AI Data Engineer

Payrate: $60.00 - $65.00/hr. Summary: Join us as an Analytics Engineer and be an architect of our data-driven future. We are seeking a strategic thinker who will combine their technical expertise with a deep understanding of the business to deliver solutions which transform raw gaming data into actionable insights and data products. You will build robust pipelines, well-crafted data models, and innovative data products to drive impactful outcomes. You will prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions. To be successful, we collaborate with data scientists, analysts, data engineers, game teams and stakeholders at the pace of our business. Our team is passionate about our mission, embracing challenges with a growth mindset, and continuously leveling up. Responsibilities: • Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access. • Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements. • Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs. • Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information. • Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission. Desired Skills: • Solid Data engineer skills and experience but also comfortable working with the business, data profiling and analysis, experience with video games important, working with large volumes of streaming data. • Data modeling skills and experience. • Self-starter. Creative problem solver. Qualifications: • Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 2+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work • Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 1+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work • 1+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems. Preferred Qualifications: • Critical thinker and problem solver who brings a creative and open mindset to each situation. • Experience building and optimizing analytic solutions and data products which deliver significant business impact. • Data analysis and exploration skills to identify, select and prepare data or metadata for analytics. • Business acumen to understand and address business challenges through analytics engineering. • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred. • Strong Python skills for data processing combined with a pythonic mindset. Proficient SQL. • Knowledge of DevOps and DataOps. • Video game domain knowledge is important - as an experienced Player or industry veteran. Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $65.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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