Digital Remedy

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Digital Remedy is a Performance Marketing Partner for brands & agencies, headquartered in New York City, that specializes in helping marketers deliver more outcomes and higher ROI on their media investments. Digital Remedy can offer access, measurement, and optimization across all major media channels with a specialty in Performance CTV. Performance CTV offers brands and agencies access to premium streaming services like Hulu and Sling TV while tracking and optimizing toward KPI’s like return on ad speed or actions taken by the consumer. Performance CTV has been recognized by the Drum and Digiday for product excellence and was recently named Digiday’s Best New Streaming Advertising Platform and has seen exponential growth and adoption across Tier 1 brands and agencies, including several Fortune 500 companies. Our 20 years of investment building performance marketing solutions means we are best positioned to offer our clients a better way to deliver outcomes from their media.

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About the role

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Digital Remedy is looking for a savvy Senior Data Solutions Engineer to join our growing team of analytics experts. As a Senior Data Solutions Engineer you will help mentor and coach others on the data team around best practices as well as being responsible for designs, builds, maintaining and troubleshooting data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity and ever improving efficiency for these critical enterprise systems. The right candidate will be excited by the prospect of optimizing our company’s data architecture to support our next generation of products and data initiatives.

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What you'll do

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• Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex data ecosystems.
• Design and plan a cloud solution to maintain an optimal data pipeline architecture.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Model business processes for analysis and optimization.  
• Comfortable taking ownership of projects and showcasing key accomplishments.  
• Strives for continued learning opportunities to build on craft.

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Qualifications

• We are seeking a highly skilled and experienced Data Engineer with a minimum of at least 2 years of hands-on experience in building and optimizing data solutions.
• Proven ability to write complex SQL queries and Python scripts for data manipulation and analysis.
• Expertise in optimizing large-scale data pipelines, architectures, and datasets, demonstrating a strong understanding of performance tuning and scalability.
• Deep understanding and practical experience with Google Cloud Platform's big data tools and services, including: Dataflow, Dataplex, BigQuery, ML, Cloud Storage.
• Working knowledge of stream and batch data processing methodologies.
• Experience with other highly scalable big data processing & storage solutions.
• Experience implementing data security measures, including data privacy regulations, access controls, encryption, and data masking techniques.
• Ability to design and implement processes for data transformation, data structuring, metadata management, dependency tracking, and workload management.
• Strong project management and organizational skills.
• Proven ability to collaborate effectively with cross-functional teams in a fast-paced environment.
• Experience in the Digital Marketing, Advertising, Media, or Ad Tech industries (highly desirable).
• Preferred candidates will be located in the Eastern or Central time zones.

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Salary Range

The expected salary range for this position is $75,000 to $85,000. This position is full-time, includes benefits with work occurring during typical weekday business hours. Applicants must be eligible to work in the U.S.

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This is a good faith estimate of what we expect to pay for this position. The final salary will consider a person's experience, accomplishments and location. We are committed to paying our employees equitably, and these ranges should not be considered career salary limits or caps.

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Digital Remedy does not discriminate in employment matters on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class.

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We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.