Analytics Engineer

About Karbon

Karbon is the global leader in practice management software for growth-minded accounting firms. We provide an award-winning, highly collaborative cloud platform that streamlines work and communication, enabling the average accounting firm using Karbon to save 16 hours per week, per employee.

We have customers in 34 countries and have grown into a globally distributed team, with our people based throughout the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, have a fantastic team culture built on our values, are growing rapidly, and making a global impact.

This role sits within our insights and reporting team. This role supports our revenue generating reporting suite - Karbon Practice Intelligence (KPI). The successful candidate will be capable of building data pipelines inside snowflake using DBT, and build accurate reports in powerBI.

Some of your main responsibilities will include:

• Create and manage data pipelines - that enable the ingestion, transformation, and loading (ETL/ELT) of data from various sources into our data lake/data warehouse.


• Build PowerBI Reports - Build complex customer facing PowerBI reports and iterate reporting requirements and business story with product manager and the UX designer.


• Data management - Be able to build quality checks and tests for all newly developed code and data assets, checking for completeness and integrity against established processes.


• Collaboration - You can work in a cross-functional team with AI engineers, analysts and full stack developers.

If you're the right person for this role, you have:

• 3+ years of relevant work experience in data analytics/engineering


• Proficiency in advanced SQL


• Experience with data warehouse/data lake technologies (BigQuery, Databricks, Snowflake, Redshift, etc.)


• Proficiency in a relevant programming language (Python, Scala, Java, Javascript, R, etc.)


• Experience implementing ETL/ELT processes, data migration patterns, and dimensional modeling concepts (DBT, FiveTran, Stitch, Talend, etc)


• Proficiency in data visualization tools (PowerBI preferred)

It would be advantageous if you have:

• Previous experience with Azure cloud (Highly desirable)


• Experience with Docker and K8s


• Experience with CI/CD such as Github Actions


• Experience with IaC such as Terraform and OpenTofu


• Experience with orchestration tools (Airflow, Dataflow, AWS Glue, etc.)

Why work at Karbon

• Industry-leading benefits package including medical, dental, and vision insurance for you and up to three eligible dependents


• 15 paid time off days per year (which includes 5 Karbon Days per year)


• 7 Sick leave days per year


• Internet and work-from-home subsidy


• Discretionary bonus program


• Work with (and learn from) a very experienced team


• Be part of a startup team that will continue to grow around you


• Flexible approach to work environment (we believe in trust and autonomy)


• A culture of open communication, consistent feedback, and full transparency into company results, metrics, and financial position

Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role!

We recruit and reward people based on capability and performance. We don't discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization.

Generally, if you are a good person, we want to talk to you.

If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at [Confidential Information] for a confidential discussion.

At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!