Sr. Data Engineer - Python

About Terakeet

We are a 100% remote organization with an intentional approach to our Talent Acquisition. While remaining remote, our team is looking to concentrate our hiring in specific locations to better create opportunities for future connectivity and collaboration in-person, for when we might want some time together. Please take a look at the top of this job description to see which areas we are hiring in for this role. This is not hybrid or in-office work in disguise. This is giving you and your future colleagues in your area the opportunity to work together face to face if you would benefit from that.

Terakeet is the preferred Owned Asset Optimization (OAO) partner for Fortune 500 brands seeking online business growth. Our mission and purpose are to bring brands and their audiences together to create meaningful connections. As an organization that knows our people are our greatest asset, we believe in creating a culture based on engagement, growth and fulfillment. That's why our values of Teamwork, Grit, Excellence, Impact, and Partnership guide our hiring and employment philosophy.

Why Terakeet?

At Terakeet, we're comfortable with the uncomfortable. We live in the future of marketing and are revolutionizing how the world's most valuable brands connect with their audiences. We are experts who deliver exceptional outcomes. Together, we win. This is a remote position.

Essential Functions

As a Senior Data Engineer at Terakeet, you will spearhead new data engineering projects by collaborating closely with cross-functional teams to enhance our data platform with innovative capabilities supporting advanced analytics and data-driven decision-making. In this role you will guide technical planning and execution of projects, mentor engineers, address complex challenges efficiently, and champion the adoption of emerging technologies to elevate our data infrastructure.

Here at Terakeet, we pride ourselves on having developed a succession of highly effective, innovative, influencer marketing and search engine optimization applications. These systems support our work for an impressive customer portfolio of top companies nationwide, ranging from well-known new economy brands to Fortune 100 brands. This is an opportunity to get involved in a nationally respected company that continues to innovate and grow.

Responsibilities

• Be the technical lead on data engineering projects able to work independently with minimal guidance from managers.
• Collaborate with software engineers, data analysts and data scientists to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products.
• Lead team discussions to define technical requirements on new and current products.
• Conduct code reviews, develop high-quality documentation, and build robust test suites.
• Respond to and troubleshoot highly complex problems quickly, efficiently, and effectively.
• Research and scope new technologies to be used in data stack.
• Mentor data engineers on both Python and data best practices.

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.

Qualifications

• BA/BS in Computer Science or equivalent.
• Must have 5+ years of relevant employment experience.
• Must have advanced to expert proficiency in Python, especially Pytest/Unittest and Pandas.
• Must have a strong understanding of Software Engineering principles, e.g. SOLID, SRP, etc.
• Proven leadership of data projects from conception to delivery.
• Strong proficiency in SQL and OLAP modeling principles.
• Advanced proficiency in Snowflake or Databricks.
• Working experience building ETL/ELT pipelines.
• Strong technical proficiency deploying to or operating infrastructure tools like Prefect, Airflow, or equivalent.
• Strong communication skills and leadership skills.
• Comfortable working in a highly collaborative environment.
• Process oriented with great documentation skills.

Preferred Candidates Will Have

• Strong understanding of data modeling principles including dimensional modeling, data normalization principles.
• Ability to translate business needs into technical assignments and project plans.
• Experience mentoring junior data engineers and providing leadership while completing a project.
• Strong familiarity with data exploration/visualization tools like Tableau, Looker, Chartio, etc.
• Advanced experience working in Snowflake.
• Advanced experience working with traditional relational databases and/or distributed systems (Postgres, MySQL, MSSQL, etc)
• Deep knowledge of distributed systems for analytical processing (Hadoop/Hive, Spark/PySpark, etc)
• Additional experience in an analytical field such as economics, mathematics, or statistics.

Pay Transparency

The salary range for this role is $115,000 to $173,000.*This salary range is based off of the market pay for all of the United States; Terakeet applies a multiplier to this range based upon the specific geographic location of a job candidate*

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.