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data governance platform engineer

U.S. Bank

<div>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.<h2 class="jobSectionHeader">
Job Description</h2><div>
Data Governance Platform Engineer
Job Desc:
Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we&rsquo;re one of the country's most respected, innovative, ethical and successful financial institutions. We&rsquo;re looking for people who want more than just a job &ndash; they want to make a difference! U.S. Bank is seeking a Data Governance Platform Engineer with experience in Databricks, Collibra, Snowflake who will contribute toward the success of our technology initiative developing scalable data governance solutions for the business.
Key responsibilities:<ul><li>
Manage data governance capabilities, such as metadata, data lineage, data quality, etc. for various workloads within a cloud and across cloud environments.</li><li>
Develop with guidance and implement scalable data governance solutions for data pipelines ingestion, transformation, and storage to ensure meeting various data governance requirements.</li><li>
Diagnose and resolve issues related to networks, job failures, and performance bottlenecks. Provide on-call support and collaborate with other teams to ensure smooth operations.</li><li>
Work across functional teams and business lines to support data governance solutions in the cloud.</li></ul>
Basic qualifications:<ul><li>
Bachelor&rsquo;s degree, or equivalent work experience</li><li>
Two to four years of relevant experience</li><li>
Proficient in Linux and distributed systems</li><li>
Proficient with Java, Shell scripting, Python, Spark languages.</li><li>
Experience in data governance and technologies such as Databricks Unity Catalog, Snowflake and Collibra.</li><li>
Good understanding in agile software development lifecycle and DevOps principles.</li><li>
Good problem-solving skills and the ability to diagnose and resolve system failures.</li><li>
Experience in cloud-native architectures, Kubernetes, Docker, etc.</li><li>
Working knowledge of Microsoft Azure cloud or AWS.</li><li>
Good communication skills to work with cross-functional teams.</li></ul>
Preferred skills and experiences:<ul><li>
Experience in addressing PCI and PII data requirements.</li><li>
Working knowledge and hands-on experience in Data Lake Architectures, such as Databricks and Snowflake platforms.</li><li>
Good understanding of banking, operations, risk, and compliance with technical fluency in business and regulatory acumen.</li></ul>
***This role requires working from a U.S. Bank location three (3) or more days per week.***</div>
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:<ul><li>
Healthcare (medical, dental, vision)</li><li>
Basic term and optional term life insurance</li><li>
Short-term and long-term disability</li><li>
Pregnancy disability and parental leave</li><li>
401(k) and employer-funded retirement plan</li><li>
Paid vacation (from two to five weeks depending on salary grade and tenure)</li><li>
Up to 11 paid holiday opportunities</li><li>
Adoption assistance</li><li>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</li></ul>
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $117,725.00 - $138,500.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.</div>

Data Governance Platform Engineer

Apple

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Software Engineer - Data

eTeam

<div>
 
 
 Title: Data Engineer
 
 
 
 Location:
 
 
 Cupertino, CA/ Austin, CA
 
 Duration: 6 Months
 
 
 
 The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerceproducts. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strongfundamentals in data modeling and scalable systems.
 
 
 
 KEY RESPONSIBILITIES:
 
 <ul>
 <li>
 Data Engineering &amp; Architecture Design and implement scalable batch and near-real-time data pipelines. Develop ETL/ELT workflows optimized for performance and cost. Implement dimensional data models and standardize business metrics.
 </li>
 <li>
 Instrument APIs and user journeys to capture behavioral and transactional data.
 </li>
 <li>
 Data Governance &amp; Quality -
 </li>
 <li>
 Ensure data integrity, governance, privacy, and compliance.
 </li>
 <li>
 Maintain reliability and availability of mission-critical systems.
 </li>
 </ul>
 
