Senior Quality Engineer, Data Platform

Talanto; San Jose, Northern (CA, KY); Hybrid; USD 144,000 - 213,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Unlimited Vacation

Life & Disability Insurance

Job summary

Talanto in the United States is seeking a Senior Quality Engineer to lead automation across the data platform, spanning ERP integrations, data processing, and accounting workflows. You will design scalable test frameworks, validate data accuracy, and collaborate with data engineers, backend developers, and product teams.

The role emphasizes data quality, performance, and reliability, with opportunities to mentor others and contribute to release validation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 5+ years of QA automation with 2+ years on data pipelines or data warehouses.
• Strong proficiency in JavaScript/TypeScript and Python.
• Experience with SQL for data validation.
• Experience testing against Snowflake/Redshift.
• Understanding ETL/ELT, data ingestion, and lineage.
• Experience with REST API testing and backend validation.
• GitHub Actions and version control (Git).

Responsibilities

• Design, build, and maintain automated test frameworks across the data stack.
• Validate data integrity, schema correctness, and transformation accuracy.
• Identify performance bottlenecks and reliability gaps in data workflows.
• Build and maintain data quality validation test suites.
• Integrate automated tests into CI/CD pipelines.
• Contribute to test data management strategies.
• Collaborate with release teams on validation and triage defects.
• Mentor junior QE engineers and promote data-quality culture.

Skills

QA automation

Data pipelines

SQL

JavaScript/TypeScript

Python

REST API testing

CI/CD

GitHub Actions

Data validation

Debugging data

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Snowflake

Redshift

NetSuite

Sage Intacct

SAP

Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

We are looking for a Senior Quality Engineer to join our Data Platform Quality Engineering team. In this role, you will drive quality across the systems that move, transform, and surface financial data for 's customers — spanning ERP integrations, large-scale data processing, and the accounting workflows that thousands of finance teams depend on every day. You will design and scale automation frameworks that validate data accuracy, pipeline reliability, and system performance, while partnering closely with data engineers, backend developers, and product teams.

We are looking for a Senior Quality Engineer to join our Data Platform Quality Engineering team. In this role, you will drive quality across the systems that move, transform, and surface financial data for 's customers — spanning ERP integrations, large-scale data processing, and the accounting workflows that thousands of finance teams depend on every day. You will design and scale automation frameworks that validate data accuracy, pipeline reliability, and system performance, while partnering closely with data engineers, backend developers, and product teams.

This job posting is for our Senior Software Development Engineer in Test, the base pay range for this position is $144,000 - $213,000. Compensation is not limited to base salary. values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.
About : is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, is redefining both the practice and the perception of accounting on a global scale. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly AuthenticAmbitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways

Here’s Why You Should Apply

• What is engineering working on? Our FQ Engineering Blog showcases a number of our recent efforts straight from the engineers working on them. Check it out!
• is regularly rated as aBest Place to Work!
• Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021
• Best Places to Work by LA Business Journal since 2017 (that’s 9 years!)
• Built In’s Best Place to Work in Los Angeles 7 years in a row!
• Because we are Customer Obsessed in All Ways, check out what our customers have to say about onG2 Crowd . If this aligns closely with what you are looking for, hit “Apply” and come join our growing team!

Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees.

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What You’ll Do:

• Design, build, and maintain automated test frameworks across the full data stack — covering data pipelines, ETL/ELT workflows, REST APIs, and backend services that power large-scale financial data processing.

• Validate data integrity, schema correctness, and transformation accuracy across ERP-to ingestion flows (NetSuite, Sage Intacct, SAP, and others).

• Identify performance bottlenecks and reliability gaps in data-heavy workflows — whether that’s slow ingestion on large customer datasets, pipelines that produce inconsistent results under load, or sync that behave differently across customer environments.

• Build and maintain data quality validation test suites — including row-count checks, referential integrity, financial aggregation accuracy, and cross-system reconciliation.

• Integrate automated tests into CI/CD pipelines with clear test reporting and alerting.

• Contribute to test data management strategies, including synthetic financial data generation and environment seeding for data platform services.

• Collaborate with release teams on release validation, triage defects, and drive root cause analysis on data discrepancies.

• Mentor junior QE engineers and champion a data-quality-first testing culture across the team.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science or a related field.

• 5+ years of QA automation experience, with at least 2+ years testing data pipelines, data warehouses, or data-intensive backend services.

• Strong proficiency in JavaScript/TypeScript and Python, and test frameworks (Jest, Mocha, Playwright, Cypress).

• Hands-on experience with SQL and data validation — writing complex queries to verify transformation logic, aggregations, and financial data accuracy.

• Experience testing against Snowflake, Redshift, or similar cloud data warehouses.

• Solid understanding of ETL/ELT concepts — data ingestion, transformation, schema evolution, and lineage.

• Experience with REST API testing and backend service validation.

• Proficiency with GitHub Actions and version control (Git).

• Strong debugging skills for data discrepancies — able to trace an issue from UI through API to pipeline and raw data store.

Nice to Haves:

• Prior exposure to ERP systems (NetSuite, Sage Intacct, SAP, or similar) and how data flows between source systems and a downstream platform.

• Familiarity with financial domain concepts — general ledger, month-end close, or multi-entity accounting.
• Some experience with observability or data monitoring tools.
• Background in SaaS or cloud-native architectures.