Senior Software Engineer

Senior Software Engineer- Data Engineer

We are looking for an experienced Data Engineer with strong expertise in Snowflake, dbt, Airflow, AWS, and modern data technologies like Python, Apache Spark, and NoSQL databases. The role focuses on designing, building, and optimizing data pipelines to support analytical and regulatory needs in the banking domain.

Key Responsibilities

• Design and implement scalable and secure data pipelines using Airflow, dbt, Snowflake, and AWS services.
• Develop data transformation workflows and modular SQL logic using dbt for a centralized data warehouse in Snowflake.
• Build batch and near real-time data processing solutions using Apache Spark and Python.
• Work with structured and unstructured banking datasets stored across S3, NoSQL (e.g., MongoDB, DynamoDB), and relational databases.
• Ensure data quality, lineage, and observability through logging, testing, and monitoring tools.
• Support data needs for compliance, regulatory reporting, risk, fraud, and customer analytics.
• Ensure secure handling of sensitive data aligned with banking compliance standards (e.g., PII masking, role-based access).
• Collaborate closely with business users, data analysts, and data scientists to deliver production-grade datasets.
• Implement best practices for code versioning, CI/CD, and environment management
  
  

Required Skills And Qualifications

• 8+ years of experience in data engineering, preferably in banking, fintech, or regulated industries.
• Hands-on experience with:
• Snowflake (data modeling, performance tuning, security)
• dbt (modular SQL transformation, documentation, testing)
• Airflow (orchestration, DAGs)
• AWS (S3, Glue, Lambda, Redshift, IAM)
• Python (ETL scripting, data manipulation)
• Apache Spark (batch/stream processing using PySpark or Scala)
• NoSQL databases (e.g., DynamoDB, MongoDB, Cassandra)
• Strong SQL skills and experience in performance optimization and cost-efficient query design.
• Exposure to data governance, compliance, and security in the banking industry.
• Experience working with large-scale datasets and complex data transformations.
• Familiarity with version control (e.g., Git) and CI/CD pipelines.
  

Preferred Qualifications

• Prior experience in banking/financial services
• Knowledge of Kafka or other streaming platforms.
• Exposure to data quality tools (e.g., Great Expectations, Soda).
• Certifications in Snowflake, AWS, or dbt.
• Strong communication skills and ability to work with cross-functional teams.
  
  

About Convera

Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers – helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs. Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, result-oriented people who are looking to move fast in an innovative environment. As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging.

We offer an abundance of competitive perks and benefits including:

• Competitive salary
• Opportunity to earn an annual bonus.
• Great career growth and development opportunities in a global organization
• A flexible approach to work
  
  

There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if you’re ready to unleash your potential.

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