python aws data engineer

Revelio Labs

<div>
 Data Engineer at Revelio Labs, Inc., New York, NY (F/T)
 <br/>
 <br/>
 JOB DUTIES: Own and scale the companys infrastructure platform with a focus on large-scale data systems, container orchestration, and infrastructure automation. Architect and maintain high-performance infrastructure supporting large-scale distributed databases and real-time processing systems. Manage and optimize Kubernetes clusters (both on-premise and in cloud environments), including multi-tenant isolation, resource allocation, security, autoscaling, and application monitoring. Develop and maintain Infrastructure-as-Code (IaC) with full GitOps integration. Manage cloud infrastructure on AWS, including IAM roles, VPC networking, S3 storage policies, and integration with containerized workloads and external services. Design secure and scalable interfaces between cloud-native infrastructure and data platforms. Collaborate with data engineers and machine learning teams to build scalable data pipelines. Provide hands-on development of ETL jobs and data transformation workflows. Provide expert guidance on high availability, sharding, scaling strategies, storage engine internals, and performance tuning for diverse workloads. Own the full observability stack, including the design and maintenance of monitoring, logging, and alerting systems. Track and optimize infrastructure costs through usage-based metrics, implementing cost-efficient monitoring strategies, and proactively identify areas to cut waste across compute, storage, and network resources.
 <br/>
 <br/>
 JOB REQUIREMENTS: Position requires a Masters degree, or foreign equivalent, in Computer Science, Data Science, Data Analytics, Computer Engineering, or a closely related field, and completion of an internship (approx. 8-12 weeks) or equivalent experience. Full term of experience must include professional experience or internship experience in each of the following: Writing and debugging Python, Shell (Bash), and SQL code for use in infrastructure automation and data transformation workflows; Working with relational and NoSQL databases, including PostgreSQL and MySQL, to troubleshoot data issues, optimize query performance, and ensure data integrity for data pipelines; Implementing monitoring and troubleshooting processes to identify performance issues and ensuring data stability across infrastructure and data pipelines; Developing and maintaining CI/CD pipelines using GitHub Actions and YAML configurations to automate the building, testing, and deployment of Docker containers; and, Supporting cloud-based infrastructure by managing system configurations and updates through Git-based version control, containerization technologies, and laC.
 <br/>
 <br/>
 Telecommuting permitted from any U.S. location.
 <br/>
 <br/>
 SALARY: $160,000
 <br/>
 <br/>
 $200,000 per year
 <br/>
 <br/>
 QUALIFIED APPLICANTS: To apply, email resume to hannah@reveliolabs.com. Reference: Rev-9510813.
</div>


Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers&mdash;delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries.
<br>
<br>
Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)&mdash;collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity.
<br>
<br>
We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up&mdash;making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering&mdash;building robust, scalable infrastructure and data models&mdash;while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting&mdash;you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
</li></ul><br>
<ul><li>Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics
</li></ul><br>
<ul><li>Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact)
</li></ul><br>
<ul><li>Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
</li></ul><br>
<ul><li>Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales
</li></ul><br>
<ul><li>Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions
</li></ul><br>
<ul><li>Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
</li></ul><br>
<ul><li>Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization
</li></ul><br>
<ul><li>Operate with a high bar for operational excellence&mdash;owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers
</li></ul><br>
<ul><li>Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over
</li></ul><br>
About the team<br>
You will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up&mdash;you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data.
<br>
<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>3+ years of in the job offered or a related occupation experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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<br>
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually<br>
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.<br>
<br>
We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale.<br>
<br>
We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<p></p><div><div><div><div><div><div><div><div><div><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</p></li><li><p>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</p></li><li><p>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</p></li><li><p>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</p></li><li><p>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</p></li></ul><p></p><p><b>Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</p></li><li><p>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</p></li><li><p>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</p></li><li><p>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</p></li><li><p>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</p></li><li><p>
Advanced knowledge of cloud-based services (GCP, AWS)</p><p>
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</p></li><li><p>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</p></li><li><p>
Experience operating production machine learning and data systems in cloud and containerized environments.</p></li><li><p>
Experience in AdTech and GIS or geospatial data processing is a plus.</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><ul><li><p>
At least 18 years of age</p></li><li><p>
Legally authorized to work in the United States</p></li></ul><p></p><p><b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
<br>
<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No</p><p></p>
Base Pay Range: $116,500 - $210,100<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
<br>
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
<br>
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Applied Scientist

