Senior Data Engineer - Periscope

Locations Atlanta Boston Dallas New Jersey Your Impact You will be a core member of Periscope’s technology team with responsibilities that range from developing and deploying our core enterprise products to ensuring that McKinsey’s craft and expertise remain on the leading edge of technology. In this role you will design, develop, and maintain scalable data pipelines and systems using Databricks on Azure (among other environments). You will implement and optimize ETL processes with a focus on performance, cost-efficiency, and reliability. You will utilize advanced Databricks technologies (DLT, Unity Catalog, Delta Sharing, SQL Warehouse) to enhance data management and sharing capabilities. You will be leading and executing data engineering projects from inception to completion, ensuring timely delivery and high quality while you continuously monitor, troubleshoot, and improve data pipelines and workflows to ensure optimal performance and cost-effectiveness. You will collaborate with cross-functional teams to understand data needs and deliver solutions that meet business requirements, mentor, and educate junior engineers on best practices, emerging technologies, and efficient data engineering techniques. You will also work with client-facing teams to help solve and deploy client-specific solutions that integrate into the client’s internal systems. Your Growth Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Qualifications and Skills Bachelor’s or master’s degree in computer science, engineering or a related field 6+ years of experience in data engineering, with a strong background in big data technologies Proficiency in Databricks on Azure, Spark, Python, and Spark SQL Extensive experience with Delta Live Tables, Unity Catalog, Delta Sharing, and SQL Warehouse (server and serverless) Experience in handling large data volumes and orchestrating automated ETL using Azure Data Factory, Airflow / data pipelines using CI/CD and Cloud Technologies Development efficiency leveraging AI framework technologies Demonstrated ability to optimize performance and cost in large-scale data environments Proven track record of leading projects independently and mentoring junior team members Experience with cloud platforms, particularly Azure, and a solid understanding of cloud-native architectures Experience adopting software development best practices (e.g., modularization, testing, refactoring, etc.) Experience with data governance, security, and compliance in a cloud environment Familiarity in understanding BI framework Equal Opportunity Statement and Salary FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $195,300 - $199,200 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest salary/hourly wages for this role at the time of this posting, ensuring you have a clear picture right from the start, though it’s important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey’s discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. #J-18808-Ljbffr