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Senior Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Straive
Full Time position
Listed on 2026-07-22
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

SG Analytics a Straive company is a leading data, analytics, and AI services firm delivering end-to-end consulting and delivery solutions to global clients. Our Data, Analytics & AI vertical partners with enterprises to unlock value through advanced analytics, machine learning, and AI-driven transformation.

About the Role

We are looking for an experienced Senior Data Engineer with deep expertise in Databricks, PySpark, and AWS. The ideal candidate will have a strong understanding of media measurement datasets (Nielsen) and a proven ability to lead multiple concurrent projects across onsite and offshore teams. This role requires a senior technical leader to define architecture, manage delivery, and mentor teams within the fast-paced New York media industry.

Key Responsibilities
  • Architect and deliver enterprise‑scale data platforms using Databricks, PySpark, Delta Lake, and AWS. Lead the development of media analytics pipelines, including the ingestion and modeling of Nielsen data.
  • Manage scope, timelines, and risks for multiple simultaneous projects. Collaborate with New York-based stakeholders and drive sprint delivery.
  • Act as the primary technical lead onsite, coordinating with offshore teams to ensure alignment, quality, and continuity.
  • Mentor junior and mid‑level engineers through code reviews and architectural guidance.
Required Skills and Experience
  • Databricks:
    Delta Lake, Workflows, Unity Catalog, Notebooks, and SQL.
  • Data Processing:
    Strong PySpark and distributed computing experience.
  • AWS: S3, EMR, Glue, Lambda, Step Functions, Kinesis, and IAM.
  • Leadership:
    Experience leading large data engineering programs and managing senior stakeholders.
  • Work experience:

    7+ years in Data Engineering.
Good to Have
  • Knowledge of Snowflake, Airflow, or Dagster.
  • Infrastructure as Code (Terraform / Cloud Formation).
  • Exposure to ad‑tech ecosystems (Comscore, Kantar, IAS, Moat) or ML feature pipelines.
Soft Skills
  • Strong decision‑making and ownership mindset.
  • Exceptional communication skills for interacting with senior business stakeholders.
  • Strategic, problem‑solving, and delivery‑focused approach.
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Position Requirements
10+ Years work experience
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