Azure Data Engineer - On-Site Houston, Data & Automation

CEDENT; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

CEDENT, based in Houston, is seeking an experienced Azure Data Engineer to design, implement, and optimize data pipelines in a on-site role. The candidate will work with modern data platforms to transform large datasets into actionable insights and ensure data quality and security.

You will collaborate with stakeholders, automate ETL/ELT workflows, and apply ML techniques to enhance data structures. A 10+ year track record in data engineering and strong SQL, Python, and cloud data tooling are

Qualifications

• Bachelor’s degree in Data Science, BI, Statistics, Computer Engineering or related field, or equivalent experience.
• 5+ years performing duties related to data engineering.
• Advanced English level.
• Expert proficiency in Python, SQL, NoSQL or R and in source code management.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Create data validation methods and data analysis tools.

Responsibilities

• Perform ETL, ELT operations and administration using modern tools and systems securely and per data standards.
• Assemble, model, transform large complex data sets to meet requirements for analysis.
• Automate data processing from multiple data sources.
• Develop, deploy and version control code for data consumption and APIs.
• Apply machine learning techniques to create and sustain data structures.
• Perform root cause analysis on data processes to improve quality and identify issues.
• Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria.

Skills

Python

SQL

NoSQL

R

Advanced English

Education

Bachelor’s in Data Science/BI/Statistics

Tools

Snowflake

Tamr

GitHub

Databricks

Airflow

Job description

CEDENT, based in Houston, is seeking an experienced Azure Data Engineer to design, implement, and optimize data pipelines in a on-site role. The candidate will work with modern data platforms to transform large datasets into actionable insights and ensure data quality and security.

You will collaborate with stakeholders, automate ETL/ELT workflows, and apply ML techniques to enhance data structures. A 10+ year track record in data engineering and strong SQL, Python, and cloud data tooling are