Senior Data Engineer

Sapient Search; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Sapient Search Group is partnering with a fast-growing US fintech to hire a Senior Data Engineer who will own the data platform behind banking and payments products. You will design, build, and operate production ETL/ELT pipelines on an AWS lakehouse, ensuring data quality, observability, and scalable performance.

You’ll work across Engineering, Product, Finance, Risk, and Operations to reconcile data, migrate systems, and preserve historical data during migrations while maintaining accurate

Qualifications

• 5+ years hands-on data engineering in production environments.
• Strong AWS, SQL, Python, and data modeling skills.
• Experience designing and operating production ETL/ELT pipelines.

Responsibilities

• Own and evolve the data platform behind banking and payments products.
• Build, optimize, and monitor ETL/ELT pipelines with large transactional data.
• Ensure data quality, observability, and reliable data delivery across teams.
• Support migrations, data mapping, and preservation of historical data.

Skills

5+ years data eng

AWS

SQL

Python

Data modeling

ETL/ELT pipelines

Job description

We are partnering with a highly profitable, fast growing US fintech company that is expanding its internal engineering organization and looking for a Senior Data Engineer to take ownership of the data platform behind its banking and payments products.

The company has already built the foundation of a modern AWS based data platform, including a lakehouse architecture, ingestion framework, financial data models, and initial reporting datasets. The next stage is making that environment fully production ready, scalable, observable, and reliable as the business continues to grow.

This is a hands on role with significant ownership. You will build and improve ETL and ELT pipelines, work with large volumes of transactional data, strengthen data quality and monitoring, and help create trusted datasets used across Engineering, Product, Finance, Risk, and

Operations.

A major focus of the role will be financial reconciliation. Data is distributed across banking partners, payment processors, and internal systems, and this person will help identify and investigate missing transactions, duplicate activity, settlement differences, balance discrepancies, and other exceptions.

The company is also preparing for important bank and payment processor migrations. You will help build new ingestion pipelines, map legacy data into new systems, preserve historical transaction data, validate information before and after migrations, and make sure balances and reporting remain accurate throughout the transition.

What We’re Looking For:

• 5 plus years of hands on Data Engineering experience
• Strong AWS, SQL, Python, and data modeling skills
• Experience designing and operating production ETL and ELT pipelines
• Experience with modern warehouse or lakehouse architectures
• Experience with data quality, observability, monitoring, lineage, backfills, and incremental processing
• Experience ingesting data from APIs, relational databases, SFTP files, or other external systems
• Comfortable working with large transactional datasets and investigating discrepancies across multiple systems
• Ability to inherit an existing data platform, understand how it works, and improve it rather than needing to rebuild everything from scratch

Experience in fintech, payments, banking, lending, card issuing, card processing, ACH, ledgers, settlement, reconciliation, sponsor banks, or payment processor integrations would be especially valuable.

This is a great opportunity for someone who enjoys solving complex data problems and wants real ownership of a platform. You will have the opportunity to influence architecture, improve engineering standards, work directly with financial infrastructure, and become a key part of the company’s growing engineering organization.