At Emburse our mission is to help make our users’ lives -- and their businesses – better. We are dramatically transforming how organizations manage corporate expenses and invoices. We humanize work by automating manual tasks and saving users’ time, so they can focus on what matters most -- their family, community, or more rewarding work. We help CFO's give their employees a simple and amazing experience while ensuring compliance and reducing costs. Our solutions are tailored for companies from start-ups to enterprises. We have more than 16,000 clients and 9 million users globally.

Emburse has offices across North America, including Los Angeles, Montreal, Portland (ME), San Diego, San Francisco, and Toronto, as well as locations in the UK, Germany, Spain, Australia and the Netherlands.

Our core values - Sincerity, Empathy, Empowerment, Individuality, and Teamwork - reflect who we are as a company. They are central to the decisions we make and the interactions we have with our teams, customers, and partners. As a people-focused company, we are seeking candidates who align with our values.

Emburse is a proud recipient of a 2020 Tech Cares Award from TrustRadius and a 2020 IDC SaaS CSAT Award for Travel and Expense. These awards celebrate companies that have gone above and beyond to provide their communities, clients, and front-line workers with support during the COVID-19 pandemic. We are a people-first company, and this award is a testament to our mission to humanize work.

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What you'll do:

• 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 and a understanding of how a handful of key sub-systems interoperate 
• Develops code (e.g. python, Java or .net, 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, 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 
• 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
• 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
• Gives constructive feedback to team members
• Understanding of industry jargon and business concepts
• Raises roadblocks and updates estimations as needed
• #LI-BM1
• #LI-Remote

What we're looking for:

• Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
• Advanced working SQL knowledge and moderate experience working 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

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 genetics. In 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.