People working in an office on computers.
Terakeet Logo

Terakeet

Sr. Data Engineer - Python

Job Posted 9 Days Ago Reposted 9 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
As a Senior Data Engineer, you will lead data engineering projects, collaborate with teams, mentor engineers, and enhance the data infrastructure with new technologies.
The summary above was generated by AI

Who We Are 

What We Do

Terakeet is the leading strategic partner for predictive and scalable online brand management programs for global brands. Using our proprietary technology and deep expertise, we convert insights into actions that solve the complex business challenges of the Fortune 500. Our award-winning approach connects brands with their audiences in moments that matter within both organic and generative search experiences — increasing brand affinity and driving efficient customer acquisition.

Where You Fit

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.

What We Need:

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

  • 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.

How We Evaluate:

Minimum Qualifications: 

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

Preferred candidates will also 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.

Where We Hire

We are a remote-first organization hiring specifically within 60 miles of of Chicago, IL., Dallas, TX., Austin, TX., Charlotte, NC.,  Atlanta, GA., Phoenix, AZ., Minneapolis, MN., and Syracuse, NY to help create opportunities for connectivity and collaboration in-person as you see fit. 

Pay Transparency

The salary range for this role is $114,000-$174,000. *This salary range is based on 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.  


Top Skills

Airflow
Databricks
Dbt
Hadoop
Hive
Looker
Olap
Prefect
Python
Snowflake
Spark
SQL
Tableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account