BI Data Engineering Manager

McLane•Temple, TX

15d•Hybrid

About The Position

Moving America forward — together. We’ve been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. The BI Data Engineer Manager is a hybrid remote position which will require the candidate to report and work from the office four days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Position Overview: Plan, organize, and manage the activities of the Data Engineering team to provide an efficient and cost-effective data infrastructure for McLane Company and provide maximize productivity using technology. We are looking for a Cloud Data Engineering Manager with hands-on experience in Cloud technologies like\: Azure, Azure Data Factory, Databricks, Microsoft Fabric, PySpark, Spark, SQL, Notebook, and Airflow Orchestration and DevOps CI/CD experience. Benefits you can count on: Day 1 Benefits\: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance Paid holidays, earn vacation time, and sick leave accrual from day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits\: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

Requirements

Bachelor’s degree in computer science, statistics, engineering, or a related field.
Three or more years of managerial experience, budget, and purchase execution responsibility.
Five or more years of broad-based experience in data analysis, conceptualizations, modeling, reporting, data governance working with structured and unstructured data.
Five or more years’ experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.
Experience in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem)
Knowledge of Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell
Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space.
Strong written and verbal communication skills
Understanding of machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
Ability to work outside of normal business hours to support resolution of issues.
Ability to manage multiple projects simultaneously.

Responsibilities

Lead the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
Maintain an infrastructure that provides flexibility and responsiveness, while supporting the productivity needs of the business using secure, stable and comprehensive industry standard technology, methods and tools.
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT principles and business goals.
Solve complex data problems to delivers insights that helps business achieve its goals.
Create data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modelling in close collaboration with data scientists and businesses
Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
Provide up-to-date solutions that enable the business units to gain productivity and continue to become more competitive, including both on premise and cloud-based environments.
Implement, maintain, and validate Disaster Recover and Business Continuity procedures for storage and open system environments.
Provide Root Cause Analysis, including necessary remediation steps, for system issues resulting in unplanned business impact greater than 4 hours.
Perform other duties as assigned.