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.
Summary/Objective Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburses SaaS products. As a data engineer you will build the pipelines that populate the data warehouse and data lakes implement tenant data security support the data science platforms and techniques and integrate AI data solutions and APIs with Emburse products and analytics. The role is based within the Emburse Platform analytics team a fast moving and product-focused team responsible for delivering next generation business intelligence and data science capabilities across the business. Emburse known for its innovation and award-winning technologies employ modern technologies including Snowflake Data Bricks/Spark AWS and this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.
Essential Functions
Technical
4 years of data engineering experience related to data acquisition data pipeline or analytics systems
Self-sufficient in at least one large area of the data acquisition data pipeline analytics codebase semantic views and an understanding of how a handful of key sub-systems interoperate
Develops code (e.g. python Java or with specialized ETL tools) for the extraction transformation and loading of data from a variety of data sources
Builds analytical tools to utilize model and visualize data
Can interpret ad-hoc requests for data and translate these into the applicable data operations
Develops scripts to automate manual processes address data quality enable integration or monitor processes
Understands relational databases columnar databases development frameworks and commonly used industry libraries.
Understands testing and integration testing techniques
Ability to read and understand existing code and offer recommendations for improvement
Understanding of OWASP
Process
SDLC processes are followed including adopting agile-based processes/meetings peer code-reviews and technical preparations required for scheduled releases.
Understands product roadmap and how one contributes to the overall objectives
Capable at prioritizing tasks
Estimates their own work
Learns and applies secure software development practices reviews code for vulnerabilities and raises awareness of secure programming practices
Impact
Optimizes processes fixes bugs of moderate complexity and demonstrates proficient debugging skills
Reviews code for team members providing in-depth comments
Develops new features or enhancements with minimal supervision
Delivers medium level refactoring
Implements unit testing and integration testing where needed
Produces quality technical documentation
Makes technical documentation/knowledge base contributions and technical team presentations
Communication
Gives constructive feedback to team members
Understanding of industry jargon and business concepts
Raises roadblocks and updates estimations as needed
Education:
Required: Bachelors degree in Computer Science or related field or equivalent years experience
Experience:
Advanced working SQL knowledge and moderate experience working with relational or columnar databases
Experience working with a modern scalable data lake or data warehouses
Experience working with a modern data pipeline or data workflow management tool
Experience working with semantic data modeling for AI optimization
Experience working in a product-oriented environment alongside software engineers and product managers
Experience with Python in a full SDLC/production deployment environment
Preferred: Experience with AWS services Experience working with Snowflake Experience working with Looker or an equivalent Business Intelligence suite Experience working with Fivetran or an equivalent ETL/ELT suite Experience with Databricks or an equivalent Spark-based suite Financial Industry experience preferred
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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
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...
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.
Summary/Objective Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburses SaaS products. As a data engineer you will build the pipelines that populate the data warehouse and data lakes implement tenant data security support the data science platforms and techniques and integrate AI data solutions and APIs with Emburse products and analytics. The role is based within the Emburse Platform analytics team a fast moving and product-focused team responsible for delivering next generation business intelligence and data science capabilities across the business. Emburse known for its innovation and award-winning technologies employ modern technologies including Snowflake Data Bricks/Spark AWS and this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.
Essential Functions
Technical
4 years of data engineering experience related to data acquisition data pipeline or analytics systems
Self-sufficient in at least one large area of the data acquisition data pipeline analytics codebase semantic views and an understanding of how a handful of key sub-systems interoperate
Develops code (e.g. python Java or with specialized ETL tools) for the extraction transformation and loading of data from a variety of data sources
Builds analytical tools to utilize model and visualize data
Can interpret ad-hoc requests for data and translate these into the applicable data operations
Develops scripts to automate manual processes address data quality enable integration or monitor processes
Understands relational databases columnar databases development frameworks and commonly used industry libraries.
Understands testing and integration testing techniques
Ability to read and understand existing code and offer recommendations for improvement
Understanding of OWASP
Process
SDLC processes are followed including adopting agile-based processes/meetings peer code-reviews and technical preparations required for scheduled releases.
Understands product roadmap and how one contributes to the overall objectives
Capable at prioritizing tasks
Estimates their own work
Learns and applies secure software development practices reviews code for vulnerabilities and raises awareness of secure programming practices
Impact
Optimizes processes fixes bugs of moderate complexity and demonstrates proficient debugging skills
Reviews code for team members providing in-depth comments
Develops new features or enhancements with minimal supervision
Delivers medium level refactoring
Implements unit testing and integration testing where needed
Produces quality technical documentation
Makes technical documentation/knowledge base contributions and technical team presentations
Communication
Gives constructive feedback to team members
Understanding of industry jargon and business concepts
Raises roadblocks and updates estimations as needed
Education:
Required: Bachelors degree in Computer Science or related field or equivalent years experience
Experience:
Advanced working SQL knowledge and moderate experience working with relational or columnar databases
Experience working with a modern scalable data lake or data warehouses
Experience working with a modern data pipeline or data workflow management tool
Experience working with semantic data modeling for AI optimization
Experience working in a product-oriented environment alongside software engineers and product managers
Experience with Python in a full SDLC/production deployment environment
Preferred: Experience with AWS services Experience working with Snowflake Experience working with Looker or an equivalent Business Intelligence suite Experience working with Fivetran or an equivalent ETL/ELT suite Experience with Databricks or an equivalent Spark-based suite Financial Industry experience preferred
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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