Software-Engineer, Data-Engineer, Data-Platform-Engineer Jobs

Are you excited to work with innovative security products?

Do you relish the prospect of working with cutting-edge network security systems?

Join our Data Intelligene Team!

Our data intelligence team builds the data platform that meters and bills Akamai Cloud compute. We turn raw usage from compute instances, GPUs, storage, networking and AI inference into accurate/auditable billing data that customers/finance teams trust.

Partner with the best

You will join the Netstats Engineering team, which runs the large-scale usage and billing pipelines behind Akamai's products. In this hands-on engineering role, you will design pipelines, write production code, and own the correctness of data, directly driving revenue.

As a Senior Software Engineer, you will be responsible for:

• Designing, building and operating batch and streaming pipelines that ingest usage events from Akamai Cloud compute services at high volume
• Building metering/rating logic:aggregate raw usage into billable units(instance hours, GPU hours, data transfer, storage, inference tokens) and apply rate cards/contract terms
• Developing/maintaining a data lakehouse (open table formats on object storage) as the source of truth for usage and billing data
• Orchestrating workflows with Apache Airflow, including backfills, late-arriving data, retries and SLA monitoring
• Writing production-grade Python and Spark or Flink jobs, packaged and deployed with Docker
• Building reconciliation/data-quality checks so every billed unit traces back to its source usage, with audit trails finance can rely on
• Writing clean, tested, well-documented code; review others' work and raise the team's engineering standards

Do what you love

To be successful in this role you will:

• Have 6+ years of software/data engineering experience, with a Bachelor's degree in Computer Science or a related field (or equivalent experience)
• Demonstrate great programming skills in Python; ideally experience in Java or Scala
• Have hands-on experience building large-scale pipelines with a modern data framework such as Apache Spark or Apache Flink
• Have production experience orchestrating pipelines with Apache Airflow
• Possess deep SQL experience: complex joins, window functions, query tuning, and data modeling for analytics
• Have experience building or running a data lakehouse (e.g., Delta Lake, Apache Iceberg or Apache Hudi on object storage)
• Have experience with at least one public cloud (AWS, GCP, Azure )

About us

At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.

Our focus is simple:

Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.

At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

FlexBase adapts to your job's needs

Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.

We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

Originally posted on Himalayas

Staff Software Engineer – Data

Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.

The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.

We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.

Responsibilities

• Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
• Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
• Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
• Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
• Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
• Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
• Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
• Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
• Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
• Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
• Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
• Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
• Strong proficiency in Python, with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components.
• Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink, Apache Spark Structured Streaming, or equivalent distributed streaming technologies.
• Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse, Apache Druid, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
• Experience building and consuming event-driven data pipelines using AWS MSK, Apache Kafka, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
• Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
• Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
• Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.

Nice to Have

• Experience with Databricks, Apache Iceberg, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
• Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations.
• Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.

Your First 90 Days

30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.

60 Days: Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.

90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.

In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.

Originally posted on Himalayas

At R1, we’re transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers.

All Together Better defines our culture and the way we work. We’re a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what’s next for R1 and the future of healthcare.

About R37

R37 is R1’s AI innovation lab, building technology to transform healthcare.

Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream.

What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact:

• 180M+ claims
• 550M+ patient encounters
• 1.2B+ workflow actions and outcomes annually

This is startup-level ownership with enterprise-level impact. You’ll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works.

As our Software Engineer, Data Platform (HL7/FHIR), you will be a key member of the engineering team and apply advanced technical knowledge, broad knowledge of software engineering best practices, problem-solving, and creativity to build and maintain software products that achieve technical, business, and customer experience goals. To thrive in this role, you must have the ability and willingness to mentor and develop junior software engineers, and act as a thought leader and trusted subject-matter expert in a variety of technical domains.

Here’s what you will experience working as a Staff Software Engineer, Data Platform (HL7/FHIR):

• Heavily participate in roadmap definition, working closely with senior product and engineering leaders.
• Evaluate and help shape strategic technology direction and choices.
• Provide thoughtful recommendations in sessions with scrum team members to structure solution source code and implementation approaches —emphasizing the need to optimize code that follows engineering best practices, and maximizes maintainability, testability, and performance.
• Work with product management and business stakeholders to understand software requirements and help estimate epics, features, and stories.
• Script and maintain automated build steps, continuous integration systems, and staging environments.
• Willingly and enthusiastically mentor junior members of the development team.

Required Skills:

• Bachelor’s degree in Computer Science or a related technical field.
• 10+ years of software engineering or data engineering experience, including 5+ years in a technical leadership or thought-leadership capacity.
• Advanced experience with Apache Spark, Python, Scala, Databricks, and big-data architecture.
• Hands-on experience with HL7, FHIR, Epic, clinical data, and healthcare technology environments.
• Extensive experience with at least one major cloud platform, including Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
• Strong knowledge of web services and integration technologies, including XML, XSD, SOAP, JSON, and REST APIs.
• Experience with modern software engineering practices, including version control, automated testing, CI/CD, Agile development, and automated build and deployment processes.

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.

Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.

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Originally posted on Himalayas