Data Engineer

Talentify; Seattle (WA); On-site; USD 110,000 - 130,000; Full time

Job summary

Diverse Lynx LLC is seeking a Data Engineer for an on-site Seattle role requiring 7+ years in data engineering. The position emphasizes building robust data pipelines, cloud-native solutions, and collaboration with stakeholders to translate requirements into actionable data plans.

The ideal candidate has deep SQL expertise, Python or Java proficiency, and hands-on experience with AWS, Databricks, Snowflake, Redshift, and Apache Airflow in a scalable data environment.

Qualifications

• 6+ years of data engineering experience.
• 3+ years of experience in data engineering, data science, or software engineering.
• Expertise in writing and maintaining robust data pipelines in SQL and Python.
• Track record of turning data requirements from stakeholders into actionable plans.
• Experience with cloud-native solutions.
• Best practices in data pipelines for accuracy, consistency, and reliability.

Skills

Data engineering

SQL

AWS

Python

Java

Scala

Education

Bachelor's degree

Master's degree

Tools

Snowflake

Databricks

Redshift

Apache Spark

Kafka

Apache Airflow

NoSQL databases

Job description

Data engineer || Seattle, WA – Onsite || Fulltime | | 7 + years of experience

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 (Eligible to workP), 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.
Max salary : 130K/annum + benefits .

Disclaimer:

Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.

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