DataDrive is looking for an Analytics Engineer who thrives across the full analytics stack (Snowflake/dbt/Tableau). In this role, you will build and maintain data pipelines, transform raw data into reliable models, and develop the Tableau dashboards that put insights in front of our clients. You will not be siloed into one discipline. The balance between data engineering and dashboard development shifts with client needs, and the right person finds energy in both.

This is a high-impact position in a small, growing company. You will work directly with clients, shape how our platform evolves, and have real influence over the tools and practices we adopt. If you want ownership, variety, and the chance to see your work drive measurable outcomes, this role is built for you.

DataDrive has a fun culture that celebrates individual differences. We believe in and are committed to creating a diverse, equitable, and inclusive workplace. We value those who embrace adventure, subscribe to life-long learning, and take ownership and pride in their work. In our professional yet relaxed environment, we want employees who enjoy what they do, seek balance outside of work, and constantly strive to help us grow by helping our clients grow in their analytics capabilities.

As part of day-to-day responsibilities, the Data Analytics Engineer position will

Data Engineering & Pipeline Development

• Monitor, optimize, and integrate batch data pipelines into Snowflake using ELT tools (Fivetran, Airbyte) and custom Python integrations to databases and APIs
• Build and maintain dbt projects that transform source data into clean, testing reporting models
• Develop Airflow orchestration pipelines connecting data ingestion, Snowflake, dbt, and Tableau
• Design and implement DataOps practices using Github Actions, dbt testing, and data observability tooling

Tableau & Analytics Delivery

• Build and maintain Tableau dashboards and published data sources as a core part of client delivery, following internal design standards
• Set up optimized, easy-to-use data sources in Tableau that enable self-service analytics for clients
• Collaborate with clients to translate business questions into effective visualizations

Platform & Continuous Improvement

• Identify opportunities to improve our managed analytics platform and build the automation to make it happen
• Stay current on the evolving cloud data and analytics ecosystem
• Commit to strong SDLC practices include version control, code review, and documentation

In a growing small company rooted in analytics, change is the only constant. A candidate for this role should be adaptable and excited about the opportunity to ‘wear many hats’ as every member plays an influential role in making DataDrive an amazing place to work and grow together. We want you to embrace the adventure!

We are unable to sponsor visas at this time.

Required Background for the Role

• 3+ years of professional experience in building cloud data pipelines and data warehousing within a cloud data warehouse (ideally Snowflake)
• High proficiency and experience working with SQL and Python
• Working experience with dbt and Airflow (or similar tooling)
• Experience designing data models to support reporting and business outcomes
• 1+ year of hands-on Tableau development (dashboard building, data source configuration, permissioning)

Nice to Haves

• Experience with Fivetran, Terraform, or Github Actions
• Familiary with AWS services
• Background in consulting or client-facing analytics delivery
• Comfort with ambiguity and shifting priorities in a small-company environment

Who You Are

• You are equally comfortable writing dbt models and building Tableau dashboards
• You are a strong listener and collaborator who brings an optimistic, solution-oriented approach to problems
• You embrace an incremental improvement mindset and are always looking for ways to do things better
• You take ownership of your work and hold yourself to a high standard
• You are adaptable and excited to wear many hats as every team member plays an influential role at DataDrive

We recognize that there is no such thing as a perfect candidate. We embrace professional and personal growth - so however you identify and no matter what your experience level, background, or education is, please apply if this role would make you excited to come to work every day!

Anticipated Schedule & Workplace Expectations

DataDrive is a remote-first company that embraces a flexible, virtual workplace. We expect employees to be generally available for meetings, collaboration, client communication, and support Monday - Friday during normal business hours (9a - 4p CST).

To maintain connection in a virtual world with our team and clients, employees are expected to

• maintain regular access to high-speed Internet connections
• turn on video/webcam for the majority of meetings
• dress appropriately for their day (e.g. business casual for external audiences)
  
  

About DataDrive

Founded in 2017, DataDrive is a fast-growing managed analytics service provider that not only provides modern cloud analytics data platforms to data-driven organizations, but also supports ongoing training, adoption, and growth of our clients’ data cultures. We seek to elevate people and organizations by building strong data cultures and platforms.

DataDrive offers a unique team-oriented environment where one can develop their skills and work directly with some of the most talented analytics professionals in the business. We are a connected group who work hard, live well, care for others, & celebrate as a team.

We help our clients and ourselves win by showing up with the following values:

• Embrace the Adventure
• Win as a Team
• Grow through Curiosity
• Own the Outcome

DataDrive has been recognized as a ‘Best Place to Work’ by Minneapolis Business Journal.