data platform engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
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 You contribute to the design, deployment and operation of data platforms on Microsoft Azure, with a strong focus on Microsoft Fabric, ensuring reliability, scalability and security in production environments.
 </li>
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 You work closely with data engineers, data scientists and application teams to industrialize data ingestion, transformation and consumption on Azure and hybrid platforms.
 </li>
 <li>
 You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases (batch and/or streaming), leveraging Azure data services and Microsoft Fabric capabilities.
 </li>
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 You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring) to accelerate delivery while keeping quality high.
 </li>
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 You participate in incident analysis, capacity planning and continuous improvement of the data platform, contributing to a strong reliability and performance culture.
 </li>
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 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new platform capabilities, such as new Microsoft Fabric workspaces, data products or self-service data features for business teams.
 </li>
 <li>
 You can be involved in migration projects from legacy on-premise solutions to Azure and Microsoft Fabric, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around modern data stack components and best practices on Azure.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in data platform engineering on Azure, from build to run. You will strengthen your skills in Azure data services and Microsoft Fabric, data storage and processing, automation, observability and reliability, while gaining experience on real-life, large-scale data use cases. You will also develop your ability to collaborate with cross-functional teams, translate business and analytics needs into robust data platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
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 Benefits of the role
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior Data Platform Engineer, Data Platform Tech Lead or roles focused on data architecture. You will also be able to move towards positions combining data platform engineering with AI/ML or BI, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, BI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: data engineer, platform engineer, DevOps engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge and hands-on experience with Microsoft Azure, in particular its managed services for data (for example Azure Data Lake, Azure Synapse, Azure SQL, Azure Databricks) and Microsoft Fabric.
 </li>
 <li>
 Solid experience with data processing and pipelines (for example SQL, Python, Spark or equivalent), in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools), ideally applied to Azure environments.
 </li>
 <li>
 Familiarity with modern data platforms and tools on Azure and Microsoft Fabric, and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of data security, governance, reliability and performance considerations for production data platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data engineers, data scientists, architects and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving data and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable data services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
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 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Data Platform Engineer

IDEA Public Schools

<div>
 
 Description
 
 
 
 Data Platform Engineer
 
 
 This is a vacancy for the 26-27 school year with a target start date of July 1, 2026
 
 
 
 Mission
 
 
 
 The Data Platform Engineer builds and operates IDEA&rsquo;s data infrastructure on Snowflake, enabling reliable, scalable access to data that supports analytics, reporting, and research across multiple states. This role designs automated ingestion pipelines, optimizes platform performance and cost, and ensures the data platform functions as a production-grade system for downstream teams.
 
 
 Reporting to the Manager of Data Platform Engineering, this engineer works hands-on with ELT pipelines, infrastructure-as-code, and Snowflake administration while contributing to IDEA&rsquo;s transition from legacy ETL systems to a modern lakehouse architecture.
 
 
 
 Supervisory Responsibilities
 
 
 
 Individual contributor role with no direct reports. Senior engineers may mentor peers and lead technical initiatives.
 
 
 Location:
 
 
 This is a full-time remote position based in Texas, with preference given to candidates who live in Austin, El Paso, Houston, Permian Basin (Midland/Odessa), Rio Grande Valley, San Antonio, and Tarrant County (Fort Worth), or who are willing to relocate.
 
 
 
 Travel Expectations
 
 
 
 Minimal travel (5&ndash;10% annually) for collaboration, training, or critical implementation milestones.
 
 
 
 Essential Duties
 
 
 
 What You&rsquo;ll Do &ndash; Accountabilities
 
 
 <ul>
 <li>
 Design, build, and maintain automated ELT pipelines ingesting data from diverse source systems into Snowflake.
 </li>
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 Configure and manage cloud-native ingestion tools and custom Python-based pipelines when needed.
 </li>
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 Build and maintain Bronze-layer tables with schema evolution handling, audit metadata, and lineage.
 </li>
 <li>
 Implement ingestion-level validation and monitoring to catch issues early.
 </li>
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 Document source configurations, refresh schedules, and troubleshooting procedures.
 </li>
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 Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation needs.
 </li>
 <li>
 Administer Snowflake environments, including databases, schemas, warehouses, access controls, and security settings.
 
