Data Engineer

Job Title: Data Engineer Role

Summary: We are seeking an experienced Data Engineer to design, build, and scale modern data platforms supporting analytics, reporting, and regulatory use cases in the banking domain. The ideal candidate will have deep expertise in Snowflake, dbt Cloud, Apache Airflow, and AWS-based data ingestion, and a strong understanding of Medallion Architecture (Bronze, Silver, Gold layers).

Key Responsibilities

Design, develop, and maintain scalable data pipelines using AWS services, Airflow, dbt Cloud, and Snowflake

Implement and govern Medallion Architecture: Bronze: Raw ingestion and landing Silver: Cleansed, conformed, and enriched datasets Gold: Analytics-ready, business-curated data models

Build robust data ingestion frameworks leveraging AWS services such as: S3, Lambda, Glue, SNS/SQS, Kinesis, Kafka

Develop ELT pipelines using dbt Cloud for transformations, testing, documentation, and version control • Orchestrate workflows and dependencies using Apache Airflow

Partner with Product, Analytics, Risk, Compliance, and Business teams to deliver trusted data products • Ensure data quality, lineage, and observability through testing, monitoring, and alerting

Implement CI/CD pipelines for data workloads

Enforce data governance, security, and compliance standards (PII, SOX, GDPR, PCI where applicable)

Required Skills & Qualifications Experience

5+ years of hands-on experience in Data Engineering, with strong exposure to banking or financial services data platforms.

Technical Skills

Snowflake

Data modeling, performance tuning, streams & tasks, secure views
dbt Cloud
Models, tests, macros, documentation, environments, CI
Apache Airflow • DAG design, scheduling, monitoring, and error handling
AWS Data Services : S3, Glue, Lambda, Kinesis, SQS/SNS, IAM
Strong experience with SQL and Python • Hands-on experience with Medallion / Lakehouse Architecture
Experience handling batch and near-real-time ingestion
Version control (Git), CI/CD, and Infrastructure-as-Code exposure Banking / Domain Experience (Must-Have)
Experience working with banking or financial services data such as: Transactions, payments, accounts, loans, risk, fraud, regulatory reporting
Strong understanding of: Data controls, auditability, reconciliation Regulatory and compliance requirements
Experience handling sensitive data (PII) with strong security practices Nice to Have
Experience with Kafka / MSK
Exposure to semantic layers (Tableau, Looker, Power BI)
Knowledge of data governance tools (Collibra, Alation, Unity Catalog, OpenMetadata)
Cloud certification (AWS / Snowflake) Soft Skills • Strong problem-solving and analytical thinking
Excellent communication with technical and non-technical stakeholders
Ability to work in Agile / POD-based teams
Ownership mindset with attention to detail and data quality

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.

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