Data Engineer
Posted 1 week ago by 1756366375
Negotiable
Outside
Remote
USA
Summary: We are seeking an experienced Data Engineer to join our Intelligence Pillar, focusing on building a data platform for Attribution and Measurement initiatives. This role involves designing scalable data models, creating robust data pipelines, and collaborating with various teams to optimize data infrastructure. The Data Engineer will play a crucial role in enhancing our understanding of advertising performance and supporting strategic business decisions.
Key Responsibilities:
- Design and develop high-performance, scalable, and reliable data models for our attribution and measurement platforms.
- Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
- Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources.
- Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture for critical measurement needs.
- Implement and promote best practices for data governance, data quality, and data security.
- Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.
- Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
- Contribute to the overall architecture and strategy of our data platform.
Key Skills:
- 3-5 years of hands-on data engineering experience, with a strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.
- A strong collaborator who thrives in a cross-functional setting, effectively communicating technical concepts to diverse audiences.
- Strong SQL skills, including complex joins, aggregations, and performance tuning.
- Experience working with semantic layers and data modeling for analytics.
- Solid understanding of data analysis and visualization best practices.
- Passionate about data quality and governance, with an eye for detail and a commitment to maintaining data integrity.
- Experience using version control systems, preferably Git.
- Excellent communication skills and the ability to work cross-functionally.
- Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift).
- Experience working in cloud environments such as AWS, Google Cloud Platform, or Azure (nice to have).
- Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker.
- Experience working in agile data teams and managing BI projects.
- Familiarity with dbt or other data transformation frameworks.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Title: Data Engineer
Location: 100% Remote
Durations: 12 Months
Summary:
Location: 100% Remote
Durations: 12 Months
Summary:
- We are looking for an experienced and highly motivated Data Engineer to join our Intelligence Pillar where you'll be instrumental in building out the data platform that powers our Attribution and Measurement initiatives. In this pivotal role, you'll be responsible for designing and implementing scalable data models, building robust data pipelines, and empowering teams across the organization with self-service data
capabilities. - You'll collaborate closely with stakeholders across data, engineering, and business teams to develop and optimize our data infrastructure, while establishing best practices for data modeling, governance, and data products. Your work will directly impact our ability to understand advertising performance and drive strategic business decisions.
- Design and develop high-performance, scalable, and reliable data models for our attribution and measurement platforms.
- Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
- Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources
- Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture for critical measurement needs
- Implement and promote best practices for data governance, data
quality, and data security. - Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.
- Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
- Contribute to the overall architecture and strategy of our data platform.
Who you are:
- 3 5 years of hands-on data engineering experience, with a strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.
- A strong collaborator who thrives in a cross-functional setting, effectively communicating technical concepts to diverse audiences.
- Strong SQL skills, including complex joins, aggregations, and performance tuning.
- Experience working with semantic layers and data modeling for analytics.
- Solid understanding of data analysis and visualization best practices
- Passionate about data quality and governance, with an eye for detail and a commitment to maintaining data integrity.
- Experience using version control systems, preferably Git.
- Excellent communication skills and the ability to work cross-functionally.
- Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift).
- Experience working in cloud environments such as AWS, Google Cloud Platform, or Azure (nice to have).
- Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker.
- Experience working in agile data teams and managing BI projects.
- Familiarity with dbt or other data transformation frameworks.