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TELECOMMUTE Performance Marketing - Integration OR Data Engineer

Trigint Solutions
United States
6 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Query Performance Application Programming Interfaces (APIs) Airflow Extract Transform Load (ETL) Data Transformation Data Warehousing Standard Sql Data Streaming Systems Integration Google Cloud Google Bigquery Restful APIs
+4 more
Webhooks Data Pipelines Api Management Serverless Computing

Requirements

  • Strong SQL & Data Warehousing: Advanced proficiency in Google BigQuery (data modeling, query performance, partitioning).
  • Product Feed Management: Experience managing and transforming product catalogs using Feedonomics.
  • Ad & Marketing Channel Integrations: Direct experience setting up conversion APIs and feeds for Meta, Google, TikTok, Impact, Pinterest, etc.
  • Reverse ETL & Activation: Experience configuring and troubleshooting syncs and data pipelines in Hightouch.
  • API Integrations & Custom Pipelines: Hands-on experience building and consuming REST APIs, webhooks, and S2S data flows.

Nice to Have

  • Google Cloud Platform Infrastructure: Exposure to Google Cloud Platform serverless services (Cloud Run, Cloud Functions, Pub/Sub).
  • Data Transformation & Orchestration : Hands-on experience with Dataform for Google Cloud Platform-native modeling and Dagster for pipeline orchestration.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:28 min

Synchronizing database webhook triggers with pipeline webhooks

Bobur Umurzokov · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann +2 · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

5:19 min

Executing queries and scheduling pipeline jobs within DataWorks

Qiyang Duan · LIVE

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client thumbnail
30:28
World Congress 2026 Europe • about 2 months ago

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client

Max Fischer, Michael O'Toole

Beyond Webhooks: The Future of Scalable API Event Delivery thumbnail
26:04
World Congress 2026 Europe • about 2 months ago

Beyond Webhooks: The Future of Scalable API Event Delivery

Phil Leggetter

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse thumbnail
23:38
World Congress 2026 Europe • about 2 months ago

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse

Hellmar Becker

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