Senior Data Engineer — Remote Cloud Pipelines & AI

Boeing Employees Credit Union

South Carolina

Hybrid

USD 142,000 - 173,000

Full time

11 days ago

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Benefits offered by this job

401(k) match
401(k) contribution
Medical, Dental & Vision
PTO + Exchange Program
Tuition reimbursement
Volunteer time off + donation match

Job summary

BECU is seeking a Senior Data Engineer to design and implement enterprise cloud-native data pipelines, governance-aware data platforms, and scalable solutions for analytics and AI-driven capabilities.

The role collaborates with Architects, Product Owners, and cross‑functional teams to deliver secure, reusable data products and modern data platforms across the organization. Remote/hybrid options apply.

Qualifications

  • 5+ years of functional data engineering experience.
  • 4+ years coding in Python, Scala, Java, SQL.
  • Experience with cloud platforms (Azure, AWS, GCP).
  • Proficiency with modern data platforms (Synapse, Databricks, Redshift, BigQuery, Snowflake).
  • ETL/ELT, SQL, and cloud data integration tools.
  • Data modeling, warehousing, ODS, lakehouse experience.
  • CI/CD with Azure DevOps or GitHub; Git usage and code reviews.

Responsibilities

  • Design enterprise data solutions for cloud-native data platforms.
  • Build scalable data pipelines including batch and real-time flows.
  • Drive technical innovation balancing engineering excellence with business needs.
  • Champion data governance, metadata, data quality, lineage.
  • Mentor data engineering teams and coordinate code/design reviews.
  • Collaborate on technology strategy with architects and product owners.
  • Promote CI/CD, testing, and secure, reusable data products.

Skills

Data engineering
Python
SQL
Cloud platforms
CI/CD
Data modeling
Data warehouses
Git / code reviews

Education

Bachelors in CS or related

Tools

Azure
AWS
GCP
Azure Databricks
Azure Synapse
Redshift
BigQuery
Snowflake
Power BI
Azure Data Factory
GitHub / Copilot

Job description

BECU is seeking a Senior Data Engineer to design and implement enterprise cloud-native data pipelines, governance-aware data platforms, and scalable solutions for analytics and AI-driven capabilities.

The role collaborates with Architects, Product Owners, and cross‑functional teams to deliver secure, reusable data products and modern data platforms across the organization. Remote/hybrid options apply.

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