 
 </li>
 </ul>
 
 Additional Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Optimize performance and cost through warehouse sizing, clustering, query analysis, and resource monitoring.
 </li>
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 Manage Snowflake objects using infrastructure-as-code patterns.
 </li>
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 Implement security best practices including RBAC, encryption, auditing, and network policies.
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 Evaluate and adopt new Snowflake capabilities as appropriate.
 </li>
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 Own Terraform-based infrastructure definitions for Snowflake and related platform components.
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 Automate recurring operational tasks such as provisioning, access grants, and environment setup.
 </li>
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 Build CI/CD pipelines for infrastructure changes with testing and safe deployment practices.
 </li>
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 Develop reusable templates and modules to accelerate onboarding of new sources and domains.
 </li>
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 Maintain clear documentation and runbooks for platform operations.
 </li>
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 Implement monitoring and alerting for pipelines, platform health, and performance.
 </li>
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 Troubleshoot pipeline failures and platform issues using systematic root-cause analysis.
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 Embed observability (logging, metrics, alerts) into all production pipelines.
 </li>
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 Collaborate closely with Analytics Engineering, DataOps, and Data Governance partners.
 </li>
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 Participate in code reviews and design discussions.
 </li>
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 Share platform knowledge through documentation, mentoring, and team forums.
 </li>
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 Contribute to retrospectives and continuous improvement efforts.
 
 
 </li>
 </ul>
 Knowledge and Skills &ndash; Competencies
 
 
 <ul>
 <li>
 Make Strategic Decisions: This team member uses data, feedback, and insights to inform thoughtful decision-making, while considering the impact on their direct reports and team. They communicate decisions with clear rationale and begin to connect their choices to broader team objectives.
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 Manage Work and Teams: This team member sets clear, measurable goals and regularly reflects on progress, adjusting actions as needed. They prioritize work aligned with their goals using a task management system and consistently meet deadlines through effective time management.
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 Grow Self and Others: This team member regularly offers affirming and adjusting feedback, maintaining a positive balance that reinforces growth and motivation. They provide transparent, candid performance insights and offer consistent coaching and development aligned with individual goals, supporting both direct reports and cross-functional partners.
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 Build a Culture of Trust: This team member proactively builds strong personal and professional relationships with individual stakeholders and regularly seeks feedback to improve their work experience. They create a supportive environment where others feel safe to take risks and learn from mistakes without fear of retribution.
 </li>
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 Communicate Deliberately: This team member communicates thoughtfully by anticipating potential misunderstandings and providing necessary context to ensure clarity. They leverage structured communication channels to address challenges, ask meaningful questions, and guide conversations toward solutions, while actively listening to the concerns of others.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 Additional Skills:
 
 
 <ul>
 <li>
 Hands-on experience administering Snowflake or similar cloud data platforms.
 </li>
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 Strong SQL skills for data extraction, validation, and performance tuning.
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 Experience building and operating automated data pipelines.
 </li>
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 Proficiency with Python and scripting for automation and operational tooling.
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 Experience operating production systems with monitoring and incident response.
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 Familiarity with infrastructure-as-code and CI/CD concepts.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
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 Experience with cloud-native ingestion tools (e.g., Fivetran, Airbyte).
 </li>
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 Experience with Terraform or similar IaC tooling.
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 Familiarity with dbt and analytics engineering workflows.
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 Exposure to orchestration, data quality, or observability tools.
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 Experience with education, public sector, or regulated data environments.
 
 
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 </ul>
 
 Required Education And Experience
 
 
 
 <ul>
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 Bachelor&rsquo;s degree in a technical field or equivalent practical experience.
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 3+ years of experience in data engineering, platform engineering, or related roles.
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 Demonstrated experience building and operating production data systems.
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 Hands-on experience with Snowflake or comparable cloud data warehouses.
 
 
 </li>
 </ul>
 
 Preferred Education And Experience
 
 
 
 <ul>
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 Snowflake or cloud platform certifications.
 </li>
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 Experience supporting multi-team data platforms at scale.
 </li>
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 Strong Python proficiency beyond basic scripting.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Prolonged periods working on a computer and in virtual meetings
 </li>
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 Ability to travel domestically via car and air travel to campuses and state office
 </li>
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 Flexibility for occasional evening meetings with distributed stakeholders across time zones
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Compensation &amp; Benefits:
 
 
 Salaries for people entering this role typically fall between $89,600 and $105,300, commensurate with relevant experience and qualifications and in alignment with internal equity. This role is also eligible for performance pay based on organizational performance and goal attainment.
 
 
 Additionally, we offer medical, dental, and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, referral bonuses, professional development, and a 403(b) plan. You can find more information about our benefits at https://ideapublicschools.org/careers/benefits/.
 
