Rewards

Constellation offers an extensive selection of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and a wide-range of benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, eligible employees are offered a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including robust wellbeing programs; disability and life insurance benefits; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $145,800 to $162,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).

Primary Purpose of Position

Lead activities relating to designing, building, testing, implementing and maintaining AI solutions, products and processes. Provide IT teams and business personnel with technology solutions by evaluating technology standards, market availability of products, risks and benefits of technology to deliver solutions that meet business/IT needs. Coordinate the tasks of less experienced engineers and collaborate across teams as needed. Independence level: Works independently with minimal guidance. Works closely with scrum masters, project managers, QA, Creative, and UX team members to ensure compliance with project needs. Your role will be centered on the development and improvement of new and existing features. Additionally, you will be reviewing the code of your peers, advocating for standard development methodologies, and participating in an inclusive, energetic and highly cross-functional team. The role encompasses architect, design, implementation, and testing to ensure building products right and to release them with high quality. Maintain deep knowledge of technology and its application across our business areas or for our customers, promote knowledge via seminars, presentations and publications within IT and Constellation. Participate in technological innovation to drive new business opportunities and solve complex business problems. Shape and advance core team processes to increase operational efficiency and quality. Coach and lead other engineers assigned to their product or project team.  Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.

Primary Duties and Accountabilities

• Produce high-quality, secure, and maintainable code/configurations
• Learn and understand business processes with limited guidance
• Work collaboratively as a member of the development team to build solutions in an agile environment
• Support and research issues across all application layers and database
• Identify areas to improve and scale our Azure architecture and design
• Ensure code can be deployed using Azure DevOps
• Design and query database tables, views, functions, stored procedures and batch processes
• Develop, implement, and support interfaces that connect our websites, back-end systems, and various 3rd party cloud solutions, vendors and customers.
• Engage with business partners to gather information, analyze requirements and deliver practical, efficient and cost-effective solutions that satisfy business needs.
• Design, develop and/or review complex code or configurations to ensure AI solutions meet the requirements of functional and technical specifications.
• Write product specifications and design documentation for assigned system components.
• Design and build large-scale AI data platforms/products & frameworks for processing high volumes of data, in real-time as well as batch, that will be used by teams across the organization
• Develop complex data algorithms for AI/ML, data analytics, machine learning, or scientific computing
• Utilize indicators to scope and respond proactively to emerging threats
• Lead team members and provide oversight for less experienced engineers; Stay on top of the latest technologies and trends.
• Support development of version control principles (e.g. Git and working within an agile environment)
• Enhance knowledge of and compliance with preferred technologies, methodologies, standards and policies.
• Assist in the development of white papers, conducting presentations as needed to explain why a technology is being recommended by IT.
• Maintain technical knowledge and business acumen within own discipline or function.
• Provide IT teams and business personnel with technology solutions by weighing advantages of technology trends, market availability of products, risks and benefits of technology to meet business/IT needs.
• Strong debugging and problem-solving skills; lead peer code reviews.

Minimum Qualifications

• Bachelor's degree in Accounting with 5-years experience, in lieu of degree 9-years experience
• Experience with private and public cloud architectures, pros/cons, and migration considerations
• 5-years of RDBMS experience
• Experience with JSON, JSON-LD, XML data structures
• Experience implementing data pipelines using latest technologies and techniques
• Experience with Azure DevOps, Copado, GitHub, Heroku, ServiceNow or similar tools
• 3-years of hands-on experience in programming languages such as Java 8, c#, node.js, python, SQL, Unix shell/Perl scripting
• 5-years of industry experience data engineer, with involvement in the data component of the AI/ML lifecycle, and a solid understanding of applied machine learning topics
• 3-years of consulting or client service delivery experience on Azure
• Experience handling Structured and unstructured datasets
• Strong t-SQL skills with experience in Azure SQL DW
• Experience in data modeling and advanced SQL techniques
• Cloud migration methodologies and processes with tools like Azure Data Factory, Event Hub, etc.
• Analytical skills, attention to detail, critical thinking, problem solving and independent decision making
• Knowledge of ETL tools
• Experience with cloud-native Azure technologies like Azure Functions, Event Grids, Service Bus Queues, Cosmos DB, Azure Data Factory, or related is a plus
• Experience designing integration applications, both upstream and downstream applications
• Experience with git, Azure DevOps, build pipelines, code branching/merging, code management
• Experience writing technical reports and procedures
• Knowledge of Event driven architecture

Preferred Qualifications

• Advanced hands-on experience with Databricks and Spark (PySpark preferred) for building and optimizing workflows and pipelines.
• Hands-on proficiency in designing, building, and maintaining ETL/ELT pipelines using Python, PySpark, and related tools.
• Strong SQL skills and experience with data warehousing.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including cloud-native data tools.
• Expertise in big data systems and integrating data from diverse sources such as APIs, flat files, and databases.
• Experience configuring secure external data connections (e.g., Azure Data Lake Storage, On-prem SQL Server) using:
  • Service Principals
  • SAS Tokens
  • OAuth
  • Mounting techniques

• Strong understanding of:
  • Data security
  • Encryption
  • Compliance standards
• Experience implementing data governance frameworks to ensure and manage data quality.
• Proven expertise with Azure Data Factory (ADF) for orchestrating and automating data workflows across cloud and on-premises environments.