IDBNY

<div><p><b>SIEM Engineer &ndash; Job Description</b></p>
<p><b>
Role Overview</b></p>
<p>
The SIEM Engineer is responsible for designing, implementing, maintaining, and optimizing the organization's Security Information and Event Management (SIEM) platform. This role supports Security Operations by developing detection use cases, integrating log sources, improving threat visibility, and enhancing incident response capabilities across on-premises, cloud, and hybrid environments. The SIEM Engineer works closely with SOC analysts, incident responders, threat intelligence teams, infrastructure teams, and security leadership to strengthen the organization's cyber defense posture.</p>
<p><b>
Key Responsibilities</b></p>
<div>
<ul><li><b>SIEM Administration &amp; Engineering</b></li></ul>
</div><ul><li>Manage and maintain enterprise SIEM platforms.</li>
<li>Configure and optimize log ingestion, normalization, parsing, and retention.</li>
<li>Integrate security data sources including:</li>
<li><ul><li>Firewalls</li>
<li>IDS/IPS</li>
<li>EDR/XDR</li>
<li>Active Directory / Entra ID</li>
<li>Cloud platforms (Azure, AWS, GCP)</li>
<li>Network and endpoint security solutions</li>
</ul></li><li>Ensure availability, scalability, and performance of SIEM infrastructure.</li>
</ul><div><ul><li><b>Detection Engineering &amp; Use Case Development</b></li></ul>
</div><ul><li>Develop and maintain correlation rules, analytics, and detection content.</li>
<li>Create use cases aligned with MITRE ATT&amp;CK techniques.</li>
<li>Tune detection rules to reduce false positives and improve alert fidelity.</li>
<li>Work with Purple Team, Red Team, and Threat Intelligence teams to improve detection coverage.</li>
<li>Implement new monitoring capabilities for emerging threats.</li>
</ul><div><ul><li><b>Security Monitoring &amp; Incident Support</b></li></ul>
</div><ul><li>Support SOC operations through advanced threat detection and alert analysis.</li>
<li>Assist incident responders during investigations.</li>
<li>Correlate events across multiple technologies to identify malicious activity.</li>
<li>Perform root cause analysis and recommend containment improvements.</li>
<li>Develop dashboards and reporting for operational visibility.</li>
</ul><div><ul><li><b>Threat Hunting &amp; Threat Intelligence Integration</b></li></ul>
</div><ul><li>Develop hunting queries to identify malicious behavior not detected by automated alerts.</li>
<li>Integrate threat intelligence feeds into the SIEM platform.</li>
<li>Create indicators of compromise (IOC) monitoring and enrichment processes.</li>
<li>Identify suspicious trends and emerging attack patterns.</li>
</ul><div><ul><li><b>Automation &amp; Optimization</b></li></ul>
</div><ul><li>Automate SIEM administration and monitoring tasks using scripting.</li>
<li>Integrate SIEM with SOAR platforms and ticketing systems.</li>
<li>Develop workflows for alert enrichment, escalation, and incident response.</li>
<li>Improve operational efficiency through automation and orchestration.</li>
</ul><div><ul><li><b>Governance, Compliance &amp; Reporting</b></li></ul>
</div><ul><li>Support regulatory and audit requirements.</li>
<li>Maintain SIEM documentation, runbooks, and standards.</li>
<li>Produce security metrics and executive reporting.</li>
<li>Ensure log retention and monitoring practices meet compliance requirements.</li>
</ul>
<p><b>Required Qualifications</b></p>
<p><b>
Experience</b></p>
<ul>
<li>5+ years of cybersecurity experience.</li>
<li>3+ years managing and engineering SIEM platforms.</li>
<li>Experience supporting SOC operations and incident response.</li>
<li>Experience in financial services or regulated industries preferred.</li>
</ul>
<p><b>Technical Skills</b></p>
<ul>
<li>Expertise in platforms such as:</li>
<li><ul><li>Microsoft Sentinel</li>
<li>Splunk</li>
<li>QRadar</li>
<li>LogRhythm</li>
<li>Elastic Security</li>
<li>CrowdStrike NG-SIEM</li>
<li>Cribl</li>
</ul></li><li>Strong knowledge of:</li>