 
 <ul>
 <li>
 IDEA may offer a relocation stipend to defray the cost of moving for this role, if applicable.
 
 
 </li>
 </ul>
 
 Application Process
 
 
 
 Submit your application online through Jobvite. Please note that applications will be reviewed on an ongoing basis until the position is filled. Applicants are encouraged to apply as early as possible.
 
 
 Learn more about IDEA
 
 
 At IDEA the Staff Experience Team uses our Core Values to promote human connection and a culture of integrity, respect, and belonging for all Team and Family members. Learn more about our Commitment to Core Values here: https://ideapublicschools.org/our-story/#core-values
</div>

Data Platform Engineer (26-27)

PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls.</li>
<li>Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.</li>
<li>Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments.</li>
<li>Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in &lt;100ms.</li>
<li>Proficient with Containerization, Docker, Kubernetes and cluster-level management.</li>
<li>Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment.
</li><li>Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.</li>
<li>Excellent communication skills, stakeholder management and outstanding problem-solving skills.</li>
<li>Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.</li>
<li>Should have been a key contributor to projects through the entire development lifecycle from concept to release.</li>
</ul><h1 class="jobSectionHeader">What makes you stand out:</h1>
<ul><li>Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform.</li>
<li>Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.</li>
<li>Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.</li>
<li>Enabling self-service for Data teams for pipeline development and deployment.</li>
<li>Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.</li>
</ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $100,000 to $150,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 4/23/2026<div><h1 class="jobSectionHeader">
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Booz Allen Hamilton

<div>Data Platform Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you&rsquo;ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you&rsquo;ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You&rsquo;ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in application development</li><li>
5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale</li><li>
3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
3+ years of experience building scalable ETL/ELT workflows for reporting and analytics</li><li>
Experience creating solutions within a collaborative and cross-functional team environment</li><li>
Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms</li><li>
Public Trust</li><li>
Bachelor&rsquo;s degree</li></ul>
Nice If You Have:<ul><li>
Experience with Python, SQL, Scala, or Java</li><li>
Experience with UNIX and Linux, including basic commands and Shell scripting</li><li>
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud</li><li>
Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</li><li>
Experience working on real-time data and streaming applications</li><li>
Experience with NoSQL implementation, including MongoDB or Cassandra</li><li>
Experience with data warehousing using AWS Redshift, MySQL, or Snowflake</li><li>
Experience with Agile engineering practices</li></ul> 
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Apptronik

<div><div>Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. 
 
We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.</div>
JOB SUMMARY

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
<ul>
<li>Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.</li>
<li>Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.</li>
<li>Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.</li>
<li>Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.</li>
<li>Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.</li>
<li>Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.</li>
<li>Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.</li>
<li>Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.</li>
</ul>
SKILLS AND REQUIREMENTS
<ul>
<li>Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.</li>
<li>Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.</li>
<li>Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.</li>
<li>Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.</li>
<li>Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.</li>
<li>Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.</li>
<li>Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.</li>
<li>API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.</li>
<li>Preferred Qualifications:</li>
<li><ul><li>Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.</li>
<li>Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.</li>
<li>Experience with data catalog, lineage, or governance tooling.</li>
<li>Knowledge of streaming architectures and event-driven systems in production environments.</li>
</ul></li>
</ul>EDUCATION and/or EXPERIENCE
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.</li>
<li>Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.</li>
<li>Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.</li>
</ul>
PHYSICAL REQUIREMENTS
<ul>
<li>Prolonged periods of sitting at a desk and working on a computer</li>
<li>Must be able to lift 15 pounds at times</li>
<li>Vision to read printed materials and a computer screen</li>
<li>Hearing and speech to communicate</li></ul><div> 
<ul><li>This is a direct hire. Please, no outside Agency solicitations.</li></ul>

