data platform engineer

BlackStone eIT

<div><p>BlackStone eIT is looking for a skilled <b>Data Platform Engineer</b> to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company&rsquo;s data processing and analytics needs.</p><p>
In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting-edge technologies and helping shape BlackStone eIT&rsquo;s data capabilities.</p><p></p>
Key Responsibilities<p>
Required Skills &amp; Technologies</p><ul><li>Python &mdash; async data pipelines, background jobs, scripting</li><li>PostgreSQL &mdash; schema design, migrations (Alembic), query optimization</li><li>Azure Data Lake Storage + Synapse Analytics</li><li>dbt &mdash; transformation, testing, documentation</li><li>Apache Airflow or Azure Data Factory</li><li>Data quality frameworks (Great Expectations, dbt tests, or custom)</li><li>Observability &mdash; structured logging, alerting, Azure Monitor or Prometheus/Grafana</li><li>Microsoft Graph API &mdash; SharePoint, M365 data extraction</li><li>Redis &mdash; queue management, caching</li><li>Docker &mdash; containerized pipeline jobs</li><li>SQL &mdash; advanced analytical queries, window functions, performance tuning</li></ul><ul><li>
Develop and maintain data pipelines for ingestion, processing, and storage of large datasets</li><li>
Implement ETL/ELT processes to transform raw data into usable formats</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver solutions</li><li>
Ensure data quality, consistency, and reliability across platforms</li><li>
Optimize database performance and monitor platform health</li><li>
Assist in the design and implementation of data governance and security measures</li><li>
Document data infrastructure and processes for operational clarity</li></ul><br>
<b>
Requirements</b><br>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field</li>
<li>3+ years of experience in data engineering or data platform development</li>
<li>Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL</li>
<li>Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar</li>
<li>Experience with cloud platforms (AWS, Azure, or Google Cloud)</li>
<li>Knowledge of Python or another programming/scripting language for data processing</li>
<li>Understanding of data security, governance, and quality best practices</li>
<li>Strong analytical and problem-solving skills</li>
<li>Good communication skills and ability to work effectively in a team environment</li><br>
</ul><br>
<br>
<b>Benefits</b><br>
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

