Data Engineer

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Location
Sandy, UT

Career Area
Analytics

Job Function
Implementing analytics systems

Employment Type
Full Time

Position Type
Salary $80k – $130k DOE

Experience
1 to 3 years

What you already should know

You should already have a strong, functional working knowledge of SQL and using cloud data warehouses like Bog Query.

What we will happily teach you

It will be important that you become proficient with a variety of marketing technology platforms like. For example, analytics platforms like GA4 and Adobe, CRM platforms like Hubspot and Salesforce, as well as ecommerce engines like Shopify.
 
From there the next step is mastering things like dbt – data transformation tools, version controls, Fivetran or other ELT tools like Stitch and Supermetrics.

Preferred Qualifications

  • Data visualization using the data mart tables you’ve built (PowerBI, Tableau, Google Data Studio).
  • Writing custom ETL processes (Python/Javascript, APIs, cloud functions/lambda).
  • Experience in agency work and owning client outcomes, coordinating with them on discovery, implementation, and enablement.
A Day in The Life
How We Prepare You
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Where You Fit In As The Data Engineer

Role: Analytics Architect

The design of an analytics system based on business needs, its configuration, the customer journeys that are encompassed, and the function of the website, app, etc.

What data should be collected (including metadata), what events should be collected (and what should trigger their collection), how the analytics system cooperates with other tech that is in use.

How it should be grouped or rolled up to accommodate answering meaningful questions.

Role: Analytics Engineer

The implementation of tracking such that the analytics architecture is translated into a real-world system. The verification of all events, triggers, and integrity of the data both at time of collection and in the destination systems that collect the data.

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Role: Data Engineer

The transformation, enriching, and cleanup of data via a series of logical, well-documented steps that provide the capability of a business to trust the output data.

Through this process there should be singular places to get each piece of output data. The logic behind the cleanup processes should be congruent across an organization.

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Role: Visualization Engineer

The translation of clean, enriched data into meaningful dashboards, reports, exploration tools that leverage visualization to facilitate meaningful interpretation of data with as few distractions as possible.

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Role: Data Analyst

Through the use of dashboards, reports, and exploration tools (which could include ad hoc SQL work), mining for insights (something different than expected or new opportunities).

This can take the form of answering an explicit question from within a business, exploration for the sake of seeking insights, or at the prompt of a monitoring system.

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Role: Optimization Engineer

Pulling the learnings from each step in the process our teams come together to create ideas for iterative testing our clients can use to narrow down the cause and effect of the insights discovered in their data.

This allows everyone to move forward with confidence knowing what each lever in the campaign is doing to contribute to increased ROI.

Benefits of Working With Us

Competitive Pay

There is a huge shortage of qualified technically skilled people - we know that and our salaries reflect it.

Covered Premiums

After 2 years with adMind your entire premium is covered whether you're single or have multiple dependants.

2nd & 4th Fridays Off

Your read that right, you get the day off every 2nd and 4th Friday, every month forever.

Hybrid Working

We've adopted a hybrid working model where we have a mix of people working from home or remote or both.

FAQs

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Our Core Values

Extreme Ownership

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Radical Candor

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Growth Mindset

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Success Profile

To be a good fit at adMind and for your experience here to be a good fit for you, here is the mix of soft skills you’ll need.

Analytical
Problem Solver
Logical
Empathy
Teachable

Career Growth

Understanding Your Fit

Develop an understanding for where adMind fits in the market, and where you fit in adMind.

First 30 Days

Problem Sovling with Team

Begin participating in client problems and contributing ideas.

First 60 Days

Owning Your Own Projects

You are now taking on projects that you drive.

First 90 Days

Solving Problems on Your Own

You're now driving projects on your own and delivering milestones.

6 Months In

Complete Skills Mastery

Through applied skill development you are now mastering all the skills needed.

12 Months In

Evaluation Next Career Steps

Let's start talking about the next steps in your career.

18 Months In
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Take the Right Next Step

Don't settle for a career where you languish, take the opportunity to learn, grow and advance your career.