Data Engineer

Your Role at Batesville

As a Data Engineer
, you will be responsible for playing a key role in building and maintaining the enterprise data ecosystem, enabling data accessibility and supporting analytics initiatives. This position collaborates with cross-functional teams to design and implement scalable data solutions using modern tools and best practices

• Batesville is a family. You will be part of a family of highly committed associates who are passionate about our company, committed to our customers and excited about our future.
• The expected base salary range for this role is $70,000 to $100,000 per year. Actual compensation within this range will be based on a variety of factors, including but not limited to qualifications, skills, experience, and location.
• In addition to base salary, this position may be eligible for performance-based bonuses or other forms of incentive compensation.
• IMMEDIATE ELIGIBILITY – Comprehensive medical, dental and vision insurance, as well as prescription coverage, short-term disability, Employee Assistance Program (EAP), and more.
• Generous 401K Matching Program
• Paid time off
• Opportunities for development and advancement

• Design, implement, and maintain efficient data models architectures for enterprise use
• Develop, optimize, and maintain data pipelines for ingestion, transformation, and storage across on-premises and cloud environments
• Participate in modernization efforts, including transitioning from legacy ETL solutions to cloud-based frameworks
• Collaborate with IT, data science, and business intelligence teams to align data solutions with business objectives
• Implement and optimize ETL/ELT processes to integrate data from diverse sources (API, XML, JSON, Parquet, etc.)
• Ensure data quality, integrity, and security across all platforms and pipelines
• Create and maintain documentation for data models, architecture, and ETL processes
• Stay current with industry trends and emerging technologies

• Bachelor’s degree in computer science, Information Systems, or equivalent experience
• 3–5 years of experience in data engineering or related field

• Proficiency in SQL and experience with relational and non-relational databases
• Hands‑on experience with modern data engineering tools and cloud platforms (Azure preferred)
• Familiarity with ETL tools and frameworks; experience with Databricks, Fivetran, and Azure Data Factory is highly desirable
• Knowledge of data modeling, data warehousing concepts, and data governance best practices.
• Experience with programming languages such as Python or Scala
• Understanding of version control (Git) and Agile principles
• Strong problem‑solving and analytical skills
• Ability to work independently and collaboratively in cross‑functional teams

To perform this job successfully, the physical demands listed are representative of those that must be met by an employee. Reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions.

While performing the duties of this job, the employee is regularly required to sit, stand, walk, use hands to handle and feel, reach with hands and arms, talk, and hear. The employee may occasionally be required to crouch, or lift items as heavy as 25 lbs. This job may require the employee to see with clarity at both near and far distances.