Toll Brothers

<div><p><b>Join an award-winning company!</b></p><p></p><p><b><br>
Who are we?</b></p><p></p><p><br>
Since 1967, Toll Brothers has been building luxury homes and communities in the best locations in the U.S. Today, we&rsquo;re a Fortune 500 company operating in over 60 markets. We&rsquo;re the country&rsquo;s premier luxury builder with the widest range of product offerings and price points in the industry, serving first-time, move-up, active-adult, and second-home buyers.</p><p></p><p><br>
From the homes we build to the talent we recruit, we know that to be the best, we have to work with the best. Toll Brothers is a place where diverse perspectives and experiences are welcomed and where employees of all backgrounds are treated with fairness, dignity and respect. We believe every employee should feel safe to be their true and authentic self at work. Our employees are our family, and we strive to uphold the values that our founders instilled in us, creating an exceptional place to work that is inclusive to all.</p><p><br>
</p><p><b>Toll Brothers</b>, America's Luxury Home Builder, seeks a <b>Data Platform Engineer</b> to join our team at our Corporate Office in Fort Washington, Pennsylvania.</p><p></p><p><b><br>
What is the opportunity?</b></p><p></p><p><br>
The Data Platform Engineer is responsible for the design, administration, optimization, and operational support of enterprise data platforms across hybrid environments, including Microsoft Azure and on-premises SQL Server infrastructure. This role combines advanced SQL Server Database Administration with Azure data platform engineering, ensuring high availability, performance, security, and reliability of mission-critical database systems and data integration services.</p><p></p><p><br>
The engineer will manage Azure SQL services and on-premises SQL Server environments, support enterprise data integration pipelines, collaborate with application and analytics teams, and implement governance, monitoring, automation, and cost-optimization best practices across the organization&rsquo;s data ecosystem.</p><p></p><p><b><br>
What are the primary responsibilities?</b></p><p></p><p><b><br>
Data Infrastructure &amp; Integration Engineering</b></p><ul><li>
Maintain Azure resources supporting data integration and movement, including Azure Data Factory, Azure networking and connectivity (Private Endpoints, VNETs, firewalls)</li><li>
Support scheduling, monitoring, and reliability of data pipelines and integrations</li><li>
Partner with application, analytics, and integration teams to onboard new data sources</li><li>
Ensure data integration platforms meet performance, availability, and security standards</li><li>
Manage Azure resources using Infrastructure as Code (ARM, Bicep)</li><li>
Implement monitoring and alerting using Azure Monitor, Log Analytics, and alerts</li><li>
Enforce resource governance, tagging standards, and cost-optimization practices</li><li>
Participate in incident response, on-call support, and operational readiness reviews</li><li>
Document standards, procedures, and architectural decisions</li><li>
Support, maintain, and troubleshoot SSIS packages.</li><li>
Deploy and manage SSIS packages using SSIS Catalog (SSISDB).</li><li>
Support, maintain, and troubleshoot SSIS packages.</li><li>
Support and manage Azure Integration Services (AIS) components, including ADF</li><li>
Optimize data integration workflows for performance and reliability.</li><li>
Support ADF pipelines, linked services, datasets, and integration runtimes.</li></ul><p><b>
Database Administration</b></p><ul><li>
Administer and support Azure SQL Managed Instance, Azure SQL Database, and SQL Server on VMs</li><li>
Perform database provisioning, configuration, patching, upgrades, and decommissioning</li><li>
Manage backup, restore, high availability, and disaster recovery strategies</li><li>
Monitor and tune database performance, capacity, and resource utilization</li><li>
Support change management, release coordination, and production deployments</li><li>
Troubleshoot database incidents and perform root-cause analysis</li><li>
Implement database security best practices, including role-based access, encryption, auditing, and vulnerability assessments.</li><li>
Manage authentication and authorization using Azure AD and SQL security.</li></ul><p><b>
Governance, Security &amp; Cost Management</b></p><ul><li>
Enforce Azure governance standards (naming, tagging, access policies)</li><li>
Monitor and optimize Azure consumption and costs for database and integration services</li><li>
Support audits, compliance reviews, and security assessments</li><li>
Apply change management and release governance best practices</li><li>
Implement and manage security controls, including authentication, authorization, encryption, auditing, and compliance</li></ul><p></p><p><br>
This is an excellent opportunity to join one of the nation's most respected Fortune 500 company!</p></div><p></p>
<br><div><p>Qualifications</p><div><p><b>
Do you have these qualifications?</b></p><ul><li>
3+ years of hands-on experience in Azure SQL Server database administration or data platform engineering</li><li>
Strong expertise with SQL Server and Azure SQL services (Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure VMs)</li><li>
Strong expertise in SQL Server (2016+)</li><li>
Solid experience supporting SSIS packages</li><li>
Experience in creating and maintaining Azure DevOps CI/CD pipelines</li><li>
Strong knowledge of:</li><ul><li>
T-SQL performance tuning</li><li>
Indexing strategies</li><li>
Backup and recovery</li><li>
High availability and disaster recovery</li></ul><li>
Experience with PowerShell or automation scripting</li></ul><p>
We offer an excellent compensation and benefits package that includes comprehensive medical/dental, 401(k) with a company match, discounted stock purchase, discounts on mortgages, homes, and much more!</p><p></p><p><b><br>
Come see why Toll Brothers has been attracting and retaining some of the best professionals in the industry!</b></p><p><b><br>
APPLY ONLINE TODAY!</b></p><p></p><p><br>
Toll Brothers is committed to ensuring equal employment opportunity. All employment decisions, policies, and practices are in accordance with applicable federal, state, and local anti-discrimination laws. Toll Brothers will not engage in or tolerate unlawful discrimination (including any form of unlawful harassment) on account of a person's sex (including pregnancy), age, race, color, religion, national origin, ancestry, citizenship, physical or mental disability, sexual orientation, gender nonconformity, status as a transgender individual, gender identity, genetic information, marital status, family responsibility, armed services, or any other status protected by law.</p></div></div><p></p>

