Senior Data Engineer

Highbrow LLC; Bellevue (WA); On-site; Full time

Job summary

A data-driven tech company is seeking a Senior Data Engineer to design and optimize scalable data pipelines. Ideal candidates should have 8-10+ years of experience, advanced skills in Python and Shell scripting, and familiarity with cloud platforms like AWS or Azure. Responsibilities include collaborating with cross-functional teams to ensure data quality and implementing best practices for data governance. This is a long-term position based in Bellevue, WA, requiring Day-1 onsite presence.

Qualifications

• 8-10+ years in data engineering, managing complex data environments.
• Advanced proficiency in Python and Shell scripting for automation.
• Strong knowledge of data frameworks such as Spark and Hadoop.

Responsibilities

• Design, develop, and optimize scalable data pipelines for analytics.
• Transform and prepare large datasets for analysis and reporting.
• Collaborate with teams to ensure data quality and system reliability.

Skills

Python

Shell scripting

Data Frameworks

Cloud platforms (AWS/Azure)

Tools

Apache Spark

Hadoop

Google Cloud Platform (GCP)

Job description

Senior Data Engineer

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location- Bellevue, WA (Day-1 Onsite)

Exp required :- 8-10+ years

Key Skills :- Python , Shell scripting , Data Framework , Cloud platform (AWS/Azure)

Job Description

We are seeking an experienced Data Engineer with a strong background in data frameworks, scripting, and cloud platforms. The ideal candidate will have 8-10+ years of hands‑on experience in data engineering, with expertise in Python, Shell scripting, and familiarity with Google Cloud Platform (GCP) or other cloud environments like AWS or Azure.

Responsibilities

• Design, develop, and optimize scalable data pipelines to support data integration and analytics.
• Work with large datasets, transforming and preparing data for analysis and reporting.
• Develop scripts using Python and Shell to automate data processing tasks.
• Utilize data frameworks effectively to build, maintain, and support data infrastructure.
• Collaborate with cross‑functional teams to ensure data quality and system reliability.
• Implement best practices for data management and governance on cloud platforms (GCP, AWS, or Azure).

Qualifications

• Experience: 8-10+ years in data engineering, with demonstrated ability to manage complex data environments.
• Technical Skills:
  • Python & Shell Scripting: Advanced proficiency in scripting for automation and data processing.
  • Data Frameworks: Strong knowledge of data frameworks (e.g., Spark, Hadoop, Apache Beam).
  • Cloud Platforms: Familiarity with Google Cloud Platform (GCP); experience with AWS or Azure is a plus.
• Analytical Skills: Strong problem‑solving and analytical skills for handling large‑scale data environments.
• Collaboration: Ability to work effectively within a team, with excellent communication and documentation skills.

Preferred Qualifications

• Experience with Big Data tools and platforms, including Apache Spark, Hadoop, or BigQuery.
• Knowledge of data governance, security, and compliance standards.