 
 REQUIRED QUALIFICATIONS
 
 <ul>
 <li>
 6 years of experience in data engineering for analytics or ML systems.
 </li>
 <li>
 Strong SQL proficiency.
 </li>
 <li>
 Experience in Python, Scala, or Java.
 </li>
 <li>
 Hands-on experience with Spark, Kafka, and Airflow (or similar).
 </li>
 <li>
 Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg). Experience with AWS, Azure, or GCP.
 </li>
 <li>
 Comfortable participating in rotating on-call.
 </li>
 <li>
 Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau. Familiarity with CI/CD, data observability, infrastructure-as-code.
 </li>
 <li>
 Exposure to MLOps and GenAI/RAG pipelines.
 </li>
 <li>
 Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG).
 </li>
 <li>
 Experience in FinTech, Wallet, or Payments domain.
 </li>
 </ul>
</div>

Data Engineer

Our team is dedicated to solving the high-quality training data problem at the scale required to train advanced Foundation Models. We believe that the advanced model performance (including reasoning, coding, and agentic planning) fundamentally depends on a data-centric approach to Machine Learning. Our objective is to engineer a large-scale system that acquires, processes, and curates the data required to advance the state of the art in Artificial Intelligence. 
 
We are seeking a Senior Research Engineer who possesses a deep understanding of distributed systems and a strong intuition for Machine Learning. You will join a culture that values engineering craftsmanship, privacy, and rigorous scientific inquiry, utilizing advanced cloud technologies to build the data systems that powers our most capable models. 
 
Description 
 
This position operates at the convergence of Software Engineering and Machine Learning Research. Unlike traditional backend roles, this position requires you to design systems where the outcome is the statistical distribution and quality of data itself. You will work alongside Research Scientists to transform theoretical observations into concrete, scalable engineering solutions. Your core focus will be the architecture of our Data Acquisition, Processing, and Repository Management systems for Large Model training. You will lead technical efforts to enable active, quality-driven data curation, including filtering, deduping, synthetic data generation and data mixing, ensuring our models are trained on the highest-quality information available.&quot;,&quot;responsibilities&quot;:&quot;Architect Scalable Ingestion Systems: Design and implement high-throughput distributed systems to ingest petabytes of text and multimodal data from diverse sources, including web crawls and third-party partnerships. 
 
Repository Optimization: Manage the lifecycle of large-scale datasets across data storage and high-performance file systems. Optimize data formats for efficient random access and sequential scanning during model training. 
 
Data Governance &amp; Privacy: Engineer robust data governance and privacy solutions for the training data, in collaboration with compliance and legal teams, to ensure adherence to stringent regulatory standards. 
 
High-Performance Processing Pipelines: Build and maintain distributed data processing workflows using advanced frameworks on cloud infrastructure (e.g., GCP, AWS). 
 
Algorithmic Data Curation: Implement sophisticated data filtering and selection logic to remove low-quality content. Develop semantic deduplication at scale to prevent model memorization and improve training efficiency. 
 
Decontamination Removal: Design automated systems to detect and remove benchmark leakage, ensuring that evaluation datasets remain strictly isolated from training corpora. 
 
Infrastructure for Scaling Laws: Collaborate with researchers to enable data ablations and scaling experiments. Build tools to support systematic data mixture optimization and empirically data studies. 
 
Preferred Qualifications 
 
Research Collaboration: Experience working within or closely with ML research organizations (e.g., as a Research Engineer), with an ability to translate research results into engineering implementations. 
 
Domain Knowledge: Familiarity with lifecycle of modern LLM training, end-to-end workflows, and underlying system architecture. 
 
Complex Data Types: Experience in processing complex data modalities beyond plain text, such as source code repositories, images, videos, and audios. 
 
Minimum Qualifications 
 
Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or Mathematics. 
 
Technical Expertise: 4+ years of software engineering experience with a specific focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering. 
 
Language Proficiency: Expert fluency in Python, and strong competence in system languages such as C++. 
 
Cloud Architecture: Extensive experience architecting solutions on major public cloud platforms (e.g. GCP) to build scalable data systems (e.g. with Apache Beam, GCS) 
 
Performance Engineering: Deep experience profiling and optimizing high-throughput data systems. Demonstrated ability to debug distributed bottlenecks (e.g., stragglers, I/O saturation), optimize data formats and provide efficient data storage solutions. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Research Engineer, Training Data Infrastructure in Foundation Models

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science &amp; Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust. 
 
Description 
 
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.&quot;,&quot;responsibilities&quot;:&quot;As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. 
 
