Staff Software Engineer (L4) Data Platform

Twilio

United States

Full Time

Posted 2 days ago

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

About the job

We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale.

Responsibilities

In this role, you’ll:

Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.

Qualifications

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in software development, or a related field.
Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
Experience designing, building, and operating large-scale systems using AWS technologies.
Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
Strong leadership skills, with a track record of mentoring and developing junior engineers.
Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired

Contributions to OSS projects is a bonus
Familiarity with data modeling, data warehousing, and ETL processes is a plus.

Location

This role will be remote, and based in the United States. This role will be remote but is not eligible to be hired in CA, WA, NY, NJ, PA or CT.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

Compensation

*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

The estimated pay ranges for this role are as follows:

Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120.00 to $213,900.00
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200.00 to $226,500.00
Based in the San Francisco Bay area, California: $201,280.00 to $251,600.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location..

Applications for this role are intended to be accepted until 8/28/2026, but may change based on business needs.

The estimated pay ranges for this role are as follows:

$171,120.00 to $213,900.00

Applications for this role are intended to be accepted until 8/6/2026, but may change based on business needs.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

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Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Originally posted on Himalayas

Software Engineering Lead - Data

InductiveHealth

United States

Full Time

Posted 22 days ago

Mission + People + Culture: With a corporate Mission to stop disease through technology, InductiveHealth is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability.

Why work at InductiveHealth?

1. Motivation: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes.

2. Curiosity: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally.

3. Organization: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes.

4. Feedback: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success.

5. Impact: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes.

What You’ll Be Doing

Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases

Bring expert-level knowledge of Power BI development, data modeling, and reporting standards

Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that's ready to support future AI use cases

Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions

Bring a working understanding of SQL Server performance monitoring — how to interpret database logs, identify performance issues, and support high-availability, 24/7 production environments

Support API integrations for data access and exchange across systems

Design and maintain observability practices across the data platform — including semantic models, pipelines, warehouses, and SQL endpoints — using tools like Azure Log Analytics and KQL

Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy

Contribute to technical de

What We’re Looking For

Senior-level experience in data solution design — schema design, system integration, scalability planning — with hands-on Microsoft Fabric and/or Power BI expertise

Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus

Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts

Experience with medallion architecture and cloud data warehousing patterns

Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools

Experience with API-based data integration

Solid understanding of the broader Azure ecosystem and its data-related services — App Services, VMs, Blob Storage, Log Analytics, networking basics

Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities

General exposure to or interest in AI-adjacent data patterns — e.g., natural-language-to-data querying or general familiarity with how AI grounding over data works conceptually

Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines

What Will Make You Stand Out

Familiarity with Power BI Embedded or similar embedding frameworks

Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying)

Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles

Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams

Benefits and Perks: InductiveHealth offers competitive benefits and perks including:

· Virtual first, remote organization and culture

· Flexible Paid Time Off (PTO)

· 401(k) retirement plan with corporate matching

· Medical, prescription, vision, and dental coverage (multiple plans based on your needs)

· Short Term and Long Term Disability (for employee)

· Life Insurance (for employee)

· New Team Member support for home office setup

About InductiveHealth: InductiveHealth () was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital () in early 2022.

All responses to applications will come from or from the domain @inductivehealth.com.

InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability.