BI Data Engineering Manager
Company: McLane Company
Location: Heidenheimer
Posted on: July 3, 2025
|
|
|
Job Description:
McLane is one of the largest and most stable supply chain
services leaders in the United States. We’ve been at the forefront
of delivering retail and restaurant solutions for convenience
stores, mass merchants, drug stores, and chain restaurants for over
125 years. Our vision is to be an agile, innovative, and unified
supply chain partner that delivers a superior customer experience,
improves the lives of our teammates and community, and produces
best-in-class returns. 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! Essential Job Functions/Principal
Accountabilities: 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. Minimum Skills & Qualifications:
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. Working Conditions: Office
environment Candidates may be subject to a background check and
drug screen, in accordance with applicable laws. All qualified
applicants will receive consideration for employment without regard
to race, color, religion, sex, sexual orientation, gender identity,
national origin, disability, or status as a protected veteran.
Keywords: McLane Company, Pflugerville , BI Data Engineering Manager, IT / Software / Systems , Heidenheimer, Texas
