Senior Data Engineer

BECU

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: WAORIDAZTXGASCNCCAVA
Salary: $141,800–$173,300 / yr
Employment: Full-time
Posted: 54 days ago
Freshness: Confirmed live yesterday
Nearby: 65 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $158k

$114k $223k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $126,800–$212,625 — the blue band above. At the midpoint, this role pays about $158k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About BECU

BECU (Boeing Employees'' Credit Union) is one of the largest credit unions in the United States, offering a full range of financial products and services including savings, loans, and investment options to its members. Industry: Financial Services & Credit Union

BECU currently has 11 open roles on FindRole.

Most-posted roles

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At a glance

TL;DR · Senior Data Engineer

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The Sr Data Engineer joins a team focused on building enterprise-class data solutions and cloud-native data platforms. This role involves designing and coding complex features, automated tests, scripts, and data models to support business analytics, data governance, and operational reporting. You will develop high-quality, resilient data pipelines and scalable cloud-based solutions, including batch, near real-time, and API-based integrations. Key responsibilities include mentoring engineers, conducting code reviews, and implementing metadata management and data quality standards. You will utilize a technical stack including Python, Scala, Java, and SQL, alongside platforms like Azure, Databricks, Snowflake, and Microsoft Fabric. Specific tools include Azure Data Factory, Air Flow, Cosmos DB, and GitHub Copilot. The work addresses complex data workflows, cloud modernization, and the development of AI-ready data products within a financial services context.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

Skills

Python Scala Java SQL Azure AWS GCP Microsoft Fabric Azure Databricks Big Query Snowflake Azure Data Factory Air Flow Azure SQL Cosmos DB Event Hubs Azure Storage Azure Functions Container Apps API Management CI/CD Azure DevOps GitHub Git Data Modeling Data Warehousing ETL ELT Master Data Management Data Governance Alation Erwin Collibra Azure Purview Infosphere Informatica MDM GitHub Copilot Azure OpenAI Azure AI Search Copilot Studio AI Foundry MCP Test Driven Development

What you'll do

Design and develop complex, multi-tier cloud-native data solutions and integration services.
Build and support scalable data pipelines for batch, near real-time, and API-based integrations.
Implement data governance practices including metadata management, data quality standards, and lineage.
Support and mentor data engineering teams through design reviews, code reviews, and development activities.
Partner with leadership to document technology roadmaps and cloud modernization initiatives.
Establish engineering best practices for CI/CD, automated testing, and code quality.
Develop and support prototypes and proofs of concept to address specific business needs.
Present technical topics and lead solution discussions for engineering and business stakeholders.

What we're looking for

Must be a resident of WA, OR, ID, AZ, TX, GA, SC, NC, CA, or VA.
Bachelor’s degree in computer science or related discipline, or equivalent work experience.
Minimum 5 years of functional experience in data engineering.
Minimum 4 years of experience in coding languages such as Python, Scala, Java, or SQL.
Demonstrated experience using cloud technologies (Azure, AWS, or GCP) and modern data platforms (Microsoft Fabric, Azure Databricks, Big Query, or Snowflake).
Demonstrated experience using ETL/ELT, SQL, and Azure Services including Air Flow, Data Factory, SQL, Cosmos DB, Event Hubs, Storage, Functions, Container apps, and API Management.
Demonstrated experience in data modeling, data warehousing, and building enterprise-scale ODS, data warehouses, and data lake/Lakehouse solutions.
Experience using CI/CD tools (Azure DevOps, GitHub), Git, and performing code reviews following branching standards.

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