Data Ops Engineer- Lafayette, LA

Downhole Chemical Solutions

Lafayette (LA)

On-site

USD 65,000 - 80,000

Full time

14 days+
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Job summary

A specialized oil and gas chemical company in Lafayette, LA, is seeking a Data Engineer to build and manage data infrastructure. This role emphasizes creating and optimizing databases and ETL pipelines, while supporting industrial applications. Candidates should have a degree in Computer Science and experience in data engineering, as well as an understanding of industrial automation. A salary range of $65,000 to $80,000 will be offered based on experience.

Qualifications

  • Experience in data engineering or DataOps.
  • Exposure to industrial automation or control systems.
  • Ability to work in a dynamic environment.

Responsibilities

  • Design, build, optimize, and maintain databases and data infrastructure.
  • Develop and maintain ETL/ELT pipelines for datasets.
  • Partner with teams to design architecture for data initiatives.

Skills

Data engineering experience
SQL fundamentals
Industrial automation knowledge
Collaboration skills
Problem-solving skills

Education

Computer Science or related degree

Tools

RedLion Crimson
Microsoft Fabric
Azure Synapse

Job description

Downhole Chemical Solutions (DCS) is an Employee-Owned oil and gas chemical company specializing in hydraulic fracturing optimization through data-driven decision making. Founded in 2015, DCS focuses on being the best at a targeted set of solutions, supported by a strong culture of innovation in technology, operations, and engineering.

We are expanding our data engineering capabilities to support the next phase of our industrial technology roadmap.

This role will focus primarily on building and managing our data infrastructure—from databases and pipelines to near-real-time ingestion from industrial systems—while also contributing to the maintenance and development of our PLC / HMI applications (RedLion Crimson & IDEC).

This is an ideal position for a Data Engineer / DataOps engineer who has some exposure to industrial automation and wants to work closely with real-world hardware and operational technology.

Location Requirement: Candidates must currently reside in Lafayette, LA. Applications from individuals living outside the Lafayette area will not be considered.

65,000 – 80,000 annually - commensurate with experience

Responsibilities
  • Design, build, optimize, and maintain databases, data warehouses, and/or data lake environments
  • Develop and maintain ETL/ELT pipelines for ingesting industrial and operational datasets
  • Implement best practices for data quality, governance, access control, and observability
  • Improve performance and scalability of existing data infrastructure
  • Partner with engineering and operations teams to design architecture for future data initiatives
Industrial Programs & Controls Support
  • Maintain and enhance DCS’s industrial applications (RedLion Crimson HMI, IDEC PLC)
  • Troubleshoot issues with industrial programs and assist in root-cause analysis
  • Collaborate on feature updates or improvements to automation logic
  • Ensure data acquisition from field systems is reliable and well-integrated into DCS’s data platforms
Requirements
  • Computer Science, Computer Engineering or relevant degree
  • Demonstrated experience in data engineering or DataOps
  • Exposure to industrial automation or control systems (HMI/PLC/IPC, RedLion Crimson, Ignition, or comparable)
  • Strong SQL fundamentals and experience with relational databases
  • Ability to work in a fast-paced, dynamic work environment where deliverables and priorities change daily
  • Comfortable collaborating with technical and field teams
Desired Skills
  • Experience with ETL/ELT tools, pipeline orchestration, performance tuning, and query optimization
  • Working knowledge of cloud data technology (SQL Server/MySQL, Microsoft Fabric, Azure Synapse, or similar)
  • Experience with industrial data integration (OPC-UA, Modbus, or similar protocols)
  • Experience with version control, CI/CD, DevOps/DataOps practices
  • Willingness to learn industrial software (HMI/PLC/IPC) as needed
  • Creative mindset, innovative tendencies, and self-motivated work ethic
  • Strong analytical and problem-solving skills to debug and support existing applications
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