You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. 
 
Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. 
 
You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. 
 
Preferred Qualifications 
 
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) 
 
Track record designing client-agnostic APIs using REST and/or GraphQL 
 
Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.) 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 
 
7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 
 
2+ years of experience in technical leadership roles focused on platform engineering or infrastructure 
 
Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) 
 
Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) 
 
Proven development skills building backend API services using Python (preferred) and/or JavaScript 
 
Practical experience with asynchronous programming, type safety, threading models, state machines and data structures 
 
Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake 
 
Experience with managed cloud platforms such as AWS, GCP, Azure 
 
Excellent communication skills to collaborate with non-technical audience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Software Engineer, Data Science & Analytics Platform Engineering

Realign

<div>Cupertino, California 94024 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: MacOS Engineer</div><div>
Location: Cupertino, CA</div><div>
FTE Only</div><div></div><div> 
JOB DESCRIPTION:</div><div></div><div> 
Must Have Technical/Functional Skills:</div><div></div><ul><li> 
Education: Bachelor&rsquo;s degree in Computer Science or a related field.</li><li>Experience: Min 5 years of specialized experience in Apple platform development.</li></ul><div></div><div> 
Technical Requirements:</div><div></div><ul><li> 
Languages: Proficiency in Swift and Objective-C</li><li>Frameworks: Mastery of AppKit (classic macOS UI), SwiftUI (modern UI), and Combine or Grand Central Dispatch (GCD) for concurrency.</li><li>Tools: Expert-level use of Xcode, Git, and the macOS Command Line Tools.</li><li>Architecture: Understanding of MVVM or MVC patterns and experience with RESTful APIs for backend integrati</li></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

MacOS Engineer-6

We&rsquo;re looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across Siri. In this role, you'll operate at the intersection of engineering excellence and business impact. You&rsquo;ll design and implement scalable, reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility, high-impact position with the opportunity to influence the direction of products and strategy. 
 
The Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data, metrics and insights to continuously improve Siri&rsquo;s User Experience across Apple platforms including iOS, macOS, visionOS, tvOS and watchOS. 
 
Our team defines and owns the most critical user facing metrics, identifies quality issues, builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product, platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking, we make sure Siri feels fast, natural and helpful wherever users need it. 
 
As a Senior Software Engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siri&rsquo;s User Experience. 
 
If this sounds like you, you're someone who&rsquo;s laser-focused on impact - bringing sharp programming skills, strong problem-solving abilities and clear communication to the table, all driven by a passion for building exceptional products. 
 
You'll have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering, Product, Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day. 
 
Description 
 
Join us in building the data backbone of Siri&rsquo;s regression detection system - the platform that enables engineering teams and senior leadership to see, understand, and improve product quality. In this role, you&rsquo;ll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence, but also the ability to collaborate across teams, communicate effectively and align diverse stakeholders around solving complex, high-impact challenges. 
 
You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity to deliver meaningful, incremental impact. You bring strong problem-solving skills, operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail, you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing, CI/CD, documentation, monitoring, and alerting - to ensure reliable, maintainable solutions. In this role, you&rsquo;ll collaborate closely with stakeholders to understand metric needs, provide technical guidance, gather requirements and deliver robust data solutions and intuitive dashboards. 
 
Preferred Qualifications 
 
Experience supporting the end-to-end machine learning lifecycle, including data ingestion, feature pipelines, batch inference, and model monitoring in production environments. 
 
Hands-on experience building, scheduling, and maintaining data and ML workflows using orchestration frameworks such as Apache Airflow 
 
Experience working in cloud environments (AWS, GCP, or Azure) and integrating data pipelines with cloud-native storage and compute services 
 
Minimum Qualifications 
 
7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. 
 
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift etc) or scripting languages (Python, Ruby, Bash etc.). 
 
Experience working with Spark or other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient and large scale data systems. 
 
Expertise in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns, draw insights and troubleshoot issues. 
 
Knowledge of SQL to analyze data, derive insights and drive improvements. 
 
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization skills. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr Software Engineer, Siri User Experience Metrics and Data

Explore 111+ Data governance platform engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.