Andiamo

Sr. Data Engineer - Fintech Leader (Series D)

New York, New York · Senior

Sponsorship not specifiedDetected 51 days ago

PythonScalaSQLBigQuerySnowflakeRedshiftAWSGCPAzureKafkaSparkAirflowdbtData EngineeringData ScienceComplianceRisk Modeling

About the role

You'll work closely with product managers, compliance experts, and engineering teams to ensure our data platforms not only scale with rapid growth but also meet the highest standards of accuracy, governance, and security.

Architect Scalable Pipelines: Build and optimize ETL/ELT workflows and real-time streaming systems that power financial products and compliance reporting.
Ensure Data Quality: Implement validation, lineage tracking, and governance practices to guarantee trustworthy financial datasets.
Integrate Across Systems: Design data flows connecting payment processors, banking APIs, risk systems, and analytics platforms.
Collaborate Cross-Functionally: Work with risk, compliance, and product teams to deliver data solutions that satisfy regulatory and business requirements.
Enable Advanced Analytics: Support data science and BI teams with reliable, structured, and high-performance datasets.
Drive Observability: Implement monitoring and alerting for data pipelines to ensure transparency and reliability in production.
Build and optimize ETL/ELT workflows and real-time streaming systems that power financial products and compliance reporting.
Implement validation, lineage tracking, and governance practices to guarantee trustworthy financial datasets.
Design data flows connecting payment processors, banking APIs, risk systems, and analytics platforms.
Work with risk, compliance, and product teams to deliver data solutions that satisfy regulatory and business requirements.

Professional Experience: 5-8 years in data engineering, ideally within fintech, banking, or other regulated industries.
Programming Skills: Expertise in Python or Scala, with strong SQL experience.
Hands-on experience with modern warehouses (Snowflake, BigQuery, or Redshift) and data lakes.
Knowledge of Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
Proficiency with AWS, GCP, or Azure, including security and compliance tooling.
Experience with data privacy, encryption, and regulatory compliance (SOC 2, PCI, GDPR, etc.).
Bachelor's or Master's in Computer Science, Engineering, or related quantitative field.

5-8 years in data engineering, ideally within fintech, banking, or other regulated industries.
Familiarity with transaction data, payments, or risk modeling systems is strongly preferred.

Expertise in Python or Scala, with strong SQL experience.
Data Platforms: Hands-on experience with modern warehouses (Snowflake, BigQuery, or Redshift) and data lakes.
Streaming & Orchestration: Knowledge of Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
Cloud Expertise: Proficiency with AWS, GCP, or Azure, including security and compliance tooling.
Financial Data Understanding: Familiarity with transaction data, payments, or risk modeling systems is strongly preferred.
Governance & Security: Experience with data privacy, encryption, and regulatory compliance (SOC 2, PCI, GDPR, etc.).
Education: Bachelor's or Master's in Computer Science, Engineering, or related quantitative field.
About Andiamo
Talent Partners for the AI Revolution.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO).
Find out more at www.andiamogo.com

We are seeking a Senior Data Engineer to help design and scale the data infrastructure powering a $200M Series D fintech firm.

us of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google

This listing is sourced directly from Andiamo's careers page and normalized into a canonical job model.