Open Positions

Data Engineer

Summary: 

Terakeet is the preferred enterprise partner for Fortune 500 brands seeking online business growth. We’re also an employee-first organization — meaning we believe our most valuable asset is our people. That’s why we’re committed to hiring top talent and providing continuous career growth, stability, and fulfillment to our employees. Our 20+ years of success is a direct result of our team’s commitment to integrity, entrepreneurship, and collaboration. 

Why Terakeet? 

We believe you should work to live and not live to work. Our flexible hours and remote work opportunities allow our employees to create a work schedule that fits into their life. We also offer other competitive work-life benefits, including 100% fully paid medical premiums, 12 weeks of fully paid parental, family, or medical leave, generous PTO, Employee Assistance Programs, and matched retirement planning. Terakeet’s culture supports employees as people first, while also producing the best results for our customers and promoting community advancement.

Essential Functions

We are looking for a Data Engineer to join our engineering department and support our data scientists with accessing our large quantities of structured and unstructured data, improve automated tooling and data warehouse systems. Our scientists produce statistical and ML products supporting almost all of our deployed systems, including a public facing social platform, and multiple bespoke applications that support the fabric of our day-to-day operations. Our platforms operate across terabytes of data and dozens of servers.

Reasonable accommodations may be made to enable individuals with disabilities to perform the following essential functions:

  • Perform vetting, requirements gathering and implementation assistance in rolling out new BI and Dashboard tools.
  • Work with product teams and engineering to collect required data from internal and external systems.
  • Work directly with our data science team to automate common tasks and simplify data access.
  • Design table/data structures and define ETL strategies to build performant solutions that are reliable and scalable in a fast growing data ecosystem.
  • Develop automated quality assurance tests for source and target data sets as well as statistical or ML models used in production.

The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice. 

Preferred Education, Experience, and Skills

  • Strong understanding of data modeling principles including dimensional modeling, data normalization principles etc.
  • 2+ years experience using analytic SQL, working with traditional relational databases and/or distributed systems (Hadoop / Hive, Spark, MapReduce or equivalent).
  • 2+ years experience working with warehousing systems (Delta Lake, Snowflake or equivalent).
  • Familiarity with data exploration/visualization tools like Tableau, Looker, Chartio, etc.
  • Strong communication skills and comfortable working in a highly collaborative environment.
  • Process oriented with great documentation skills
  • Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4).
  • Strong proficiency in Python.
  • Proficiency in R.

EEO Statement

Terakeet provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law.  

 

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