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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Solutions Engineer - **Company:** EAGLE EYE SOLUTIONS LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Big Data, BigQuery, Program Optimization, Information Engineering, Data Integration, Data Integrity, Data Systems, Python (Programming Language), Performance Tuning, Data Streaming, Google Cloud, Apache Spark, Os Ticket, Information Technology, Data Analytics, Data Pipelines - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1fc6ab68537357ac ## About the Role Do you have experience in Spark implementation?, Do you have a Master's degree?, * Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions. * An autonomous worker, ready to be the first North American member of the team while maintaining close ties with European colleagues. * A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders. * Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity. * Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach. * Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance., * 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment. * A Master's degree (or equivalent) in Computer Science, Data Engineering, or a related field. * Deep hands-on experience with Python and/or Scala. * Proven expertise using Spark for large-scale data processing. * Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery. * A solid foundation in data engineering principles, including data pipeline design and system optimization. * A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance. ## Description As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients. You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value. You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams. The team "Personalized Challenges" is currently Europe-based and you will be the first North-America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago.. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC. Requirements Role Breakdown & Focus This role is intentionally hybrid: * Hands-on Data Engineering - 60% * Continuous Optimization of Data-Driven Systems - 30% * Client-facing Technical Support & Ticket Resolution - 10% Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets. Key responsibilities Platform Deployment & Data Integration * Deploy and configure our platform for new clients * Integrate client data pipelines into our data stack * Ensure data quality, consistency, and reliability across incoming and outgoing data flows Production Support & Ticket Management * Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior * Act as a technical escalation point for Customer Success teams * Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues Continuous Optimization & Performance Improvement * Analyze system and algorithm performance using metrics, logs, and experimentation * Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations * Collaborate with Product and Data Science teams to prioritize and roll out improvements * Design and analyze A/B tests to measure the impact of changes ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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