<li><ul><li>Windows and Linux security logs</li>
<li>Network security monitoring</li>
<li>EDR/XDR technologies</li>
<li>Threat hunting methodologies</li>
<li>MITRE ATT&amp;CK framework</li>
<li>Data ingestion pipelines</li>
</ul></li><li>Scripting experience:</li>
<li><ul><li>KQL</li>
<li>PowerShell</li>
<li>Python</li>
<li>SQL</li>
</ul></li>
</ul><p><b>Security Knowledge</b></p>
<ul>
<li>Log management and event correlation.</li>
<li>Detection engineering.</li>
<li>Threat intelligence.</li>
<li>Incident response processes.</li>
<li>Vulnerability management concepts.</li>
<li>Zero Trust security principles.</li></ul><br>
<p></p>
<p><b>
Preferred Certifications</b></p>
<ul>
<li>Microsoft Certified: Security Operations Analyst (SC-200)</li>
<li>Microsoft Sentinel Specialty</li>
<li>Splunk Enterprise Security Certified Admin</li>
<li>GIAC Certified Incident Handler (GCIH)</li>
<li>GIAC Certified Intrusion Analyst (GCIA)</li>
<li>CISSP</li>
</ul>
<p><b>Compensation</b><br>
The expected annual salary for this position is between $140,000 and $160,000 at the start of employment. A salary offer is determined on an individualized basis, taking into consideration factors such as an individual's skills and experience. In addition to base salary, our total rewards package also includes eligibility for an annual bonus, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement.<br>
Additional Information<br>
The Bank Will Make Reasonable Accommodations To The Following Employees To Allow Them To Perform The Essential Functions Of Their Position, Except Where Doing So Would Result In Undue Hardship To The Bank</p>
<ul>
<li>Those with a known mental or physical disability.</li>
<li>Pregnant individuals and/or individuals with pregnancy or childbirth-related medical conditions.</li>
<li>Victims of domestic violence, sex offenses or stalking.</li>
<li>Employees with religious observance and practice obligations.</li>
</ul>
<p>Any employee who believes he or she needs an accommodation for any of the above reasons should contact their supervisor or a member of Human Resources to request such an accommodation. In each case, the Bank will engage in a good faith written or oral dialogue concerning the individual's accommodation needs; potential accommodations that may address the individual's accommodation needs, including alternatives to a requested accommodation; and the difficulties that such potential accommodations may pose for the employer.<br>
The Bank retains the ultimate discretion to choose the appropriate reasonable accommodation. Upon reaching a final determination at the conclusion of the cooperative dialogue, the Bank will provide the requesting individual with a written final determination identifying any accommodation granted or denied. In addition, the Bank will maintain any information regarding the employee's request and status in the strictest confidence, except as requested by the employee, as required on a need-to-know basis or as otherwise required by law.<br>
<b>Disclaimer</b><br>
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.<br>
All your information will be kept confidential according to EEO guidelines.<br>
<b><i>We are operating on a Hybrid schedule.</i></b><br>
<b><i>NO AGENCIES PLEASE.</i></b><br>
IDB BANK, INCLUDING ITS SUBSIDIARIES AND DIVISIONS, PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, NATIONAL ORIGIN, AGE, DISABILITY, GENETIC STATUS, CITIZENSHIP STATUS, MARITAL STATUS, MILITARY OR VETERAN STATUS, CURRENT UNEMPLOYMENT OR ANY OTHER LEGALLY PROTECTED CATEGORY IN ACCORDANCE WITH APPLICABLE FEDERAL, STATE AND LOCAL LAW. NOTHING IN THIS SITE CONSTITUTES A PROMISE OR OFFER OF EMPLOYMENT.<br>
<b>Kindly review our </b><b>Privacy Notice</b><b> and </b><b>GLBA Consumer Privacy Notice</b><b>.</b><br>
<b>Kindly review our </b><b>Privacy Notice</b><b> and </b><b>GLBA Consumer Privacy Notice</b><b>.</b></p><p></p><div><p><b><br>
Kindly review our </b><b>Privacy Notice</b><b> and </b><b>GLBA Consumer Privacy Notice</b><b>.</b></p></div></div>

