Data Engineer

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $120k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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👻 Ghost score 0%

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Resonate

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

Marketing

Resonate is an advertising services company founded in 2008, focused on empowering brands and agencies through deep consumer intelligence. Their AI-driven platform offers actionable consumer data for a post-cookie environment, enabling businesses to understand the values and motivations behind consumer behavior. By emphasizing a people-centric approach, Resonate helps organizations craft meaningful engagements and enhance customer experiences through advanced marketing analytics, attitudinal targeting, and effective media activation. The company has received accolades for its innovative analytics platform and commitment to fostering strong relationships between brands and consumers.

📋 Description

• Design, develop, and maintain ETL/ELT pipelines powering the Resonate business using Spark and Scala on AWS EMR • Work with terabyte-scale datasets across S3 and Snowflake • Tune multi-terabyte and petabyte-scale Spark applications for performance and cost • Debug production-scale big data problems • Partner with senior engineers and product management to take product requests from design and planning through production • Monitor pipeline health in Grafana • Track down and resolve data quality issues at their source • Write clean, testable code with thorough unit and integration tests • Use Gen AI tools across pipeline development, monitoring, and daily engineering work • Participate in code reviews, technical design discussions, and sprint planning • Contribute to architecture decisions • Support production operations, including on-call rotation and incident response

🎯 Requirements

• Around five years or more of professional experience in software engineering, data engineering, or a closely related field • At least three years hands-on with Spark and Scala, specifically the DataFrame and Dataset APIs • Proven experience tuning Spark applications at multi-terabyte or petabyte scale • Real debugging and problem-solving experience in the big data ecosystem, including production failures • Solid relational database experience • Working knowledge of AWS (EMR, S3, Lambda), Kafka, Snowflake, Grafana, Hadoop, Elastic Stack, and Docker • Strong grasp of the full software development lifecycle, from exploration and design through production delivery • Good instincts on solution architecture, data structures, and data modeling • Enthusiasm for using generative AI to accelerate data engineering work • Hands-on experience building and maintaining big data pipelines with Gen AI • Experience using probabilistic data structures • Track record of implementing high cardinality data systems at scale • Bachelor's degree in computer science, computer engineering, or equivalent experience is a strong signal

🏖️ Benefits

• Annual bonus program tied to company performance • Medical, dental, and vision coverage, including HSA • Company-paid disability and life insurance with a life insurance buy-up option • 401(k) with company match • Flexible PTO plus 10 paid holidays • Paid parental leave • Access to wellbeing and employee assistance programs, including free and unlimited access to 20+ health professionals and wellbeing coaches for you and your family members • Remote-first environment with genuine flexibility • Occasional travel for company and client events

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