Marketing Data Engineer

Team Sparq is committed to creating high-quality tech careers while helping clients accelerate their digital transformation journey. We are committed to being an inclusive workplace, maintaining a culture of equitable, diverse employment and advancement company-wide.

*C2C is not available*

*Must be authorized to work in the U.S. without sponsorship*

Why you will enjoy Mondays again:

• Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment

• Progressive career journey and opportunity for advancement

• Continuous development through training and mentorship programs

• Exposure to modern technologies across various industries in an agile environment

• Flexibility to work remotely, onsite or a hybrid of both as desired

• Opportunity to give back in your local community

• Competitive salary + bonus opportunities

• Robust benefits package, matching 401(k) plan, and substantial PTO

• Tuition reimbursement

A Day in the Life:

We are looking for a Marketing focused Data Engineer to join our Analytics team. In this role, you’ll build data pipelines and models primarily with newer technologies like Matillion, Snowflake & DBT. Knowledge of Fivetran or Rivery is a bonus. Regardless of the tools, you’ll work with a solution architect to devise modular code and metadata-driven processes that are easy to scale and easy to understand. Any given project will involve a mix of technical and non-technical stakeholders, so you’ll also communicate and document your work for a range of audiences. You’ll allocate most of your time and energy on hands-on client work. However, if your ambitions include scoping projects, honing technical best practices, or developing new business, then we’ll ensure you have opportunities to test the waters. You will help build state-of-the-art pipelines data models, and ML Models that are at the heart of the decision-making process. The successful candidate will bring an attention to detail along with modern engineering practices and help us build a high quality, modern data architecture at scale.

• You’re an all-around data geek who finds satisfaction in solving data problems and creating orderly systems.
  
• Familiarity with Google Analytics, Adobe Analytics, Marketo, Marketing Cloud, mobile data
  
• Output is for marketing leadership; ideal if the candidate has worked directly with marketing leaders
  
• You’ve spent years writing complex SQL queries on a daily basis and have mastered the art of turning plain-English business requirements into SQL.
  
• You have your Snowpro Certification
  
• You’ve built production data models from scratch following (or inspired by) a star schema.
  
• You have at least a working knowledge of DBT, Matillion and/or Snowflake, and are eager to dive deeper into additional technologies like Fivetran, Databricks, Synapse, and Data Factory
  
• You aren’t necessarily a visualization expert, but you’ve spent enough time in reporting tools (like Power BI, Tableau, or Looker) to understand how they interact with data models.
  
• You have a knowledge of marketing analytics and combining revenue to marketing campaigns from disparate data sources
  
• You’ve at least dabbled in a scripting language (including procedural SQL) and can share examples of tasks you’ve automated.
  

What it takes:

• Consultative approach to successfully interact with clients

• Ability to perform project oversight and execution of deliverables

• Flexibility to adapt within a high-growth organization

• Hunger for continuous learning and professional development

• Problem solving skills to tackle business challenges

• Intellectual curiosity to provide creative solutions

• Full understanding of the software development life cycle

• Ability to positively impact members in the development center and local communities through effective leadership, presentations, coaching, etc. 

• Desire to work in a team environment

• Good interpersonal, written and verbal communication skills

Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.

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