Sr. Data Engineer - Fintech Leader

About The Role
We are seeking a
Senior Data Engineer
to help design and scale the data infrastructure powering a $200M Series D fintech firm. Our mission is to deliver secure, reliable, and intelligent financial technology products that serve customers globally. As a Senior Data Engineer, you’ll play a key role in building data systems that handle sensitive financial data, drive real-time decisioning, and enable analytics across the organization.

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. This is a hands-on role with direct impact on how we manage, analyze, and deliver data across high-value fintech applications.

What You’ll Do

• 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.
• Mentor & Guide: Share best practices in data engineering with peers and contribute to shaping engineering culture in a scaling fintech environment.

What We’re Looking For

• 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.
• 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.

Why Join
This is your opportunity to join a Series D fintech firm at an inflection point—scaling rapidly while redefining how financial services are built and delivered. As Senior Data Engineer, you’ll shape the systems that process sensitive financial data, ensure compliance at scale, and enable products trusted by customers worldwide. You’ll work with cutting-edge technologies, a high-performing team, and have the ability to leave a lasting mark on the fintech industry.

About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we've maintained the status 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-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO).