below marketmost similar roles pay hereabove market
This role pays more than
70%
of similar roles. Most pay
$126,800–$198,431
— the blue band above.
At the midpoint, this role pays about
$188k
versus about
$163k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
JOB TITLE: Software Development Engineer - Data
The Software Development Engineer - Data joins the Reporting & Data Models team to build and maintain the internal business intelligence infrastructure for an online media store. This role involves modernizing and automating legacy data pipelines, migrating infrastructure to cloud-native platforms, and delivering compliance extracts to meet legal deadlines. You will design and maintain automated pipelines, manage data models, and onboard curated datasets into a data lakehouse. Key technologies include Spark, Spark SQL, Hadoop, HDFS, S3-compatible object storage, Oracle, PL/SQL, Flink, Java, Scala, Kubernetes, and Airflow. You will also work with Iceberg, Parquet, Trino, and Python. The work focuses on ensuring operational accuracy, regulatory compliance, and data governance for a large-scale media platform involving music, films, books, and podcasts.
What does a Software Development Engineer earn in California?
Median $197750 from 81 postings across 10 companies.
Design, build, and maintain automated data pipelines across Oracle, Spark, Hadoop, and cloud storage.
Migrate legacy report jobs to modern pipeline orchestration and cloud-based infrastructure.
Troubleshoot and resolve pipeline failures, performance bottlenecks, and data quality issues.
Develop and maintain accurate legal and regulatory-compliance reports under strict deadlines.
Onboard curated datasets to the Data Lakehouse with proper governance and PII tagging.
Update and enhance internal content data platform models and schema changes.
Execute controlled production data modifications and archival programs under legal approval.
Contribute to the development of AI-assisted data tooling like Text-to-SQL.
What we're looking for
Minimum 1 year of experience as a Software Engineer, Data Engineer, or equivalent role.
Strong experience with Spark and Spark SQL, including performance tuning and resource optimization.
Strong experience with Hadoop, HDFS, and/or S3-compatible object storage.
Experience writing SQL and PL/SQL on Oracle, including query optimization.
Experience with Flink or Flink SQL for stream-based data processing.
Experience with Java and/or Scala development.
Experience building and maintaining automated data pipelines and job scheduling systems (e.g. Airflow).
Experience with CI/CD workflows and version-controlled deployment of data pipeline code.
Hands-on experience with Kubernetes for container-based workload execution.
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent hands-on engineering experience).
Familiarity with Iceberg / Parquet-based table formats (preferred).
Proficiency in macOS and Linux server environments (preferred).
Experience using GenAI tools (e.g., Claude, OpenAI tools) to accelerate engineering tasks (preferred).
Familiarity with cloud object storage migration patterns (HDFS to S3) (preferred).
Experience with EKS or other cloud-based compute platforms (preferred).
Familiarity with Trino or other distributed SQL query engines (preferred).
Familiarity with GenAI-assisted data access patterns (e.g., MCP servers, Text-to-SQL, LLM-assisted data documentation) (preferred).
Familiarity with Tableau or similar data visualization and dashboarding tools (preferred).
Experience with shell scripting for automation and pipeline support (preferred).
Hands-on experience with Python scripting for data processing and automation (preferred).
Typescript
Go
Python
NodeJS
React
GraphQL
REST
Aurora
Distributed Systems
Microservices
ES6
Relational Databases
Non-relational Databases
Systems Design
API Design