Data Engineer

Quick Facts

• Role: Data Engineer

• Focus: Large-scale analytics and data platforms for audience measurement and advertising analytics

• Work style: Fully remote, office, or hybrid

Description

You will develop data-driven audience measurement and advertising analytics solutions using connected-device and media consumption data. In this role, you validate reporting outputs, troubleshoot pipeline behavior and data anomalies, and orchestrate partner data ingestion workflows with Airflow. You will also support data quality checks and identity resolution match testing across ingestion pipelines.

Responsibilities

• Serve as the primary Data Engineering point of contact for report questions (data availability, metric discrepancies, pipeline behavior)

• Write and execute SQL queries (BigQuery, PostgreSQL) to validate outputs, isolate anomalies, and confirm fixes

• Reproduce and document data issues; coordinate with the core DE team for resolution

• Support ad hoc data pulls and validation requests for reporting products

• Set up and configure cloud environments for partner data delivery (AWS S3 buckets, IAM policies, SFTP endpoints)

• Write and maintain Airflow DAGs (Python) to orchestrate ingestion workflows (scheduling, alerting, dependencies)

• Coordinate with external partners on file format specifications, delivery schedules, and test dataset requests

• Execute match tests to validate identity resolution across ingestion pipelines

• Identify and flag data quality issues in partner files before they reach production pipelines

Requirements

• 3+ years of experience as a Data Engineer

• Hands-on production experience on AWS or Databricks

• Strong production SQL with BigQuery and/or PostgreSQL

• Python at production quality

• Apache Airflow DAG authoring

• Distributed processing in production; workflow orchestration

• API-first services; experience with streaming or event-driven systems

• Bachelor’s degree in a technical field (or equivalent)

• English level Upper-Intermediate and above

Benefits

• Fully remote or hybrid/office work options

• Mentoring and adaptation for new employees

• Professional, financial, and career growth

• Bonus opportunity up to an additional 1,000 USD/month based on expertise

• Corporate training portal with continuously updated content

• Certification compensation (AWS, PMP, etc.)

• Private health insurance and sports activity compensation

• Referral program and additional corporate perks (events, fruits/coffee/snacks/movies)