data infrastructure engineer

Alljoined

<div><h2 class="jobSectionHeader">About Alljoined</h2>
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.
We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality.<h2 class="jobSectionHeader">
About the Role
</h2>As a Data Infrastructure Engineer, you will build the backend and hardware architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle, from building pipelines that process massive multimodal datasets (video, audio, text, time-series) to provisioning and managing both cloud and bare metal compute clusters we use to train on it. You will be powering our foundational model training by bridging the gap between physical neuro hardware and our central repositories, working alongside world-class researchers to ensure they have a high-throughput, low-latency pipeline straight to the GPUs.<h2 class="jobSectionHeader">
You might be a good fit if you</h2><ul><li>
Have 3+ years of production software engineering experience with deep expertise in systems-level architecture and languages like Python, Rust, C++, or Go.</li><li>
Have built and maintained high-performance ETL pipelines capable of processing, buffering, and storing terabytes of daily unstructured data.</li><li>
Are comfortable architecting, provisioning, and maintaining bare-metal local compute clusters, storage servers, and high-speed networking for intensive ML workloads.</li><li>
Have a background in handling continuous, highly concurrent data streams from heterogeneous hardware peripherals without data loss.</li><li>
Are capable of working across hybrid environments to define storage topologies, manage databases (TimescaleDB, ClickHouse), and sync massive datasets between on-premise edge servers and the cloud (AWS/GCP/Azure).</li><li>
Enjoy owning the entire technical lifecycle of infrastructure, from optimizing low-level I/O bound operations to production deployment.</li></ul><h2 class="jobSectionHeader">
Strong candidates may have</h2><ul><li>
A deep understanding of modern ML frameworks (PyTorch/TensorFlow) and know how to build datasets that maximize and saturate GPU utilization.</li><li>
Experience managing networking for distributed GPU training (InfiniBand, RoCE) or optimizing zero-copy networking and shared memory.</li><li>
Built infrastructure involving programmatic video processing (FFmpeg, GStreamer, OpenCV)
</li></ul><h2 class="jobSectionHeader">Compensation Range</h2>
$140,000 - $180,000/year
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.<h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive equity compensation at a seed stage startup</li><li>
Options for housing support</li><li>
Visa sponsorship</li><li>
3% 401k matching</li><li>
Health insurance</li></ul>
Compensation Range: $140K - $180K</div>

Data Infrastructure Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment.
 
 
Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. 
 
As a Data Infrastructure Engineer, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data. 
 
Key job responsibilities 
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul> 
A day in the life 
Your primary focus will be empowering customers to succeed with their data by ensuring they can: 
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience in software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment.
 
 
Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. 
 
As a Data Infrastructure Engineer, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data. 
 
Key job responsibilities 
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul> 
A day in the life 
Your primary focus will be empowering customers to succeed with their data by ensuring they can: 
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in software development, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

Easy Recruitment PK

Job Title: Platform Data EngineerLocation: Dubai, UAEResponsibilities:<ul><li>Design, build, and maintain scalable data and compute platforms to support data product development.</li><li>Manage and optimize distributed compute environments (e.g., Spark) to ensure efficient processing of large-scale data workloads.</li><li>Develop, deploy, and maintain workflow orchestration pipelines using Airflow for reliable data processing and scheduling.</li><li>Operate and maintain streaming data platforms (e.g., Kafka) to enable real-time data ingestion and processing.</li><li>Ensure high availability, reliability, and performance of platform infrastructure and services.</li><li>Monitor platform health and implement improvements for scalability, security, and cost efficiency.</li><li>Collaborate with data engineers, analysts, and product teams to enable efficient development and deployment of data products.</li><li>Troubleshoot platform issues and implement solutions to improve system stability and operational efficiency.</li></ul>Requirements:<ul><li>Proven experience in platform engineering, data infrastructure, or data engineering roles.</li><li>Strong hands-on experience with distributed computing frameworks such as Apache Spark.</li><li>Experience with workflow orchestration tools (e.g., Apache Airflow) for managing data pipelines.</li><li>Knowledge of streaming technologies such as Apache Kafka for real-time data processing.</li><li>Understanding of scalable data platform architecture and infrastructure management.</li><li>Experience ensuring system reliability, high availability, and performance optimization.</li><li>Familiarity with security best practices and cost optimization for data platforms.</li><li>Strong problem-solving skills and the ability to manage end-to-end platform operations.</li></ul>Job Type: Contract Contract length: 6 monthsPay: Up to AED150,000.00 per monthWork Location: In person

