In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Data Engineer to join our growing Data team.

In this pivotal role, you will be part of a world-class data team that is focused on empowering decision-makers and enhancing operations. We thrive on collaboration, creativity, problem-solving, and a drive to add value.  

Location - This role will be hybrid out of our downtown Chicago office

Why Join Us: 

• Join a rockstar team and use leading technologies to make a huge impact on critical company initiatives.
• Enjoy a stellar company culture, competitive salary and great benefits.

What the data team does: We focus on building data assets that are impactful to the business. We select and configure tools to support reliable data operations and availability of data assets to business users. We collaborate with each other and across the whole organization to connect systems, connect dots and share knowledge. We build data stores, pipelines, databases, data models, metrics, visualizations, and all the things that make it a reliable, secure, well-managed data platform. 

What you’d focus on: Your role will be to help design, build and manage the data platform, pipelines and models that support strategic analysis, BI, ML and AI. As you build, you will also help make it more reliable, secure and well-managed by proactively identifying and implementing improvements in the platform. 

Experience & Skills we value:

• A solid track record with at least 5 years in data engineering.
• Proven experience and self-motivation in taking initiative to identify needs, moving projects forward and delivering results.
• Exceptional communication skills that promote effective teamwork.
• Deep understanding of Kimball and OBT-style data modeling, with a complimentary drive to understand the business and create optimal models for BI and ML use cases. 
• Expertise in dbt and Airflow, with deep experience in SQL, Python, pipeline development, orchestration and deployment. 
• Experienced in Snowflake administration, with a solid understanding of performance optimization and RBAC.
• Excellent problem-solving capabilities with a flair for analyzing the business and systems impact.

Nice to have and/or you’ll learn: 

• Being comfortable developing in IaC tools, like Terraform
• Being comfortable working with offshore DevOps teams to make requests for networking changes, AWS services, and permissions

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $90,000 - $130,000
• 15% (% of Annualized Base Pay, paid quarterly)

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Tool Appendix:

Our strategy for data platform tool selection is to use hosted/SaaS tools when possible. For us, this means that the data engineer role does less with infrastructure but more with data pipelines and data models. 

We work with a diverse set of tools, as shown below. While familiarity with all is beneficial, we value strong technical skills and a willingness to learn new technologies.

Category	Tool/Topic
Ingestion	Fivetran, but looking at other solutions
Data	Snowflake, Snowpark, AWS
Orchestration	Airflow
Transformation	Dbt, SQL, Python
Data modeling:	Kimball, metrics, OBT
Semantic/metrics layer:	Cube.dev
BI	Domo, but looking at other solutions
Data catalog	Looking at solutions
Observability	Elementary, Slack Notifications, Reports
CI/CD	Github Actions
IaC	Terraform, Titan for Snowflake
Other	Security, Users, Roles and Permissions in Snowflake
Team	Google Workspaces, Microsoft coming soon, Jira, Confluence, Azure DevOps, Slack for company comms
Sources	Microsoft D365 F&O, Postgres, APIs, third-parties