Accenture Federal Services

<div></div><div><div><div><div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.</div>
<div></div>
<div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.</div>
<div></div>
<div>Join us to drive positive, lasting change that moves missions and the government forward!</div><br>
<div></div>
</div></div><p>
Accenture Federal Services is seeking a Data Platform Engineer to join our secure cloud platform team supporting government customers at Hill Air Force Base. This role is execution-focused with strong data platform engineering depth &mdash; you will design, build, and operate the streaming and batch data pipelines, lakehouse patterns, and platform services that enable rapid, secure delivery across a complex government program. The ideal candidate brings hands-on GitOps and infrastructure-as-code expertise, is comfortable in classified multi-network environments, and embodies extreme ownership.</p>
<p><b>
What Success looks like:
</b></p><ul><li>Data pipelines are reliable, automated, and instrumented with observability and quality gates.</li>
<li>Platform services (Kafka, Airflow, Spark, EMR/Glue/Redshift) are standardized and version-controlled.</li>
<li>Infrastructure is defined as code and operated through GitOps &mdash; no snowflake systems.</li>
<li>Security and compliance controls are embedded into pipelines and platform services.</li>
<li>You operate with minimal supervision and proactively close gaps.</li>
</ul>
<p><b>What you'll do:</b></p>
<ul>
<li><b>DevOps &amp; Platform Engineering</b></li>
</ul><ul><li><ul><li>Design, implement, and maintain CI/CD for data pipelines and platform services</li>
<li>Build and manage IaC using Terraform, Ansible, and AWS CDK</li>
<li>Operate tooling: Crossplane, Backstage, Argo CD</li>
<li>Implement GitOps workflows using GitLab/GitHub</li>
<li>Manage Kubernetes and Docker for data services</li>
</ul></li></ul><ul><li><b>Cloud Infrastructure &amp; Operations</b></li>
</ul><ul><li><ul><li>Design secure, scalable data platform architectures on AWS GovCloud and Azure Government</li>
<li>Optimize network architecture for data movement</li>
<li>Manage IAM and secrets for pipelines</li>
<li>Administer Linux/Windows systems with monitoring and logging</li>
<li>Troubleshoot and optimize pipelines (Kafka/Spark tuning, S3/Redshift patterns)</li>
</ul></li></ul><ul><li><b>Security &amp; Compliance</b></li>
</ul><ul><li><ul><li>Implement security controls aligned with NIST, FedRAMP, and DISA STIG</li>
<li>Embed data governance: classification, lineage, retention, encryption</li>
<li>Integrate automated security and policy-as-code checks</li>
<li>Support audits, ATO, and compliance assessments</li>
<li>Manage encryption, keys, and access in classified networks</li>
</ul></li></ul><ul><li><b>Collaboration &amp; Continuous Improvement</b></li>
</ul><ul><li><ul><li>Operate within SAFe Agile ceremonies</li>
<li>Mentor peers and drive engineering standards</li>
<li>Identify optimization opportunities across platform components</li>
<li>Document runbooks and operational procedures</li>
</ul></li>
</ul><p><b>Ideal Technical Background:
</b></p><ul><li>Kafka, Airflow, Spark; AWS EMR, Glue, Redshift</li>
<li>Lake/lakehouse architecture and large-scale data movement</li>
<li>GitOps &amp; IaC: Terraform, Ansible, AWS CDK</li>
<li>CI/CD: GitLab/GitHub</li>
<li>Kubernetes, Docker</li>
<li>Crossplane, Backstage, Argo CD preferred</li>
<li>Python, Bash, PowerShell; Linux/Windows</li>
<li>Strong AWS experience (GovCloud preferred)</li>
</ul>
<p><b>What you'll need:
</b></p><ul><li>5 years of cloud, infrastructure, or data platform engineering experience</li>
<li>3 years of designing secure data platform architectures</li>
<li>Hands-on experience with IaC and DevOps in production</li>
<li>Experience in classified environments (ex: NIPR/SIPR/JWICS)</li>
<li>Background in data engineering and security hardening</li>
</ul>
<p><b>Bonus Points if you have:
</b></p><ul><li>Bachelor's degree</li>
<li>AWS or Azure certifications</li>
<li>Security+ or equivalent</li>
<li>CKA/CKAD</li>
<li>CISSP or advanced security certifications</li>
<li>Agile/Scrum certifications</li>
<li>Familiarity with accreditation frameworks</li>
<li>Data modeling and warehouse design (Redshift or equivalent)</li>
<li>Streaming patterns and stateful processing</li>
<li>Data catalog and lineage tooling</li>
<li>GPU-accelerated data processing (CUDA/cuDNN) as a plus</li>
<li>Multi-cloud architecture and advanced networking</li>
<li>Configuration management (Ansible/Chef/Puppet)</li>
</ul>
<p><b>Clearance:</b>
<br>
Must have an active Top Secret level clearance</p><div><div><div><br>
<div></div>
<div><b><i>What We Believe</i></b><b><i>
</i></b></div><div><i>As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.</i></div>
</div>
<div></div><div><b><i>Equal Employment Opportunity Statement</i></b></div>
<div><i>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the</i><i> Accenture Federal Services Equal Opportunity Policy Statement.</i></div>
<div></div>
<div><i>Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.</i></div>
<div></div>
<div><b><i>Requesting An Accommodation</i></b></div>
<div><i>Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</i></div>
<div></div>
<div><i>If you</i><b><i> </i></b><i>are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.</i></div>
<div></div>
<div><b><i>Other Employment Statements</i></b></div>
<div><i>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</i></div>
<div></div>
<div><i>Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.</i></div>
<div></div>
<div><i>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.</i></div>
<div></div>
<div><i>The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</i></div>
<div></div>
<div><i>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please </i><i>click here</i><i> for additional important information.</i></div></div></div></div><p></p>