SIEM Engineer

Vistar Media

<div><p>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.</p><p>
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.</p><p></p><p><i>
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.</i></p><p>
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
<br>
<br>
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together.<br>
<br>
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.</p><p></p><ul><li><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</p></li><li><p>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</p></li><li><p>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</p></li><li><p>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</p></li><li><p>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</p></li><li><p>
Also responsible for other duties/projects as assigned by business management as needed</p></li></ul><p><b><br>
Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</p></li><li><p>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</p></li><li><p>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</p></li><li><p>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</p></li><li><p>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</p></li><li><p>
Familiarity with DevOps practices and tools for DataOps.</p></li><li><p>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</p></li><li><p>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</p></li></ul></li></ul><p></p><p>
Base Pay Range: $105,100 - $189,600</p><div></div><p><br>
Corporate Bonus Target: 15%</p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><div></div><p><br>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1</p><p>
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</p></div>

Senior Data Engineer, Big Data and Cloud

Qureos

<p><strong>About the company:</strong></p><p> </p><p>We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in.</p><p> </p><p><strong>About the Role</strong></p><p> </p><p>As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run.</p><p> </p><ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul><p> </p><p>What You'll Do</p><p> </p><ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul><p> </p><p><strong>What You'll Bring</strong></p><p> </p><ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul><p> </p><p><strong>Bonus</strong>: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms.</p><p> </p><p>Comfortable working in dynamic environments with changing priorities and high ownership.</p><p> </p><p><strong>Why Join Us</strong></p><p> </p><p>You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer.</p><p> </p><p>If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.</p>

Forward Deployed Engineer

<p></p><div><div><div><div><div><div>Job ID</div>
<div>747553WD</div>
</div><div><div>Category</div>
<div>Data and Analytics Engineering</div>
</div><div><div>Time Type</div>
<div>Full time</div>
</div><div><div>Specialty/Competency</div>
<div>Data Science</div>
</div><div><div>Level</div>
<div>Director</div>
</div><div><div>Travel Requirements</div>
<div>Up to 80%</div>
</div><div><div>Locations</div>
<div>New York, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Richmond, Baltimore, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland</div><br>
</div></div></div><div><div><br>
<div>The Opportunity
<br>
<br>
As an AI &amp; GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
<br>
<br>
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
<br>
<br>
Responsibilities
<br>
<br>
<ul><li>Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
</li><li>Overseeing the implementation of data infrastructure and integration to support scalable AI systems
</li><li>Driving business growth by identifying market opportunities and converting them into successful client engagements
</li><li>Mentoring and guiding teams in the application of advanced data analytics and AI techniques
</li><li>Promoting technological advancements and fostering an environment where people and technology thrive together
</li><li>Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
</li><li>Utilizing programming languages such as Python and C++ to develop and deploy AI models
</li><li>Managing complex data analysis and confirming data quality and integrity within analytics frameworks
</li><li>Encouraging creativity and innovation in problem-solving and solution development
</li><li>Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
</li></ul><br>
What You Must Have
<br>
<br>
<ul><li>At least a Bachelor's degree
</li><li>At least 12 years of experience
</li></ul><br>
What Sets You Apart
<br>
<br>
<ul><li>Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
</li><li>At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
</li><li>Demonstrating proficiency in AI implementation and machine learning libraries
</li><li>Utilizing Python and C++ for complex data analysis and modeling
</li><li>Leading AI-driven automation projects with strategic mindset and innovation
</li><li>Promoting technological advances in data infrastructure and integration
</li><li>Cultivating potential in others through coaching and feedback</li></ul></div><br>
<br>
<p>The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance</p>
<p></p><p>As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.</p>
<p></p><p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.</p>
<p></p><p>Learn more about how we work: https://pwc.to/how-we-work</p>
<p></p><p>For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</p>
<p></p><p>Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines</p></div></div></div></div><p></p>

AI & GenAI Data Scientist-Director

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