Platform Data Engineer

BW Design Group

<div>
 
 Who You&rsquo;ll Work With
 
 
 
 You will join one of our 45 offices in the US, be part of a committed team of over 1500 professionals, and work in teams and directly with our clients doing work that is shaping the world around us. You will be welcomed into a rapidly growing business and team and empowered to make an impact. You will be valued, cared for, and challenged on your path to becoming a world-class professional consultant and surrounded by leaders who are committed to creating an environment that enables you to realize your own success and fulfillment.
 
 
 When you join Design Group as a Data Engineer, you are joining a team that will challenge you and position you for growth. In this role, you will work with a team of industry experts to help the world&rsquo;s leading companies solve their most difficult problems. You will partner with seasoned leaders, technical specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and accuracy.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain cloud data infrastructure leveraging technologies like Azure SQL Database, Azure Data Lakes, and Azure Synapse Analytics, and DuckDB to enable advanced analytics (AWS experience is acceptable)
 </li>
 <li>
 Build scalable cloud data solutions and pipelines for big data sources and large datasets using services like Azure Synapse Spark Pools, Azure Data Pipelines, Azure Data Lakes, Spark Notebooks, and DBT
 </li>
 <li>
 Create optimized data models, efficient ETL/ELT logic, transformations, and metadata to structure and relate data for business insights.
 </li>
 <li>
 Automate and schedule regular data integrations from transactional systems, on-prem data warehouses, enterprise databases and SaaS applications into high performance cloud data platforms.
 </li>
 <li>
 Implement data quality checks, validation processes, error handling, partitioning, security, and resilience capabilities into data solutions based on requirements.
 </li>
 <li>
 Support migration initiatives to move on-premises data and BI systems into cloud data lakehouses, data lakes and other cloud analytics services.
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 0-2 years&rsquo; experience as a data engineer, ETL developer, or similar role (internships experience included).
 </li>
 <li>
 Experience with cloud data technologies (Azure preferred) such as Azure Synapse Analytics and Spark Pools.
 </li>
 <li>
 Strong expertise with SQL and Python. Exposure to DAX and M preferred.
 </li>
 <li>
 Familiarity with PowerBI or Tableau is a plus.
 </li>
 <li>
 Experience utilizing structured and unstructured data.
 </li>
 <li>
 Knowledge of data modeling, warehousing principles, ETL/ELT, and metadata standards.
 </li>
 <li>
 Understanding of CI/CD pipelines and DevOps processes is a plus.
 </li>
 <li>
 Ability to relate data opportunities to business needs.
 </li>
 <li>
 Strong communication, collaboration, curiosity, and perseverance skills.
 </li>
 <li>
 Analytical mindset with problem solving and troubleshooting skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Analytics, Information Systems or similar field required.
 
 
 
 </li>
 </ul>
 Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Data Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class professional and a highly effective leader.
 
 
 
 Additional Job Description
 
 
 
 <ul>
 <li>
 Builds infrastructures that collect and process data according to company needs
 </li>
 <li>
 Scales and builds out infrastructure to extract meaningful data
 </li>
 <li>
 Designs, develops and implements statistical models to carry out various aspects of classification and information extraction from data
 </li>
 <li>
 Leverages existing data infrastructure to fulfill all data-related requests; maintain data models
 </li>
 <li>
 Analyze data to spot anomalies, trends and correlate similar data sets.
 </li>
 <li>
 Troubleshoots and identifies possible solutions
 </li>
 <li>
 Other duties as assigned
 </li>
 </ul>
</div>

