Senior Analytics Engineer

Posted:
8/9/2024, 10:36:02 AM

Location(s):
New York, New York, United States ⋅ New York, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Everyday, our 600+ employees bring the power of their creativity and diversity to radically raising the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA,  Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In

Who We Hire

Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment. 

Title: Senior Analytics Engineer

Job Type: Full-time; In-Office Hybrid Required

Job Location: New York, NY

Salary Range: $130,000.00 - $150,000.00 OTE

The Opportunity

Kargo is looking for a Sr. Analytics Engineer with 5+ years experience building data pipelines to join the Analytics team. The successful candidate will have a strong background in data modeling, designing ETL pipelines, specifically with dbt,  and driving standards in data governance. As part of the Engineering Org at Kargo, the Analytics team is responsible for delivering insights across business, technical and product teams, and this position will work closely with data analysts and commercial teams to gather user requirements and translate them into technical deliverables. We are looking for someone who is passionate about building data solutions and can take ownership of designing a scalable architecture to support the growth of our infrastructure.

The Daily To-Do

  • You will lead the implementation of dbt as our data transformation layer and optimize our data architecture.
  • You will productionalize Extract, Transform, Load (ETL) pipelines and integrate new data sources in partnership with the analysts on the team.
  • You will collaborate with engineering and commercial teams to gather technical requirements and support the business needs of Kargo.
  • You will ensure data quality by developing processes to drive the accuracy and integrity of our datasets used for reporting.
  • You will be responsible for sharing your expertise and mentoring the junior analytics engineers on the team.

Qualifications : 

  • 5+ years in a data engineering or analytics engineering role
  • 1+ years of working with dbt
  • Solid understanding of data modeling techniques, warehousing, orchestration, pipeline and visualization solutions
  • Strong experience with SQL using Snowflake, BigQuery (or equivalent)
  • 1+ years of Python experience (Pandas, Python Standard Library, SQL Drivers)
  • Excellent communication skills, particularly when explaining technical or complex matters to less technical co-workers
  • Media company experience preferred

Follow Our Lead

  • Big Picture:  kargo.com
  • The Latest:  Instagram (@kargomobile) and LinkedIn (Kargo)