Data engineer

Ztek Consulting INC; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Ztek Consulting INC is seeking a data engineering specialist to design and optimize data pipelines using SQL and Python across cloud platforms.

Ideal candidates will have 6+ years in data engineering, experience in data warehousing, and familiarity with AWS, GCP, or Azure, plus tools like Spark, Kafka, and Airflow. Join a team focused on building reliable, scalable data solutions.

Qualifications

• 6+ years of data engineering experience
• 3+ years in data eng, data science, or software engineering
• Expertise in writing and maintaining robust data pipelines in SQL and Python
• A track record of turning data requirements from stakeholders into actionable plans
• Experience with cloud-native solutions
• History of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
• Bachelor's or Master's in CS, statistics, information systems, or related technical field
• Experience with a scripting language (Python, Java, or R)

Responsibilities

• Develop and maintain robust data pipelines using SQL and Python across cloud platforms
• Collaborate with stakeholders to translate data requirements into actionable plans
• Leverage cloud-native solutions to design scalable data architectures

Skills

Data engineering

SQL

Python

AWS

Cloud-native solutions

Data pipelines

Education

Bachelor's or Master's in CS/Statistics/IS

Tools

Apache Spark

Kafka

NoSQL databases

Apache Airflow

Snowflake

Databricks

Redshift

Job description

Must Have Technical/Functional Skills

• Data engineer experience, SQL, AWS, Python

Roles & Responsibilities & Basic Qualifications

• 6+ years of data engineering experience
• 3+ year of experience working in a data engineering, data science, or software engineering capacity
• Expertise in writing and maintaining robust data pipelines in SQL and Python
• A track record of turning data requirements from stakeholders into actionable plans
• Experience with cloud-native solutions
• A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability

Preferred Qualifications

• Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
• Experience with a scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
• Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
• Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
• Strong skills in Python, Java, or Scala.
• Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.