Sr. Data Engineer (476)
United States
Full Time Senior-level / Expert USD 110K - 160K
Amplify Consulting Partners
Simply put, we turn our words into action.
The Role
Amplify is looking for a 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.
What makes you a great fit?
- You’re an all-around data geek who finds satisfaction in solving data problems and creating orderly systems.
- 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.
- Your communication is clear and concise through every medium
- PTO – 3 weeks (accrual based)
- 10 observed holidays
- Medical/dental/vision – employee is covered at 100%, dependents are subsidized
- Parental leave, short-term disability, long-term disability, and life insurance options
- Student loan payback program
- Mentorship and training opportunities
- Business and employee referral bonus opportunities
Tags: Architecture Consulting Databricks Data pipelines dbt Engineering Excel FiveTran Looker Machine Learning Matillion ML models Pipelines Power BI Rivery Snowflake SQL Tableau
Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus Startup environment
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