Data Engineer II — Build Scalable Industrial Data Pipelines

Cognite; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology company specializing in data solutions is seeking a Data Engineer II in Houston, TX. The role involves designing and implementing data infrastructure and creating best-in-class data pipelines. Candidates should have 4+ years of experience, a strong passion for coding, and familiarity with data technologies such as SQL and Python. An educational background in computer science is required, along with the ability to work closely with clients to translate their needs into innovative data solutions. Competitive salary and a collaborative work environment are offered.

Qualifications

• 4+ years of experience in a data-intense role.
• Experience in Oil & Gas or Manufacturing is an advantage.
• Loves to code, passion for coding, and enjoys sharing that knowledge with others.
• Strong understanding of data analysis or data science.
• Ability to work on both internal and external client-facing projects.

Responsibilities

• Design, develop and implement data infrastructure and best-in-class pipelines.
• Partner with Solution Architects to understand client requirements.
• Develop custom extractors using backend technologies.
• Create custom data models for data discovery, mapping, and cleansing.
• Prototype data visualization and dashboards.

Skills

Coding

Data analysis

Data science

SQL

Python

ETL processes

Education

BS or MS degree in computer science or related field

Tools

Spark

Kafka

Docker

Job description

A technology company specializing in data solutions is seeking a Data Engineer II in Houston, TX. The role involves designing and implementing data infrastructure and creating best-in-class data pipelines. Candidates should have 4+ years of experience, a strong passion for coding, and familiarity with data technologies such as SQL and Python. An educational background in computer science is required, along with the ability to work closely with clients to translate their needs into innovative data solutions. Competitive salary and a collaborative work environment are offered.