Sr. Databricks Data Engineer, Onsite, AVP
State Street
At a glance
AI generatedJoin our regulatory reporting data engineering team as a Scala - Spark Developer to assist in developing and enhancing Spark-based data pipelines on Databricks. You will implement business logic for regulatory reports under senior guidance, develop automation utilities with Python, and work extensively with Snowflake datasets. Responsibilities include supporting batch workflows using Autosys, writing BDD test cases, participating in code reviews, and providing basic production support. Ideal candidates have 3+ years of experience in software development or data engineering, strong Scala and Apache Spark knowledge, familiarity with cloud platforms like Snowflake, and understanding of database concepts. Additional skills such as Unix/Linux commands, shell scripting, and exposure to Generative AI are desired. This role offers hands-on learning with a modern tech stack and the chance to work on large-scale regulatory systems in a supportive environment.
Skills
What you'll do
What we're looking for
Market check
This $90,000–$150,000 range sits above 14% of similar postings on FindRole.
Peer median band
$117,000–$198,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$134,000–$196,187
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services
Morgan Stanley currently has 35 open roles on FindRole.
Listed pay typically runs $139,500–$165,000 across 34 roles with salary data.
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