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Data Analytics Developer

Samsung Open · verified Oct 24, 2026
On-site San Jose Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Samsung. San Jose · full-time · no salary stated · we estimate $100,000–$176,400.

Estimated pay

Samsung has not published a salary for this role. The figure below is our estimate, not theirs.

$100,000 – $176,400
What the middle half of mid-level data analysis & BI roles in San Jose paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median $144,875. Last updated Oct 4, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationSan Jose
WorkplaceOn-site
EmploymentFull-time
PostedMar 20, 2015 · 11y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build high-performance Java server applications designed to stay available under load
  • Evolve existing designs into large-scale services, from architecture through deployment
  • Apply distributed computing frameworks, serialization tools and REST principles to system development
  • Use SQL and relational database concepts, with unit tests, mocks and build frameworks
  • Keep learning new big data technologies and apply Hadoop-stack experience

What you bring

  • At least five years of software development work
  • Strong Java server-side development experience, plus hands-on work with distributed systems and the Hadoop stack
  • A bachelor's degree in computer science, engineering, mathematics, statistics or a related area
  • Practical knowledge of object-oriented design, SQL, REST, testing and build frameworks

Who this fits

This mid-level, full-time role is based on-site in San Jose. It suits a developer with substantial Java and distributed-systems experience who can learn new analytics technologies independently.

From the employer

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies

• Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;

• Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;

• Excellent object-oriented analysis and design skills and using proven architectural patterns;

• Must have practical experience with distributed computing frameworks;

• Experience with serialization frameworks such as Avro and Protocol Buffers;

• Experience developing systems following the REST architectural style;

• Knowledge of relation database concepts and SQL;

• Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;

• Practical experience with build frameworks such as Maven and sbt;

• Practical experience with the Scala programming language (desirable);

• Practical experience with Hadoop, Spark, Akka (desirable);


• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

All your information will be kept confidential according to EEO guidelines.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.