Lowes Home Improvement

Sr Data Engineer, People Analytics - Remote

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Virtual
  • Experience: NA
  • No. of Positions: 1
  • Primary Skills: Engineering Teradata Oracle SQL Computer
  • Secondary Skills: Software SDLC IT
  • Job Location: Virtual, North Carolina
  • Posted Date: Posted today
Job Description

Job Description :
Lowe’s is able to offer remote employment of this position in the following states: AL, AR, AZ, CA(salaried roles only), CT, CO, DE, FL, GA, IA, ID, IL, IN, KS, KY, LA, MD, MA, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, WV, WY.

Job Summary
The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver modules, stable application systems, and Data or Platform solutions. This includes developing, configuring, or modifying complex integrated business and/or enterprise infrastructure or application solutions within various computing environments. This role facilitates the implementation and maintenance of complex business and enterprise Data or Platform solutions to ensure successful deployment of released applications.

Key Responsibilities

  • Translates complex cross-functional business requirements and functional specifications into logical program designs, modules, stable application systems, and data solutions; partners with Product Team to understand business needs and functional specifications
  • Collaborates with cross-functional teams to ensure specifications are converted into flexible, scalable, and maintainable solution designs; evaluates project deliverables to ensure they meet specifications and architectural standards
  • Guides development teams in the design and build of complex Data or Platform solutions and ensures that teams are in alignment with the architecture blueprint, standards, target state architecture, and strategies
  • Has solid grasp of software design patterns and approaches; understands application level software architecture; makes technical trade-off decisions at application level
  • Solves complex architecture/design and business problems; solutions are extensible; works to simplify, optimize, remove bottlenecks, etc.
  • Provides mentoring and guidance to more junior level engineers; may provide feedback and direction on specific engineering tasks

Data Engineering Responsibilities

  • Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability
  • Excels in one or more domains; understands pipelines and business metrics and develops expertise on cloud-based data stacks and pipeline development
  • Builds, tests and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various OKRs and metrics development with high data quality and integrity
  • Works with Data Science team to understand mathematical models and algorithms; recommends improvements to analytic methods, techniques, standards, policies and procedures; participates in continuous improvement activities including training opportunities; trains others
  • Works to ensure the manipulation and administration of data and systems are secure and in accordance with enterprise governance by staying compliant with industry best practices, enterprise standards, corporate policy and department procedures; handles the manipulation (extract, load, transform), data visualization, and administration of data and systems securely and in accordance with enterprise data governance standards
  • Maintains the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensures high availability of the platform; monitors workload demands; works with Infrastructure Engineering teams to maintain the data platform; serves as an SME of one or more application

BI Engineering Responsibilities

  • Executes the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics; use custom groups, consolidations, drilling, and complex filters
  • Excels in one or more domains; understands pipelines and business metrics and develops expertise on cloud-based BI stacks
  • Demonstrates database skill (Teradata/Oracle/Db2/Hadoop/SQL Server) by writing views for business requirements; uses freeform SQLs and pass-through functions; analyzes and finds errors from SQL generation; creates RSD and dashboard
  • Builds, tests and enhances BI solutions from a wide variety of sources like Teradata, Hive, Hbase, Google Big Query and File systems; develops solutions with optimized data performance and data security
  • Works with business analysts to understand requirements and create dashboard/report wireframes

Required Education/Experience

  • Bachelor’s Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
  • 5 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
  • 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)


Preferred Education/Experience

  • Master’s Degree in Computer Science, CIS, or related field
  • 5 years of IT experience developing and implementing business systems within an organization
  • 3 years of experience leading teams, with or without direct reports
  • 5 years of experience working with source code control systems
  • Experience working with Continuous Integration/Continuous Deployment tools
  • 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions
  • 3 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)



About Lowe’s:
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 20 million customers a week in the United States and Canada. With fiscal year 2020 sales of nearly $90 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.

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EEO Statement
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

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