Analytics Engineer

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.