Data Engineer

LiveKit

<div>LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year.<h2 class="jobSectionHeader">
You'll thrive at LiveKit if you:</h2><ul><li>
obsess with crafting code that is fast, reliable and practical for the problem</li><li>
are known as the go-to person for tackling tough technical problems</li><li>
work hard and can build and ship fast</li><li>
can clearly explain complex technical concepts to others</li><li>
are a fast learner, frequently picking up new languages and tools</li></ul>
The best way to impress us is with thoughtful Issues and/or PRs on our Github repos
<h2 class="jobSectionHeader">About This Role:</h2>
As a Data Engineer at LiveKit, you'll own the analytics infrastructure that powers our business intelligence and data analysis capabilities. Working closely with the Head of Data and analytics peers, you'll design and implement scalable GCP-based data pipelines &mdash; from ingestion through transformation to delivery &mdash; maximizing the GCP ecosystem for cost-effective solutions while integrating additional services or homegrown tooling where appropriate. While analytics infrastructure is the core focus, you'll also engage with the broader application data infrastructure, contributing your data pipeline expertise to support product and engineering needs. This is a foundational IC role with significant ownership over the architecture and direction of our analytics stack as the team grows.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2>
Own the Analytics Infrastructure: You are the end-to-end owner of our GCP-based data infrastructure &mdash; including ingestion, movement, storage, security, and availability. You build and operate reliable, scalable pipelines that power analytics, and partner closely with the Analytics team on downstream transformation and BI.
Maximize the GCP Ecosystem: Build cost-effective solutions anchored in GCP-native services. Know when to extend with third-party tooling or homegrown solutions, and make pragmatic tradeoffs.
Contribute Across Data Infrastructure: While analytics is the primary focus, you'll bring broad data pipeline expertise to application data needs in collaboration with the product engineering team.
Managed Services First: Favor managed solutions over self-hosting. Evaluate build vs. buy with cost and operational burden in mind.
Engineering Standards: This role reports to the Head of Data within the Engineering org. Expect PR reviews, automated testing, proper change management, and production-grade standards.
AI-First Development: Work extensively with AI coding assistants and contribute to evolving our AI development workflows and infrastructure.
Startup Pace: Priorities shift quickly. Balance long-term architectural thinking with the tactical execution the moment requires.<h2 class="jobSectionHeader">
Who You Are:</h2><ul><li>
8+ years of experience in data engineering with strong Python and SQL expertise</li><li>
Deep expertise in GCP, with hands-on experience in BigQuery, Dataflow, Cloud Storage, and related analytics services</li><li>
Proven ability to design and implement production-grade data pipelines and aggregation layers for BI and analysis</li><li>
AI-first development mindset with hands-on experience building AI-driven workflows and effectively using AI coding assistants</li><li>
Strong understanding of data modeling, transformation patterns, and working with dbt</li><li>
Experience with data movement tools (Estuary, Airbyte, Fivetran, or similar)</li><li>
Solid infrastructure and DevOps fundamentals: Terraform or similar IaC, CI/CD, Git workflows, and change management</li><li>
Experience implementing observability and monitoring for data systems (DataDog, Grafana, or similar)</li><li>
Strong communication skills and ability to work cross-functionally with engineering and business stakeholders</li><li>
Self-directed and comfortable with ambiguity in a fast-paced startup environment</li><li>
Located in the US or Canada</li></ul><h2 class="jobSectionHeader">
Bonus:</h2><ul><li>
Experience coordinating with dbt and analytics engineering teams</li><li>
Background with AI workflow tools (n8n or similar)</li><li>
Background with AI coding assistants</li><li>
Prior experience as an early infrastructure hire building from the ground up</li></ul><h2 class="jobSectionHeader">
Our Commitment to You:</h2><ul><li>
An opportunity to build something truly impactful to the world</li><li>
Contribute to open source alongside world-class engineers</li><li>
Competitive salary and equity package</li><li>
Health, dental, and vision benefits</li><li>
Flexible vacation policy</li></ul>
Compensation Range: $195K - $245K</div>

