Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and enhance scalable data pipelines for advertising servers and related data sources.

• Ingest and standardize data from SSPs, DSPs, ad servers including GAM, and third-party reporting APIs.

• Develop ETL/ELT workflows to convert raw data into datasets ready for analytics.

• Create data models aimed at optimizing campaign performance, analyzing supply, managing supply allocations, and maximizing profit.

• Build and maintain data warehouses and lakes that are optimized for ad-tech query patterns.

• Implement data quality monitoring, validation, and anomaly detection for data streams.

• Provide support to Executive, BI, and analytics teams with clean, documented, and high-performing data infrastructure.

• Ensure compliance with GDPR and CCPA data privacy regulations in data collection, storage, and processing.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• At least 2 years of experience working with programmatic advertising and ad-tech data (GAM).

• Strong command of Python and SQL.

• Practical experience with data warehouses such as BigQuery, Snowflake, Redshift, and ClickHouse.

• Familiarity with batch processing frameworks like Spark, dbt, and Airflow.

• Understanding of ad-tech data structures including bid requests, impressions, OpenRTB schemas, and log-level data.

• Experience with cloud platforms such as AWS and GCP.

• Familiarity with infrastructure-as-code.

• Availability to work partial US hours and be reachable until 2pm ET.

• Knowledge of SSP reporting APIs and log-level data from Magnite, PubMatic, Index Exchange, and Xandr.

• Experience with Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Understanding of ad-tech revenue metrics including CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Knowledge of auction analytics such as bid landscape, floor optimization, and timeout analysis.

• Familiarity with demand partner performance metrics like SSP/bidder scoring, latency analysis, viewability, reach/frequency, and IVT.

• Understanding of supply-chain data, including ads.txt validation, sellers.json mapping, and SPO analysis.

• Scala experience is a plus.

• Experience in ML feature engineering for bid optimization or yield prediction is a plus.

• Background in publisher-side monetization data products is a plus.

• Familiarity with privacy-preserving data techniques is a plus.

• Experience with CTV/OTT advertising data and video ad metrics is a plus.

• Knowledge of identity resolution and cross-device data challenges is a plus.

🏝️ Benefits

• Secure work environment through client vetting to minimize risks and ensure reliable and timely payments.

• Career support and assistance in discovering new project opportunities.

• Legal assistance concerning independent contractor or sole proprietorship status, taxes, and related processes.

• Access to English courses and professional development opportunities.

• Participation in team-building events.

• Flexible working hours.

• 29 days of paid time off (18 working days per year plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.