Senior Data Engineer

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

📋 Description

• Develop and expand the data infrastructure that supports a business intelligence platform.

• Design, manage, and improve pipelines that process billions of ad server, CRM, and related data events.

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

• Create ETL/ELT workflows that convert raw data into datasets ready for analytics.

• Design data models aimed at optimizing campaign performance, analyzing supply, allocating supply, and maximizing profits.

• Construct and sustain data warehouses and data lakes tailored for ad-tech query requirements.

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

• Assist Executive, BI, and analytics teams by providing clean, well-documented, high-performance data infrastructure.

• Ensure compliance with GDPR and CCPA in all aspects of data collection, storage, and processing.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

• Strong expertise in Python and SQL.

• Practical experience with data warehouses: BigQuery, Snowflake, Redshift, ClickHouse.

• Familiarity with batch processing frameworks: Spark, dbt, Airflow.

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

• Experience with cloud platforms such as AWS and GCP.

• Background in infrastructure-as-code.

• Availability to work partial US hours, specifically until 2pm ET.

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

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

• Familiarity with revenue metrics such as CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Understanding of auction analytics, including bid landscape, floor optimization, and timeout analysis.

• Knowledge of demand partner performance metrics: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, and IVT.

• Awareness of supply chain data concerning ads.txt validation, sellers.json mapping, and SPO analysis.

• Experience with technologies such as Apache Spark, dbt, Apache Flink, BigQuery, Snowflake, ClickHouse, Redshift, Airflow, Dagster, Prefect, S3, GCS, Delta Lake, Parquet, AWS, GCP, Terraform, and Kubernetes.

• Scala experience is a plus.

• Experience with machine learning feature engineering for bid optimization or yield prediction is a bonus.

• Background in developing data products for publisher-side monetization is advantageous.

• Familiarity with privacy-preserving data techniques is beneficial.

• Experience with CTV/OTT advertising data and video ad metrics is an asset.

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

🏝️ Benefits

• Security through meticulous client vetting to reduce risks and ensure reliable and timely payments.

• Career support and assistance in finding new job opportunities.

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

• English language courses and opportunities for professional growth.

• Team-building activities.

• 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.