Unknown Company

Data Engineer-2

seattle, wa • Posted Today
Onsite Full Time Software Development

Seattle, Washington 98039 Posted October 2nd, 2026 Looking for more job opportunities?

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.

TCS Employee Benefits Summary:

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Aut& Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Required Skills

Job Type: Full Time

Job Category: IT

Job Description

Data Engineer
Seattle, WA
Fulltime

---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.

TCS Employee Benefits Summary:

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Aut& Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Required Skills

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Data Engineer-2 in seattle at Unknown Company

This position is listed as full time and onsite.

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