BI Data Engineer III

About the Role

Key Responsibilities

• Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
• Solves complex data problems to deliver insights that help the business achieve its goals.
• Architects and implements end-to-end data solutions.
• Defines data engineering best practices and standards.
• Mentors junior engineers and collaborates with cross-functional teams.
• Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
• Engineers effective features for modeling in close collaboration with data scientists and businesses.
• Leads the evaluation, implementation, and deployment of emerging tools and processes for analytics data engineering to improve productivity and quality.
• Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Fosters a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions.
• Advises, consults, mentors, and coaches other data and analytic professionals on data standards and practices.
• Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
• Understands machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to conduct role effectively.
• Performs other duties as assigned.

Requirements

• Bachelor's degree in computer science, statistics, engineering, or a related field.
• 7 plus years of experience in data engineering or related roles.
• Deep understanding of distributed computing, data architecture, and scalability.
• Strong critical thinking skills and ability to address big data challenges.
• Leadership and project management abilities.
• Proficiency in designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, Redshift, and Snowflake.
• Experience with building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem).
• Proficiency in Software Engineering fundamentals and tooling (e.g., Git, CI/CD, JIRA) and familiarity with Linux and Bash/Z shell.
• Proficiency with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services.
• Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker).
• Expertise in ELT and data analysis, primarily SQL.
• Conceptual knowledge of data and analytics, such as dimensional modeling, reporting tools, data governance, and handling structured and unstructured data.

Nice to Have

• Experience with data science, machine learning, computer vision, or artificial intelligence.

Qualifications

• Bachelor's degree in a relevant field.
• 7+ years of experience in data engineering or related roles.

Benefits & Perks

• Life insurance, vision insurance, paid holidays, sick time, tuition reimbursement, 401(k), profit sharing.
• Day 1 benefits including medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance.
• Paid holidays, vacation time, and sick leave accrual from day one.
• Additional benefits such as pet insurance, maternity/paternity leave, employee assistance programs, discount programs, and tuition reimbursement.