Software Engineer in Test III Data Analytics
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Who We Are:
At Emburse youll not just imagine the future youll build it. As a leader in travel and expense solutions we are creating a future where technology drives business value and inspires extraordinary results.Our AI-powered platform helps organizations modernize financial operations increase visibility and optimize spend across the enterprise.
Emburse SDETs contribute to the development of an engaging and interconnected set of system solutions. As an engineer you will enhance the experiences of your customers solve interesting challenges and design new solutions. Emburse known for its innovation and award-winning technologies is strong on engineering. This ensures you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.
What you will do :
- Technical
- Data testing & validation: Design implement and maintain unit integration regression pipeline acceptance and data-quality tests for ETL/ELT jobs streaming pipelines and data services (batch and real-time).
- Automation: Build and own test automation frameworks and test harnesses for data pipelines (e.g. Python/pytest dbt tests Great Expectations) including synthetic dataset generators golden datasets and fixture management.
- Data systems: Deep experience testing data platforms and tooling: cloud data systems (Snowflake BigQuery Redshift Microsoft Fabric) relational databases (MS SQL) and cloud providers like Azure orchestration tools (Airflow) and columnar file formats (Parquet Avro ORC).
- SQL & code: Expert in SQL for analytical validation and in at least one programming language used for data engineering such as Python. Build scripts tools and automation to validate schema data lineage transformations aggregation correctness null/missing value handling and performance characteristics.
- Observability & monitoring: Implement automated checks and alert logic for data freshness schema drift volume anomalies and metric regressions using observability/data quality tools (e.g. Great Expectations Monte Carlo custom monitoring).
- Performance & scale testing: Design and run performance throughput and scalability tests for pipelines and data services; profile and tune ETL jobs and queries to identify bottlenecks.
- Data contracts & governance: Work with engineering and product teams to enforce data contracts contract tests for data APIs and validate PII handling access controls and compliance requirements.
- Debugging & triage: Investigate reproduce and document data defects root causes and remediation plans; apply production debugging skills against ETL jobs queries and logs.
- Process
- Follow SDLC and agile practices including writing and reviewing tests as code peer code reviews CI/CD pipeline integration of tests and release gating based on automated data quality checks.
- Maintain and follow coding and test case management standards; ensure test suites are deterministic reproducible and fast enough to run in CI and nightly/rolling regression schedules.
- Document testing approaches known limitations and runbooks for operational incidents involving data.
- Own quality for analytics deliverables and data platform features within your area. Establish test strategies and define appropriate test coverage for pipelines models and metrics.
- Drive improvements in data quality and reliability through automation test architecture and proactive detection of data problems.
- Contribute to data documentation (data dictionaries lineage diagrams assumptions) and raise the bar for data governance and observability across teams.
- Communication
- Collaborate with Data Engineers Analytics Engineers Data Scientists Product Managers and Platform Engineers to design tests and validate business logic in analytical pipelines.
- Explain technical tradeoffs testing coverage and risk to non-technical stakeholders and suggest pragmatic compromises when necessary.
- Produce clear evidence-based defect reports and remediation plans; participate in post-mortems focused on data incidents.
Impact
Education & Experience :
- Education:
- Required: Bachelors degree in Computer Science or related field or equivalent years experience
- Required: 4 years of testing or SDET experience with a strong emphasis on data systems and analytics. Demonstrated experience writing tests for data pipelines validating analytical outputs or building test frameworks for ETL/ELT processes.
- Required: Proficiency in SQL and at least one general-purpose programming language used for data processing (Python preferred; Scala/Java acceptable).
- Required: Experience with cloud data warehouses (e.g. Snowflake BigQuery Redshift) and familiarity with at least one orchestration or streaming technology (Airflow Kafka Spark).
- Preferred: Experience with dbt data observability platforms (e.g. Monte Carlo) data modeling and analytical/BI tools (Looker Tableau PowerBI etc.). Experience testing ML models A/B test validation or statistical methods is a plus.
- Experience within Travel industry
Experience:
What we are looking for :
- Strong SQL skills for complex analytical validation: joins window functions aggregation correctness and performance tuning.
- Proficient in Python for test automation data manipulation (pandas/pyarrow) and building test harnesses.
- Demonstrable experience designing automated data quality checks and defining acceptance criteria for analytics deliverables.
- Experience with CI/CD systems (GitHub Actions Jenkins CircleCI) and integrating test runs into pipelines.
- Familiarity with data formats (JSON Avro Parquet) and schema evolution strategies.
- Solid understanding of distributed data processing consistency eventual consistency tradeoffs and data lineage.
- Ability to reason statistically about datasetsdetecting outliers sampling strategies and validating model/metric correctness.
- Excellent debugging skills across code SQL job logs and metadata; ability to produce reproducible test cases and remediation paths.
- Strong collaboration and written communication skills; experience conducting design/code reviews and mentoring peers.
Why Emburse
Finance is changingand at Emburse were leading the way. Our AI-powered solutions help organizations eliminate inefficiencies gain real-time visibility and optimize spendso they can focus on whats next not whats slowing them down.
A Company with Momentum We serve 12M users across 120 countries helping businesses modernize
their finance operations.
A Team That Innovates Work alongside some of the brightest minds in finance tech and AI to solve real-
world challenges.
A Culture That Empowers Competitive pay flexible work and an inclusive collaborative environment that
supports your success.
A Career That Matters Your work here drives efficiency innovation and smarter financial decision-making
for businesses everywhere.
Shape your future & find whats next at Emburse.
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability or addition to federal law requirements Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Continuous Integration
- APIs
- Jenkins
- Junit
- Quality Assurance
- Agile
- Testng
- Software Testing
- Java
- Test Automation
- Cucumber
- Selenium
About Company
Control spend your expense management and corporate travel management with Emburse. Select the best expense management software for your business or organization from our list of award-winning products and software.
