Senior Software Engineer, Data Integrations (Java/Python)

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
San FranciscoSausalito, CA
Salary
$162,000–$215,000 / yr
Posted
6 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $188k
$131k most similar roles pay here $232k

This role pays more than 58% of similar roles. Most pay $144,350–$222,000 — the shaded band above. At the midpoint, this role pays about $188k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 95 open roles on FindRole.

Listed pay typically runs $148,000–$200,000 across 93 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Senior Software Engineer, Data Integrations (Java/Python)

Join the expanding team of engineers at BlackRock SMA Solutions responsible for designing and building data-centric and integration-focused services that power portfolio construction, reporting, and downstream workflows. As a senior engineer, you will work on APIs, data pipelines, microservices, and relational data stores, ensuring reliability and security while collaborating closely with product, analytics, and business stakeholders. Key responsibilities include developing end-to-end features across the data lifecycle, enhancing integration services, supporting cloud-native environments like Kubernetes, and continuously improving platform components using modern technologies. Ideal candidates have 6+ years of experience in data engineering or backend/full-stack roles, proficiency in Java/Python, strong SQL skills, and familiarity with RESTful services and containerization tools such as Docker and Kubernetes.

What you'll do

  • Design and develop end-to-end features across data pipelines, APIs, and microservices.
  • Build and enhance integration services for internal platforms and external systems.
  • Develop components of a microservices ecosystem supporting equity portfolio workflows.
  • Ensure data quality, completeness, and timeliness by designing database schemas and writing efficient SQL.
  • Support building, releasing, and operating cloud-native services on Kubernetes-based platforms.
  • Troubleshoot issues in live production environments and provide real-time support for critical incidents.

What we're looking for

  • 6+ years of professional experience in data engineering, integration engineering, or backend/full-stack engineering.
  • Strong proficiency in modern object-oriented languages such as Java or Python.
  • Solid experience with SQL and relational database design.
  • Experience designing and consuming RESTful APIs; familiarity with GraphQL or gRPC is beneficial.
  • Ability to troubleshoot production issues and provide real-time support for critical incidents.
  • Strong communication skills, working effectively across engineering and business teams.

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