Johnson & Johnson

<div><p>At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.</p><p>
As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.</p><p><b>
Job Function:
</b></p>Technology Product &amp; Platform Management<p><b>
Job Sub Function:
</b></p>Software Engineering &ndash; Full Stack<p><b>
Job Category:</b></p>
Scientific/Technology<p><b>
All Job Posting Locations:</b></p>
Raritan, New Jersey, United States of America<p><b>
Job Description:</b></p><p><b>
Employer:</b> Janssen Research &amp; Development LLC</p><p><b>
Job Title:</b> Lead, Data Platform Engineer</p><p><b>
Job Code:</b> A011.10409</p><p><b>
Job Location: </b>Raritan, NJ</p><p><b>
Job Type:</b> Full-Time</p><p><b>
Rate of Pay:</b> $132,000 - $150,000</p><p><b>
Job Duties:</b> Design, build, and maintain scalable data platform technologies that support all of the capabilities powering our AI, machine learning, GenAI, and data science teams&rsquo; work. Work as a critical technical leader on our data platform team to design, develop, and operate an end-to-end data platform that drives pharmaceutical research &amp; development across our business. Innovate and shape our platform strategy and innovation with our business to enable new areas of science within our research &amp; development group. Work with Data Product Owners to design, develop, and maintain data pipelines using Snowflake or Databricks, Airflow, DBT, and Streamsets. Collaborate with data product owners, data scientists, analysts, and other partners to understand data requirements and deliver high-quality data platforms and solutions. Implement data integration, transformation, and validation processes to ensure data accuracy and consistency. Optimize data workflows for performance, scalability, and reliability. Monitor and solve data pipeline issues, ensuring timely resolution.</p><p><b>
Requirements:</b> Employer will accept a Bachelor's degree in Computer Science, Engineering, Information Systems or a related field and 3 years of experience in the job offered or in a Lead, Data Platform Engineer-related occupation.</p><p>
This job posting is anticipated to close on <b>5/26/2026.</b></p><p>
Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.</p><p>
Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.</p><p>
Subject to the terms of their respective plans, employees are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension) and savings plan (401(k)).</p><p>
This position is eligible to participate in the Company&rsquo;s long-term incentive program.</p><p>
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:</p><ul><li>
Vacation &ndash;120 hours per calendar year</li><li>
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado &ndash;48 hours per calendar year; for employees who reside in the State of Washington &ndash;56 hours per calendar year</li><li>
Holiday pay, including Floating Holidays &ndash;13 days per calendar year</li><li>
Work, Personal and Family Time - up to 40 hours per calendar year</li><li>
Parental Leave &ndash; 480 hours within one year of the birth/adoption/foster care of a child</li><li>
Bereavement Leave &ndash; 240 hours for an immediate family member: 40 hours for an extended family member per calendar year</li><li>
Caregiver Leave &ndash; 80 hours in a 52-week rolling period10 days</li><li>
Volunteer Leave &ndash; 32 hours per calendar year</li><li>
Military Spouse Time-Off &ndash; 80 hours per calendar year</li><li>
This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.</li><li>
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits</li></ul><p><b>
Required Skills:
</b></p><p><b>Preferred Skills:</b></p></div>