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div></div>

Trulioo

<div>Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online.
Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries.
But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we&rsquo;re proud to be recognized as a BC Top Employer for the second consecutive year, reflecting our commitment to an inclusive, collaborative, and people-first workplace.
Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite.
What We Offer<ul><li>
Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education &amp; training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.</li><li>
Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.</li><li>
Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.</li><li>
Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.</li></ul>
Position Summary
We are seeking a skilled Data Platform Engineer with a proven track record of innovation to design, build, and maintain robust data systems that power person and business search and verification services. The ideal candidate has experience integrating diverse data sources, developing scalable ETL pipelines, and applying ML techniques to improve data quality, entity resolution, and semantic search.
This role spans multiple data systems &mdash; relational, NoSQL, vector databases, search engines, and optionally graph databases &mdash; offering opportunities to tackle complex data challenges at scale.
This will be a full-time, permanent position, working out of the San Diego office on a hybrid model (3 days per week in the office).
What You&rsquo;ll Be Doing:<ul><li>
Build, optimize, and maintain data ingestion and transformation pipelines from multiple sources (internal systems, vendor data, web data, APIs).</li><li>
Design and implement data models using the most suitable tool for the task &mdash; SQL, NoSQL, GraphDBs, or VectorDBs.</li><li>
Integrate machine learning models into pipelines for entity resolution, de-duplication, semantic enrichment, and embedding generation.</li><li>
Work with Vector Databases (e.g., AWS S3 Vector, PostgresVectorDb, OpenSearch) to support similarity and semantic search applications.</li><li>
Collaborate with data scientists, software engineers, and analysts to deliver reliable, high-performance data infrastructure.</li><li>
Ensure data quality, consistency, and performance monitoring across all pipelines and systems.</li></ul>
What You&rsquo;ll Bring:<ul><li>
5+ years of professional software development or data engineering experience.</li><li>
Strong programming skills in Python.</li><li>
Experience with data modeling and schema design in SQL and NoSQL systems.</li><li>
Experience designing and maintaining data pipelines (Airflow, Dagster, Prefect, or similar).</li><li>
Proficiency with cloud-based data services (AWS, GCP, Azure).</li><li>
Proficiency in multiple programming languages.</li><li>
Experience with entity resolution or record linkage algorithms.</li><li>
Experience incorporating ML workflows into ETL pipelines.</li><li>
Hands-on experience with Vector Databases and embedding-based search pipelines.</li><li>
Familiarity with graph databases (Neo4j, Neptune, or Gremlin) for ETL, modeling, and querying.</li><li>
Experience with OpenSearch / Elasticsearch, including index creation, tuning, and advanced queries.</li><li>
Familiarity with streaming data systems (Kafka, Kinesis) or distributed processing frameworks (Spark, Flink).</li><li>
Knowledge of semantic search, RAG pipelines, or LLM-enhanced retrieval.</li><li>
Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines.</li><li>
Background in information retrieval, knowledge graphs, or data platform architecture.</li><li>
Experience using data catalog/lineage tools (OpenMetadata, DataHub, etc.).</li><li>
Strong experience with modern ETL tools for both large and small data processing (PySpark, Dask, DuckDB, etc.).</li></ul>
Nice to Have:<ul><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and collaboration across technical and non-technical teams.</li><li>
Curious, proactive, and adaptable to emerging data technologies.</li><li>
Self-starter with ownership and accountability for delivering high-quality solutions.</li></ul>
Thriving at Trulioo
At Trulioo, you&rsquo;re not just an employee. You&rsquo;re a valued member of our Trulicrew on a journey of professional and personal growth with a world-class organization. With Trulioo, you have the power to revolutionize the intersection of technology, digital trust and online identity to open the global economy to everyone. Together, we can shape the digital future.
We&rsquo;re on the lookout for exceptional people to empower with trust, autonomy and the freedom to cultivate their potential. Your curiosity, meticulous attention to detail and passion to contribute are highly valued. If that resonates with you, apply today to become a part of our team. Join us in shaping a future where your career isn&rsquo;t just a journey but also a boundless exploration into the possibilities of technology and digital identity verification. 
 
 
Get an inside look at life at Trulioo by following us on LinkedIn, or learn more about us at www.trulioo.com
If you don&rsquo;t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply.
Trulioo welcomes applications from people with disabilities. Support is available upon request for candidates taking part in all aspects of the selection process. Finally, we know from time-to-time emergencies happen and you may need to reschedule an interview - we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.
Privacy Notice
As part of our job application process, Trulioo collects, processes, and discloses personal data for the purpose of identifying suitable candidates for our job openings. For more detail, please visit Trulioo&rsquo;s Website Privacy Policy in the section &ldquo;When you apply for a job&rdquo;.
Compensation Range: $120K - $150K</div>

Fractal

<div>
 
 
 AI and Data Platform Engineer
 
 
 
 Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.
 
 
 Please visit
 
 Fractal | Intelligence for Imagination
 
 for more information about Fractal.
 
 
 
 
 We are looking for a strong AI Engineer who thrives at the intersection of AI assisted development, data platform engineering, and high velocity delivery.
 
 
 This role focuses on delivering high‑quality, scalable, and governed data assets through spec‑driven development, AI‑enabled engineering workflows, and standardized data patterns. You will work closely with platform, DevOps, SRE, and analytics consumers to enable self‑service analytics while reducing operational toil through automation and reuse.
 