Intrado

<div>About Us<div> 
Intrado is dedicated to saving lives and protecting communities, helping them prepare for, respond to, and recover from critical events. Our cutting-edge company strives to become the most trusted, data-centric emergency services partner by uniting fragmented communications into actionable intelligence for first responders. At Intrado, all of our work truly matters.</div> 
 
Responsibilities/Qualifications 
Position Overview:
We looking for an exceptional Staff Data Engineer to build the highperformance foundation that powers our company&rsquo;s internal business analytics. In this pivotal role, you will partner with a newly hired Staff Analytics Engineer to design and build the end-toend delivery of our data ecosystem, ensuring that our leadership team has the timely, actionable insights they need to make informed decisions. 
You will be responsible for building &ldquo;the plumbing&rdquo; of this data ecosystem, including the ingestion of data from diverse sources into our Azure data lake, transformation of data in Databricks, and delivery of gold layer data to visualization tools. You will enable the seamless flow of financial and operational data from source systems to decision-makers, eliminating the technical bottlenecks that delay critical business insights. 
This is a demanding role in a results-oriented environment with high expectations for agency, speed, and ownership. 
Key Responsibilities<ul><li>
Infrastructure Architecture: Design and implement the core architecture for the company&rsquo;s data ecosystem that will be used for business analytics. This includes the end-to-end architecture from the data in source systems to delivery in visualizations.</li><li>
High-Scale Ingestion: Build robust Azure Data Factory pipelines to pull data from disparate &quot;Source A&quot; systems (Salesforce, ServiceNow, D365) to &quot;Sink B&quot; (Azure data lake).</li><li>
Standards &amp; Governance: Set the technical standards for the Business Operations engineering team. You will define how the team handles CI/CD, version control, and data quality testing at the ingestion level.</li><li>
System Reliability: Ensure the raw and bronze data layers are available and up to date, minimizing downtime.</li></ul> 
Required Qualifications<ul><li>
Experience: 10+ years of progressive experience in Data Engineering, with a specific focus on designing and building cloud infrastructure and high-volume data movement.</li><li>
Cloud Infrastructure Architecture: Deep expertise in architecting the Azure Data Stack (Azure Data Factory, Azure Data Lake Storage, Databricks).</li><li>
High-Scale Data Ingestion: Proven ability to build robust, scalable ELT/ETL pipelines using Azure Data Factory and Databricks.</li><li>
Advanced Python &amp; Spark: Expert-level proficiency in Python and Apache Spark for distributed data processing.</li><li>
Governance &amp; Security: Experience implementing enterprise-grade data governance, and data lineage.</li><li>
DevOps &amp; CI/CD: Strong experience implementing CI/CD pipelines (Azure DevOps or GitHub Actions) for data infrastructure.</li><li>
LLM Application: Experience leveraging LLMs and AI-assisted development tools to accelerate data engineering workflows, improve code quality, and automate repetitive technical tasks.</li><li>
Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a closely related technical discipline.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s or equivalent in Computer Science, Engineering, or Cloud/Data Systems</li><li>
Prior experience working in a technology company or SaaS environment</li></ul>
 
Total Rewards<div> 
Want to love where you work? At Intrado, we offer a comprehensive benefits package that includes what you&rsquo;d expect (medical, dental, vision, life and disability coverage, paid time off, a 401(k) retirement plan, and several that go above and beyond &ndash; paid parental leave, access to a robust library of personal and professional training resources, employee discounts, critical illness, hospital indemnity, access to legal support, pet insurance, identity theft protection, an EAP (Employee Assistance Program) that includes free mental health resources/support, and more! Apply today to join us in work worth doing!</div><div></div><div> 
The starting salary is anticipated between $200,000 and $220,000 and will be commensurate with experience.</div><div> 
</div><div>Intrado is an Equal Opportunity Employer &ndash; Veterans/Disabled and Other Protected Categories. Our Company welcomes and encourages applications of individuals with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Intrado maintains a Drug Free Workplace.</div></div>

Staff Data Engineer

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