Senior Data Engineer — Cloud-Native Pipelines & Analytics

Realign Llc

Seattle (WA)

On-site

USD 120,000 - 190,000

Full time

10 hours ago
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Benefits offered by this job

Discretionary Annual Incentive
Medical Coverage: Medical & Health, &r
Dental & Vision
Disability Insurance
Auto & Home Insurance
Commuter Benefits & Certification &amp
Training Reimbursement
Vacation & Holidays

Job summary

Realign Llc is seeking a seasoned Data Engineer to design and maintain scalable data pipelines in SQL and Python, leveraging cloud-native platforms. The role requires translating stakeholder data needs into robust technical solutions and ensuring data accuracy and reliability.

The candidate will work in Seattle, WA, focusing on end-to-end data engineering, ETL/ELT processes, and collaboration with cross-functional teams to drive data-driven decisions.

Qualifications

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

Skills

Data engineering
SQL
Python
Cloud-native solutions
Data pipeline best practices
Stakeholder data requirements
Data reliability

Education

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

Tools

AWS
GCP
Azure
Apache Spark
Kafka
Airflow
Snowflake
Databricks
Redshift
NoSQL databases

Job description

Realign Llc is seeking a seasoned Data Engineer to design and maintain scalable data pipelines in SQL and Python, leveraging cloud-native platforms. The role requires translating stakeholder data needs into robust technical solutions and ensuring data accuracy and reliability.

The candidate will work in Seattle, WA, focusing on end-to-end data engineering, ETL/ELT processes, and collaboration with cross-functional teams to drive data-driven decisions.

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