Visa is hiring a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions that power our enterprise data ecosystem. This role offers the chance to create impact at scale by delivering robust data products and insights for internal and external customers.
What You'll Do
- Design, build, and optimize scalable data pipelines for ingesting and processing structured and unstructured data within Hadoop and cloud environments.
- Architect and develop new data pipelines, models, and analytical frameworks that provide intuitive, actionable insights.
- Develop tools, automation, and self-service capabilities to enhance data accessibility and improve analytics efficiency.
- Create repeatable, automated data engineering processes to support business users and reduce manual operational efforts.
- Lead and execute data engineering projects of varying scope and complexity, both independently and on cross-functional teams.
- Partner with engineering, analytics, and product teams to deliver robust, end-to-end data solutions.
- Support the scoping, design, and development of analytic data assets and data products.
- Maintain and enhance data engineering best practices, governance standards, and scalable architectures across Hadoop and cloud platforms.
- Participate in R&D initiatives, infrastructure enhancements, and cross-team technology efforts.
What We're Looking For
- 2 or more years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
Nice to Have
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA).
- Proficient in Hadoop, Spark, PySpark, Scala, and Python for large‑scale data processing.
- Strong SQL skills with experience in performance tuning, indexing, and query optimization.
- Hands-on experience with relational and NoSQL databases, data modeling, and data warehousing.
- Expertise in writing, optimizing, and tuning SQL for high performance and efficient data retrieval.
- Skilled with Presto, Impala, SparkSQL, and Hive for big-data querying.
- Proficient in Tableau and Power BI for analytics and visualization.
- Strong experience with Databricks, including notebook/job optimization, Delta Lake, cluster management, CI/CD, and performance tuning.
- Skilled in AWS, GCP, and Azure for scalable data architectures using cloud-native tools.
- Advanced experience with Apache Spark for batch and near–real-time analytics.
- Experience designing, implementing, and managing relational (RDBMS) and non-relational (NoSQL) databases.
- Proficiency in data modeling and data warehousing methodologies supporting BI and analytics workloads.
Technical Stack
- Hadoop, Spark, PySpark, Scala, Python, SQL
- Presto, Impala, SparkSQL, Hive
- Tableau, Power BI
- Databricks, Delta Lake
- AWS, GCP, Azure
Benefits & Compensation
- Medical, Dental, and Vision coverage
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness Program
- Bonus eligibility
- Equity eligibility
- Compensation range: $110,700 to $171,800 USD per year
Work Mode
This is a hybrid position.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