Lead, Data Platform Engineer

Fractal

<div>
 <p>
  <strong>
   AI and Data Platform Engineer
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  Please visit
  <strong>
   Fractal | Intelligence for Imagination
  </strong>
  for more information about Fractal.
 </p>
 <p>
 </p>
 <p>
  We are looking for a strong AI Engineer who thrives at the intersection of AI assisted development, data platform engineering, and high velocity delivery.
 </p>
 <p>
  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.
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Spec‑Driven &amp; AI‑Accelerated Data Engineering
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Data Pipelines &amp; Modeling
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Self‑Service Analytics Enablement
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Engineering Excellence &amp; Automation
  </strong>
 </p>
 <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>
 <p>
  <strong>
   <u>
    Qualifications &amp; Experience
   </u>
   : Core Requirements
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Experience with strong exposure to:
  </strong>
 </p>
 <ul>
  <li>
   Lakehouse, Warehouse, Notebooks, Dataflows Gen2
  </li>
  <li>
   OneLake concepts
  </li>
 </ul>
 <p>
  <strong>
   Prior experience with:
  </strong>
 </p>
 <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>
 <p>
  <strong>
   <u>
    Personal Attributes
   </u>
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   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.
  </em>
 </p>
 <p>
 </p>
</div>


AI Data Platform Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Data Platform Engineer to build the foundational data systems that power our robotics and machine learning development. In this role, you will design and implement the infrastructure for collecting, storing, processing, and transforming the vast amounts of data generated by our robots&mdash;from sensor telemetry and video streams to operational logs and performance metrics.
<br>
You'll work closely with ML teams to ensure data is accessible, well-structured, and ready for training. Your work will enable research teams to iterate faster and operations teams to monitor fleet performance as we scale.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build scalable data pipelines for ingesting and processing robotics data (sensor streams, video, telemetry, logs)
</li><li>Develop and maintain data storage solutions optimized for diverse data types and access patterns
</li><li>Create tools and APIs for researchers and engineers to efficiently query and analyze large datasets
</li><li>Build real-time data processing systems for monitoring robot fleet performance
</li><li>Build and maintain data transformation pipelines that prepare robotics data for ML training
</li><li>Collaborate with ML and robotics teams to ensure data platforms meet their evolving needs
</li></ul><br>
About the team<br>
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.<br>
We believe that future won&rsquo;t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We&rsquo;re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.<br>
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We&rsquo;re building robots that feel responsive, expressive, and genuinely useful.<br>
At Fauna, you&rsquo;ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It&rsquo;s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.<br>
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we&rsquo;re interested in hearing from you.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in computer science, computer engineering, or related field, or experience in data science, machine learning or data mining</li><li>3+ years of data engineering experience</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience in Kafka, or experience in Hive/Spark/Hbase/Yarn and experience in software development</li><li>Experience with cloud computing technologies</li><li>Knowledge of distributed systems as it pertains to data storage and computing</li><li>Proficiency with data storage technologies (e.g., PostgreSQL, object storage)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with robotics or IoT data (time-series, video, point clouds)</li><li>Knowledge of streaming architectures and real-time analytics</li><li>Familiarity with ML techniques and how data preparation impacts model training</li><li>Experience with data cataloging, metadata management, and data discovery tools</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 145,300.00 - 196,600.00 USD annually</div><p></p>

