data software engineer

Apple

At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts, and apps, is underpinned by sophisticated data systems that run quietly and reliably at scale. The ASE Content Data Engineering team builds and maintains the reporting infrastructure, data pipelines, and data models that keep Apple's online media platform informed, compliant, and moving forward. 
 
We are looking for a Software Development Engineer - Data to join our Reporting &amp; Data Models team. In this role, you will modernize and automate legacy data pipelines, build new reporting solutions, maintain a large and complex reporting estate across Oracle and cloud-native platforms, and help deliver compliance extracts that meet real-world legal deadlines across multiple jurisdictions. If you enjoy working on systems that matter, where your engineering choices directly impact operational accuracy, regulatory compliance, and business intelligence for one of the world's largest media platforms, we would love to hear from you. 
 
Description 
 
The ASE Content Data Engineering team is responsible for the internal business intelligence infrastructure that powers Apple's online media store. The data models and reports developed by this team supply information to engineering, business operations, and external content providers regarding the status of online media, including workflow status, availability, and incoming and outgoing volume. 
 
This engineer will own and evolve a large portfolio of data pipelines and reporting systems, driving the ongoing migration from legacy infrastructure to modern pipeline orchestration and cloud-based storage, while also delivering net-new reports and data models in response to business, engineering, and regulatory needs. The role demands a blend of engineering rigor, data fluency, and a strong reliability mindset: the team's reports directly support legal and compliance obligations with hard, externally-imposed deadlines. 
 
The ideal candidate brings a bias toward automation and self-healing pipelines over manual intervention, and is comfortable managing a broad portfolio of concurrent work, balancing urgent pipeline fixes against longer-horizon migration and enhancement projects. They can independently troubleshoot and resolve ambiguous, production-impacting issues under time pressure, and communicate technical findings clearly to non-engineering stakeholders across legal, business operations, and content provider teams. Knowledge of or genuine curiosity about online media is a plus.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain automated data pipelines and reporting systems across a hybrid stack spanning Oracle, Spark, Hadoop, and cloud object storage 
 
Drive the migration of legacy report jobs to modern pipeline orchestration and cloud infrastructure, ensuring reliability, observability, and maintainability 
 
Investigate and resolve pipeline failures, performance bottlenecks, and data quality issues across a large, interdependent reporting estate covering all content domains 
 
Develop and maintain legal and regulatory-compliance reports where accuracy, auditability, and on-time delivery are non-negotiable 
 
Onboard and publish curated datasets from operational data stores to the Apple Data Lakehouse, ensuring proper data governance, lineage documentation, and PII tagging 
 
Extend and enhance internal content data platform models across all content domains: propagating schema changes, adding new columns and descriptors, and maintaining the accuracy of the platform's content-intelligence surface 
 
Execute controlled, legally-gated production data modifications and archival/deletion programs under change control and with required legal approval 
 
Contribute to the evolution of AI-assisted data tooling (e.g., Text-to-SQL), automating and accelerating how stakeholders access and query content data 
 
Preferred Qualifications 
 
Familiarity with Iceberg / Parquet-based table formats 
 
Proficiency in macOS and Linux server environments 
 
Experience using GenAI tools (e.g., Claude, OpenAI tools) to accelerate engineering tasks 
 
Familiarity with cloud object storage migration patterns (HDFS to S3) 
 
Experience with EKS or other cloud-based compute platforms 
 
Familiarity with Trino or other distributed SQL query engines 
 
Experience with Flink or Flink SQL for stream-based data processing 
 
Familiarity with GenAI-assisted data access patterns (e.g., MCP servers, Text-to-SQL, LLM-assisted data documentation) 
 
Familiarity with Tableau or similar data visualization and dashboarding tools 
 
Experience with shell scripting for automation and pipeline support 
 
Experience with Java development 
 
Minimum Qualifications 
 
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 
 
Hands-on experience with Python scripting for data processing and automation 
 
Experience writing SQL and PL/SQL on Oracle, including query optimization 
 
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 Hands-on engineering experience and a demonstrable track record of building and maintaining production data systems are weighted equally alongside formal academic credentials. 
 
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 $150,400 and $225,300, 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.

Software Development Engineer - Data

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: SAP Data Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $130,000&ndash;$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary: 
We are seeking an experienced SAP Data Engineer to design, build, and optimize HANA-native data models and analytical objects supporting S/4HANA, BW/4HANA, and standalone HANA platforms. In this role you will translate complex business and analytics requirements into performant HANA models, and you will be the go-to expert for diagnosing and resolving HANA performance issues across the SAP landscape. The ideal candidate will combine deep expertise in HANA-native modeling &mdash; including calculation views, CDS views, AMDPs, and SQLScript &mdash; with strong performance-tuning skills and a clear understanding of HANA internals. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical discipline.</li><li>
Five or more years of SAP HANA development experience.</li><li>
Strong hands-on expertise with calculation views, CDS views, AMDPs, and SQLScript.</li><li>
Solid understanding of HANA architecture, including in-memory storage, columnar processing, and parallel execution.</li><li>
Hands-on experience with HANA performance tuning tools and methodologies.</li><li>
Experience with HANA replication tools (SLT, SDI, SDA).</li><li>
Working knowledge of HANA security models, including analytic privileges and roles.</li><li>
Familiarity with S/4HANA embedded analytics or BW/4HANA modeling.</li><li>
Strong SQL skills.</li><li>
Excellent troubleshooting, communication, and documentation skills.</li></ul> 

Preferred Qualifications<ul><li>
SAP-certified HANA modeling or development credentials.</li><li>
Experience with HANA Native Storage Extension or dynamic tiering.</li><li>
Exposure to HANA Cloud and SAP Datasphere.</li><li>
Familiarity with BTP-based analytics tooling such as SAC.</li><li>
Hands-on experience with large-scale HANA migrations and upgrades.</li></ul>
How to Apply 
 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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SAP Data Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

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