AI Data Engineer 2
Bucher & Christian Consulting, Inc. dba BCforward (BCF)
Redmond, WA(remote)
JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Skills, Cloud Computing, Computer Engineering, Computer Science, Data Analysis, Data Cleaning, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Documentation, Establish Priorities, Games Programming, Gaming, Machine Learning, Metadata, Microsoft Windows Azure, Needs Assessment, Object Oriented (OO), Problem Solving Skills, Python Programming/Scripting Language, Requirements Management, Software Development, Software Engineering, Structured Data, Usability Engineering
ADDITIONAL COMPENSATION
0
LOCATION
Redmond, WA
POSTED
30+ days ago
Bcforward is currently seeking a highly motivated AI Data Engineer 2 for an opportunity at Redmond, GA.
Position Title: AI Data Engineer 2
Location: Remote
Anticipated Start Date: ASAP
Please note this is the target date and it is subject to change. Bcforward will send official notice ahead of a confirmed start date.
Expected Duration: 6 Months
Job Type: Contract
Pay Range $60- $65/hr
Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.).
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.
Required:
* 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:
* 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. Profic
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About the Company
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