Software Engineer in Test, Emburse
Data Analytics
Salary not provided
SQL
Python
Tableau
Looker
Scala
Java
Kafka
Airflow
Jenkins
Azure
Redshift
Spark
Pandas
Snowflake
BigQuery
Parquet
Drift
TUNE
JSON
dbt
Mid and Senior level
Toronto
AI-powered expense intelligence
Be an early applicant
AI-powered expense intelligence
501-1000 employees
FintechB2BArtificial IntelligenceAccountingAutomation
Be an early applicant
Salary not provided
SQL
Python
Tableau
Looker
Scala
Java
Kafka
Airflow
Jenkins
Azure
Redshift
Spark
Pandas
Snowflake
BigQuery
Parquet
Drift
TUNE
JSON
dbt
Mid and Senior level
Toronto
501-1000 employees
FintechB2BArtificial IntelligenceAccountingAutomation
Company mission
To deliver the greatest business value for our customers and make the lives of professionals easier through innovative expense management, business travel, accounts payable, and payment solutions.
Role
Who you are
- Required: Bachelor’s 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
- 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 datasets—detecting 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
What the job involves
- 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
- 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)
- 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
- 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
- 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
- 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
Our take
Keeping track of spend is a vital capability for businesses - one that has been complicated by the switch to digital payments, an increase in remote working, and inflation, among other things. Emburse supplies a platform to manage and optimize spend, that removes the need for manual processes, speeding them up whilst keeping them compliant and delivering insights into spend trends.
Emburse's platform covers travel, employee and centralized spend, with a range of capabilities including automated purchasing, technology assisted human audit, and smart data reporting. Thousands of organizations make use of the company's offering, with notable clients including Microsoft and Bosch, and it has been recognized as an industry leader - all boding well for its future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Led by a woman
Top investors
-5% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2016
$0.2m
SEED
Mar 2016
$0.2m
SEED
Total funding: $4.5m
Company benefits
- Generous paid time off for every employee and flexible work schedules
- Volunteering opportunities
- Paid leave for new parents
- Medical, dental, vision, disability and life insurance plans
- Health savings accounts (HSA)
- Generous match to pre- or post-tax retirement savings accounts
- Financial planning services
- Flexible spending accounts
- Program in partnership with eCornell to grow their knowledge and their careers
- Quarterly outings and Friday get-togethers to build a strong community at work
- Delicious supply of snacks and beverages
Company HQ
Miracle Mile, Los Angeles, CA
Leadership
Marne Martin
(CEO & Board Member)Non Executive Board Member at Riskonnect. Former CSOP and President of IFS, and CEO at WorkWave.
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