Octane11 is a B2B-focused data analytics and collaboration platform that connects paid, owned, and earned marketing, sales, and product usage data to drive real business results. We help B2B enterprises with $100M+ in revenue to integrate, enrich, and analyze data across teams, and compare performance to industry benchmarks. Octane11 is backed by Javelin Venture Partners, BDMI, Honeystone Ventures, Plug and Play Ventures, Base Ventures, Circadian Ventures, and AperiamVentures. Launched in late 2020, Octane11 is already helping some of the largest B2B enterprises break down data silos and turn every digital interaction into an actionable insight. We are growing quickly and seeking smart, enthusiastic and creative teammates to join us.
We are looking for a highly skilled, organized and self-motivated Data Engineer who is passionate about building a modern, cloud based and scalable self-service data platform to join our growing engineering team and be responsible for building out the core data, analytics and reporting that drives our business. We are a small team, self-organized, highly autonomous and motivated. You will be working directly with engineers, data analysts, product managers and other stakeholders in a highly team-centric manner to build out our analytics and collaboration platform. We’re serious about best engineering practices and writing quality software that is clean, easy to maintain, secure and scalable. This is an outstanding opportunity to be a high-impact contributor on a fast-growing, entrepreneurial team with unlimited potential for learning, responsibility, and career development.
Work closely with engineers on the team to architect, build and improve our data platform and analytics infrastructure.
Collaborate with BI Analysts, Product and Sales team members to translate business requirements into new and improved data models.
Take ownership for decisions on technical implementations and architecture, together with the team.
Design and implement fault-tolerant, resilient ELT/ETL pipelines from a wide range of data sources.
Contribute to the implementation of engineering best practices, including unit tests and integration tests in a CI/CD environment.
Build monitoring tools to help meet our data quality/availability SLAs and ensure high-availability for our infrastructure.
Perform data analysis and modeling using SQL best practices for query and database performance.
Advocate for improvements to data quality, security, and performance.
Learn from others and share your knowledge on a team, department and company level.
Contribute to increasing technical excellence for the team.
Serve as a technical lead on our data engineering team, providing training and mentorship to help develop the skills and talents of others.
Ability to work independently without active supervision, and take full ownership of what you build.
Share ownership of the end to end product.
Most importantly, help develop a culture and team that seeks to make our clients heroes and strive for greatness every day.
You care about the value of data and have a passion for solving problems.
Experience with software development practices like infrastructure as code, Test Driven Development, CI/CD, clean code, version control and pair/mob programming.
A high level of proficiency in Python and SQL
4+ years of experience in a data engineering, analytics, or related software development environment.
Ability to leverage tools, business intuition, and attention to detail for data validation and QA.
Familiar with modern data technologies/stack (dbt, BigQuery, Docker, Git, python, etc.)
You are a self-motivated individual contributor and great teammate with the ability to multi-task, prioritize and share progress in a rapidly changing environment.
You are a good communicator who values building strong relationships with colleagues and stakeholders.
Here are some extras that could make you the ideal candidate:
Experience with AdTech, MarTech and Enterprise Sales use cases.
Experience with AdTech/MarTech/SalesTech APIs (eg. Salesforce, Marketo, LinkedIn, etc).
Bachelors degree, Masters degree in Computer Science or related fields.
We use a variety of technologies for solving the different technical challenges. We are interested in candidates from a range of backgrounds, as long as you have a keen understanding of Object Oriented Programming and data modeling. Technologies used include:
Google Data Studio, Yellowfin BI
HashiCorp Terraform, HashiCorp Vault
Git / GitHub
Google Cloud Platform (GCP)
If you are an experienced data engineer, interested in making a high business impact, learning and growing, we want to hear from you!