515 IT & Software Developer jobs in the US
Senior Data Scientist, Sustainable Tech
$115,000 - 184,000
Mastercard
Mastercard Boulevard 2200, O'Fallon
$115,000 - 184,000
Requirements
Must:
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- A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- Proven experience as a Data Engineer/Scientist or in a comparable role.
- Comprehensive understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management.
- Proficiency in designing and building data tools, technologies, and processes.
- Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
- Strong command of data integration techniques and data quality management.
- Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc.
- Familiarity with cloud platforms and services, including AWS, GCP, or Azure.
- Exceptional problem-solving capabilities and the ability to provide innovative data solutions.
- Strong leadership qualities with a history of guiding and mentoring a team.
- A minimum of 3 years of experience in the relevant field.
- 3 years of experience delivering secure solutions in the Financial Services sector is preferred.
- A broad understanding of Software Engineering Concepts and Methodologies.
- Demonstration of Mastercard’s Core Competencies.
###
Responsibilities
- I will design, develop, and maintain new data capabilities and infrastructure for our Sustainable Technology Internal Data Lake.
- I will create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within both on-premise and cloud environments.
- I will identify existing gaps or opportunities in data capabilities and infrastructure across initiatives, providing subject matter expertise to address them.
- I will work closely with technical teams and business stakeholders to grasp data requirements and translate them into technical solutions.
- I will manage large datasets, ensuring data quality, accuracy, and performance.
- I will implement data transformation, integration, and validation processes to support analytics, BI, and reporting needs.
- I will optimize and enhance data pipelines for improved speed, reliability, and efficiency.
- I will adopt best practices for data storage, retrieval, and archival to ensure data accessibility and security.
- I will troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
- I will document data processes, data lineage, and technical specifications for future reference.
- I will take part in code reviews to ensure adherence to coding standards and best practices.
- I will collaborate with DevOps teams to automate the deployment and monitoring of data pipelines.
- I will undertake additional tasks as required.
###
Description
Here at Mastercard, we aspire to power economies and empower individuals across 200 countries and territories globally. Together with our clients, we are constructing a sustainable economy where all can thrive. We provide a broad array of digital payment options, making transactions secure, straightforward, smart, and within reach. Our technology, innovation, partnerships, and networks come together to offer a distinctive assortment of products and services that enable individuals, businesses, and governments to achieve their fullest potential. Mastercard is proud to be a merit-based, inclusive employer, committed to equal opportunity for all candidates, regardless of gender, identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We select the most qualified candidate for each vacancy. In alignment with our total compensation philosophy, we offer a competitive base salary and may provide an annual bonus or commissions based on the role. Our comprehensive benefits for full-time (and eligible part-time) employees typically encompass various insurances, paid leaves, vacation days, a 401k plan with an outstanding company match, tuition reimbursement, and more. Join us at Mastercard to be part of an innovative team that champions progress and inclusivity while making a positive impact.
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The company with most openings is Leidos as they are hiring for 92 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.