Senior Data Engineer, Emburse
AI-powered expense intelligence
Job no longer available
AI-powered expense intelligence
501-1000 employees
Job no longer available
501-1000 employees
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
- Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
- Advanced working SQL knowledge and experience working with a variety of relational 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 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
What the job involves
- 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 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 Looker.
- In this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse
- Develops code (e.g. python), infrastructure and tools for the extraction, transformation, and loading of data from a wide variety of data sources, using SQL, streaming and related data lake and data warehouse technologies
- Builds analytical tools to utilize, model and visualize data
- Assembles large, complex data sets for the needs business for ad-hoc requests and as part of on-going software engineering projects
- Develops scripts to automate manual processes, address data quality, enable integration or monitor processes
- Understands data security to a high degree as applicable to multi-tenant environments, multiple regions and financial industry data
- Takes personal responsibility for quality and maintainability of the product and actively identifies areas for improvement
- Identifies problems/risks of own work and others
- Identifies viable alternative solutions and presents them
- Follows SDLC processes, including adopting agile-based processes, peer code-reviews, and technical preparations required for scheduled releases and demos
- Partners with product, analytics and data science team to drive requirements that take into account all parties' needs
- Establishes monitoring, responds to alerts and resolves issues within data pipeline
- Develops sophisticated data-oriented software or systems with minimum supervision
- On-boards and mentors less experienced team members
- Makes complex contributions to technical documentation/knowledge base/data directionaries and team/engineering presentations
- Optimizes processes, fixes complex bugs and demonstrates advanced debugging skills
- Collaborates with product owners, software developers, data scientists, devops and analysts
- Expanded Code review responsibilities
- Performs advanced refactoring
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
-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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