 
 This is a hands‑on engineering role for someone who enjoys modern data engineering, high engineering rigor, and rapid, AI‑accelerated delivery. You may need to work with PST overlapping hours.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 Spec‑Driven &amp; AI‑Accelerated Data Engineering
 
 
 <ul>
 <li>
 Deliver high‑quality data ingestion, transformation, and modeling solutions using Fabric and associated Azure services through spec‑driven development.
 </li>
 <li>
 Apply AI‑enabled development workflows using tools such as GitHub Copilot and LLM‑assisted coding to maximize development velocity without compromising quality.
 </li>
 <li>
 Translate business and analytics requirements into clear technical specifications, schemas, transformations, and acceptance criteria.
 </li>
 <li>
 Participate actively in automated reviews, AI‑assisted refactoring, and iterative improvements.
 </li>
 </ul>
 
 
 Data Pipelines &amp; Modeling
 
 
 <ul>
 <li>
 Build modular, reusable, and testable pipeline components aligned with standardized data patterns.
 </li>
 <li>
 Design and implement ingestion and transformation pipelines using Fabric‑native constructs (Lakehouse, Warehouse, Notebooks, Dataflows Gen2).
 </li>
 <li>
 Optimize transformations for scale, performance, and cost efficiency.
 </li>
 <li>
 Ensure pipelines are dependency‑aware, well‑orchestrated, and production‑ready.
 </li>
 </ul>
 
 
 
 
 
 Self‑Service Analytics Enablement
 
 
 <ul>
 <li>
 Produce consumer‑ready, tested, and governed datasets to enable self‑service analytics for business and analytics users.
 </li>
 <li>
 Apply strong data modeling practices (relational, dimensional, and analytical models) to support reporting and insights.
 </li>
 <li>
 Ensure data quality through validation checks, reconciliations, and automated testing.
 </li>
 <li>
 Platform Collaboration &amp; Production Readiness
 </li>
 <li>
 Collaborate closely with DevOps, SRE, and QA engineers to ensure production readiness and operational reliability.
 </li>
 <li>
 Follow consistent CI/CD, testing, and release practices across environments.
 </li>
 <li>
 Support investigation and resolution of data issues by improving pipeline robustness and observability.
 </li>
 </ul>
 
 
 Engineering Excellence &amp; Automation
 
 
 <ul>
 <li>
 Participate in code and design reviews, upholding engineering standards for quality, performance, and maintainability.
 </li>
 <li>
 Build reusable data assets and automated workflows to reduce manual data support and operational effort.
 </li>
 <li>
 Continuously improve reliability, reusability, and maintainability of data solutions.
 </li>
 </ul>
 
 
 
 Qualifications &amp; Experience
 
 : Core Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or related field
 </li>
 <li>
 4+ years of professional software, data, or AI engineering experience
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 SQL (advanced querying and optimization)
 </li>
 <li>
 Data modeling (relational, dimensional, and analytical models)
 </li>
 <li>
 Distributed data processing concepts
 </li>
 <li>
 AI Engineering &amp; Development Velocity
 </li>
 <li>
 Demonstrated experience using AI assisted development / vibe coding to accelerate delivery
 </li>
 <li>
 Comfort working from detailed specifications rather than exploratory coding alone
 </li>
 <li>
 Strong engineering discipline: clean code, modular design, automated testing
 </li>
 <li>
 Fabric &amp; Azure (Required / Strongly Preferred)
 </li>
 </ul>
 
 
 Experience with strong exposure to:
 
 
 <ul>
 <li>
 Lakehouse, Warehouse, Notebooks, Dataflows Gen2
 </li>
 <li>
 OneLake concepts
 </li>
 </ul>
 
 
 Prior experience with:
 
 
 <ul>
 <li>
 Databricks (Spark, notebooks, pipelines)
 </li>
 <li>
 Azure services such as ADLS, Azure SQL, Synapse
 </li>
 <li>
 Ability to translate Databricks patterns into Fabric native implementations
 </li>
 </ul>
 
 
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Forward thinking, self-starter mindset
 </li>
 <li>
 Strong problem solving and systems thinking skills
 </li>
 <li>
 Comfortable operating in ambiguity with clear specifications as the stabilizing force
 </li>
 <li>
 Passion for building end to end, production grade AI and data platforms
 </li>
 </ul>
 
 
 
 
 
 Pay
 
 
 
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
 
 
 
 
 
 
 Benefits:
 
 
 
 As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
 
 
 
 
 
 
 Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 
</div>

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