Senior Data Engineer

Overview

Remote
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

ELT
ETL
Data Engineering
SQL
Semantics
Extract
Transform
Load
Data Modeling
Data Processing
Golang
Data Governance
Ad-Tech
Petabyte
Ingestion
Extraction
Data
Backend Development
BigQuery
Snowflake
Redshift
Looker
Power BI
Tableau
aws
gcp
azure

Job Details

Contract Type: C2C, W2, 1099

Work Setup: Remote / Hybrid

Location: Mountain View, CA.

Email: paschal_g @ trigent .com

 

Join our Intelligence Pillar as a Data Engineer to enhance our data platform for Attribution and Measurement initiatives. You ll design scalable data models, develop efficient data pipelines, and enable self-service data tools for teams, with a focus on high-volume data processing in the ad-tech space.

 

Responsibilities:

  • Build high-performance data models for attribution and measurement platforms.

  • Develop and manage ETL/ELT pipelines for processing datasets at terabyte and petabyte scales

  • Collaborate with data and business teams to ensure consistent semantic layers and data sources.

  • Oversee pixel tracking solutions for reliable, low-latency data capture.

  • Implement data governance, quality, and security best practices.

  • Optimize data pipeline performance and resolve issues efficiently.

  • Contribute to the data platform s architecture and strategic direction.

 

Qualifications:

    • 3-6 years of data engineering experience, ideally in ad-tech or high-volume environments.

    • Highly preferred: Exposure to the advertising or ad-tech industry.

    • Proficient in SQL for complex queries and performance tuning.

    • Experienced with semantic layers, data modeling, and analytics.

    • Strong understanding of data governance and quality practices.

    • Familiar with version control systems, preferably Git.

    • Highly preferred: Backend development experience with Golang or Go.

    • Strong communication and cross-functional collaboration skills.

 
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