Data Engineer

CosmoProf

$80K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in a related technical field (e.g., Computer Science, Data Science).
  • 0–2 years of relevant data engineering or software development experience.
  • Basic knowledge of SQL and relational databases.
  • Fundamental programming skills in Python or Java.
  • Familiarity with data engineering tools like Data Bricks and Apache Spark preferred.

Responsibilities

  • Develop and maintain ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL.
  • Assist in building Delta Lake tables and implementing Medallion Architecture.
  • Create data transformations utilizing PySpark and SQL.
  • Support data ingestion from various enterprise sources and APIs.
  • Execute data validation, cleansing, and quality assurance tasks.
  • Monitor data pipelines and resolve processing issues promptly.
  • Document data processes and workflows effectively.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Paid vacation, sick days, and holidays.
  • Tuition reimbursement program.
  • 401(k) with company matching contributions.
  • Access to in-house salon services and corporate campus food options.
Full Job Description
JOB DESCRIPTION

Data Engineer

This position is hybrid working from our Legacy West Support Center located in Plano Texas. 

About the role

This is a hybrid position working from our Legacy West Support Center in Plano, Texas.

The Data Engineer is responsible for supporting the design, development, and maintenance of enterprise data solutions on the Data Bricks Lake House Platform. This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting, analytics, artificial intelligence (AI), and machine learning (ML) initiatives. The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices.

Responsibilities

  • Develop and maintain ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL.
  • Assist with building and supporting Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).
  • Develop data transformations using PySpark and SQL.
  • Support ingestion of data from enterprise applications, APIs, databases, and cloud storage.
  • Perform data validation, cleansing, and quality assurance activities.
  • Monitor data pipelines and troubleshoot processing issues.
  • Create and maintain technical documentation for data processes and workflows.
  • Assist with implementing data governance, security, and data quality standards.
  • Support reporting, analytics, and business intelligence initiatives.
  • Participate in Agile planning, sprint reviews, and team meetings.
  • Collaborate with senior engineers to implement scalable and reliable data solutions.
  • Continuously learn new technologies and data engineering best practices.

Knowledge, skills & abilities requirement

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, or a related technical field.
  • 0–2 years of experience in data engineering, software development, analytics, or related technical experience.
  • Internship, co-op, research, or academic project experience in data engineering, cloud computing, or software development preferred.
  • Basic knowledge of SQL and relational databases.
  • Basic programming experience with Python or Java.
  • Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects preferred.
  • Familiarity with Git or other version control systems is a plus.
  • Strong analytical and problem-solving skills.
  • Ability to learn new technologies quickly and work effectively in a collaborative environment.

     

Competencies & attributes

  • SQL Development
  • Python Programming
  • Data Transformation and Validation
  • Data Modeling Fundamentals
  • Version Control (Git)
  • Business Intelligence Concepts
  • Data Quality and Data Governance Awareness
  • Analytical and Critical Thinking
  • Problem Solving
  • Written and Verbal Communication
  • Teamwork and Collaboration
  • Time Management and Organization
  • Attention to Detail
  • Adaptability and Continuous Learning
  • Customer Focus
  • Initiative and Accountability

 

 

 Working conditions & physical requirements

  • The work environment involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated.
  • The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items such as papers, files, books, small parts; using a keyboard, driving an automobile, etc. No special physical demands are required to perform the work.

     

Benefits

We offer a competitive salary and outstanding benefits package that includes medical, dental, vision, life Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with company match. In addition, associates of SBH may take advantage of our in-house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!

#LI-Hybrid

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