Data Platform Engineer, Fauna

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.</p><p><b>
What we are building &mdash; now:</b></p><ul><li><p>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</p></li><li><p>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</p></li><li><p>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</p></li><li><p>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</p></li><li><p>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</p></li><li><p>
AI-enabled situational awareness and crisis management systems</p></li><li><p>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing</p><p>
governance operations the organization requires</p></li></ul><p><b>
How we work:</b></p><ul><li><p>
Small team, high ownership &mdash; every engineer owns a module end-to-end</p></li><li><p>
Two-week sprints with demonstrated output at every review</p></li><li><p>
Ship and improve &mdash; working systems beat perfect designs</p></li><li><p>
Core team owns all architecture and product decisions; external capacity executes within defined scope</p></li><li><p>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</p></li><li><p>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</p></li><li><p>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</p></li></ul>
</div><div><p>Anchors the data platform architecture and owns enterprise data extraction end-to-end.</p><p>
You are the senior technical owner of ATRC's data platform &mdash; the pipelines, staging layer, and infrastructure that every downstream system depends on. You define how data moves from enterprise source systems (SAP, M365, SuccessFactors) into a governed, queryable layer. You work directly with the Principal Data Architect on schema design and the Principal AI Engineer on data contracts for the agentic platform.</p><p>
In the first 30 days, your primary job is getting data out of SAP FI/CO and into a staging database so the executive portal can show real numbers. Everything else follows from that.</p><p><b>
What This Role Owns:</b></p><ul><li><p>
Platform architecture: pipeline design patterns, orchestration strategy, infrastructure-as-code, monitoring stack</p></li><li><p>
Enterprise data extraction: SAP FI/CO (budget, actuals, commitments via OData/RFC), Microsoft Graph API (SharePoint, M365), SuccessFactors OData API &mdash; you own the extraction approach and build the first pipelines yourself</p></li><li><p>
Staging layer design: PostgreSQL staging schema, raw-to-clean transformation patterns, refresh strategies</p></li><li><p>
Ingestion observability: logging standards, alerting on failures, monitoring dashboards for pipeline health</p></li><li><p>
Data quality framework: defining quality checks, deciding what pauses a pipeline vs. what triggers a warning</p></li><li><p>
Classification enforcement: working with the Governance Lead to embed automated classification tagging into every pipeline</p></li><li><p>
Technical mentorship: setting standards and reviewing work for the Senior Data Platform Engineer</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
SAP extraction method (OData, RFC, SAP Data Services, CDS views) based on available configuration</p></li><li><p>
Pipeline orchestration tool selection (Airflow, Azure Data Factory)</p></li><li><p>
Data quality failure handling &mdash; warning vs. pipeline stop</p></li><li><p>
Schema migration strategy</p></li><li><p>
Incremental vs. full load per source</p></li><li><p>
Deduplication key design across sources</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Define the data model or classification schema (Principal Data Architect)</p></li><li><p>
Define governance policies or classification levels (Governance Lead)</p></li><li><p>
Build application API endpoints (Backend Engineer)</p></li><li><p>
Write AI prompts or classification logic (AI Engineer)</p></li><li><p>
Build frontend components (Full Stack Engineer)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
Has designed and built a data platform from scratch in an enterprise environment &mdash; not inherited a running system, built one. Has pulled data from SAP or comparable ERP into a warehouse and survived upstream failures without silent data loss. Sets standards that other engineers can follow without three clarification meetings. Can make architecture calls quickly and correct them later. Has strong opinions about pipeline observability and data quality.</p>
</div><div><ul><li><p>SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views &mdash; hands-on experience pulling data from SAP FI/CO modules</p></li><li><p>
Python &mdash; async data pipelines, background jobs, scheduled tasks</p></li><li><p>
PostgreSQL &mdash; schema design, migrations (Alembic), query optimization, partitioning</p></li><li><p>
Azure Data Lake Storage + Synapse Analytics</p></li><li><p>
Microsoft Graph API &mdash; SharePoint, M365, organizational data</p></li><li><p>
Apache Airflow or Azure Data Factory</p></li><li><p>
dbt or equivalent for transformation and quality testing</p></li><li><p>
Redis &mdash; queue management, TTL, cache invalidation</p></li><li><p>
Observability &mdash; structured logging, Azure Monitor or Prometheus/Grafana</p></li><li><p>
Docker &mdash; containerized pipeline jobs</p></li><li><p>
Infrastructure-as-code (Terraform or equivalent)</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Data Platform Engineer

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