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advanced software engineer - ios

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advanced software engineer - peoplesoft

platform software engineer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, design, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.
 <br/>
 <br/>
 The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Write well-crafted, well-tested, readable, maintainable code
  </li>
  <li>
   Participate in code reviews to ensure code quality and distribute knowledge
  </li>
  <li>
   Participate in our team on-call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
  </li>
  <li>
   Have the ability to explain the various trade offs made in decisions
  </li>
  <li>
   Manage project priorities, deadlines, and deliverables.
  </li>
  <li>
   Partner with product managers, designers, scientists, and other engineering teams to build complex features and products from idea to positive execution
   <br/>
   <br/>
  </li>
 </ul>
 Experience:
 <br/>
 <br/>
 <ul>
  <li>
   BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
  </li>
  <li>
   Experience with Python, Go.
  </li>
  <li>
   Proficiency in object-oriented programming
  </li>
  <li>
   Experience working with data structures or algorithms
  </li>
  <li>
   Ability to work with a low-ego, highly collaborative, and cross-functional team
  </li>
  <li>
   Bonus points: experience pursuing side projects or open-source projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan with company match to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Monthly Lyft credits and complimentary Lyft Pink membership
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Software Engineer, Rider

Saragossa

<div>
 <p>
  <strong>
   Want to build AI data infrastructure that processes half a billion patient encounters a year?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  An AI healthcare company &mdash; backed by one of the largest healthcare platforms in the U.S. &mdash; is hiring Data Platform Engineers at multiple levels (Mid to Staff) for its NYC-based team (on-site 3 days per week. This is startup-level ownership with enterprise-scale distribution: your systems will power production workflows across 95 of the top 100 U.S. health systems from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The team is building an AI-native clinical and financial automation platform &mdash; agentic AI that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up. The data platform team owns the foundations that make this possible: the ingestion pipelines, backend schemas, and APIs that feed both the AI engine and the user-facing application. You won't just be building plumbing &mdash; you'll have full visibility into the business impact of what you ship, including the economic outcomes your work drives across the platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The stack:
  </strong>
  Python, Go, or Java &middot; Spark &middot; Kafka &middot; Airflow &middot; Terraform &middot; Docker &middot; Kubernetes &middot; FHIR/HL7 (bonus)
 </p>
 <p>
  <br/>
 </p>
 <p>
  You are qualified if you bring at least 5 years of software engineering experience, with a minimum of 2 years building high-throughput data pipelines in production. You are comfortable owning infrastructure end-to-end &mdash; Terraform, Docker, and Kubernetes are familiar territory. You have hands-on experience with Spark, Airflow, or Kafka at real scale, and you understand what it takes to keep complex pipelines observable and reliable. You have worked on the data backend of an ML system or a production SaaS application, and you know how to instrument systems so problems surface before users feel them. You come from a technically rigorous environment &mdash; whether that's a tier-one tech company, an AI lab, or a high-growth startup doing genuinely interesting work &mdash; and you can speak to both what you built and the business outcome it drove.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $180,000&ndash;$260,000 base (level dependent) + yearly bonus + long-term incentives + comprehensive benefits
 </p>
 <p>
  <br/>
 </p>
 <p>
  If this sounds like you, apply now!
 </p>
</div>


Software Engineer, Data Platform - Up to $260k base + bonus

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience programming in Python or C++.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.</p><br>
<p>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p>
<p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML GenAI, Google Workspace

Meta

<div>Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As an AI Native SWE, you will work on complex technical problems, build new AI-powered and generative AI features, and improve existing products across all platforms. Our teams are pushing the boundaries of user experience through LLMs, conversational and multi-modal AI, context-aware systems, and AI-powered automation&mdash;and we&rsquo;re looking for engineers who bring an AI-first mindset, move fast through rapid iteration and experimentation, and raise the bar on quality and reliability for AI-driven experiences.<br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Software Engineer, AI Native Responsibilities:
</b><br>
</h3><ul><li>Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences</li><li>
Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management</li><li>
Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains</li><li>
Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences</li><li>
Design/Contribute to agentic workflows and leverage AI tools and agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact</li><li>
Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost</li><li>
Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops</li><li>
Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues</li><li>
Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team</li><li>
Establish ownership of components, features, or systems with comprehensive end-to-end understanding</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta</li><li>
2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language</li><li>
Experience building maintainable and testable codebases, including API design and unit testing techniques</li><li>
Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience with one or more languages such as C/C++, Java, Python, JavaScript, Hack, and/or shell scripting</li><li>
Experience improving quality through thoughtful code reviews, appropriate testing, rollout, monitoring, and proactive changes</li><li>
Experience with architectural patterns of large-scale software applications and improving efficiency, scalability, and stability of system resources</li><li>
Experience with ML tooling/frameworks such as PyTorch, TensorFlow, and Python</li><li>
Experience with AI/ML techniques and workflows such as fine-tuning, transfer learning, few-shot/zero-shot approaches, and/or model distillation</li><li>
Experience in one or more of the following: LLMs, generative AI, machine learning, recommendation systems, pattern recognition, data mining, or related fields</li><li>
Experience implementing RAG, embeddings, or knowledge-backed generation and familiarity with tokenization and transformer-based systems</li><li>
Experience designing AI agents, orchestration, and human-in-the-loop systems and treating AI as a collaborator to accelerate delivery</li><li>
Understanding of Responsible AI practices (AI safety, ethics, alignment, explainability) and building safeguards/quality controls for AI outputs</li><li>
Experience building and utilizing AI technologies (e.g., LLMs, agents, orchestration systems) as collaborative tools to streamline workflows and accelerate delivery</li></ul><br>
<br>
<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
<br>
<br>
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
<br>
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
<br>
$58.65/hour to $181,000/year + bonus + equity + benefits<br>
<br>
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Software Engineer, AI Native

Workwhile

<div><div><p>Location</p><div>
San Francisco; New York; Seattle; Toronto</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div><div>
R&amp;D</div><p>
Engineering</p></div></div><div><p>
Compensation</p><ul><div><div>
SF/NY/Seattle</div><p>
$150K &ndash; $250K &bull; Offers Equity</p></div><div><div>
Toronto</div><p>
CA$165K &ndash; CA$310K &bull; Offers Equity</p></div></ul><div><div>
This range represents the good-faith estimate of the base salary/wage we reasonably expect to pay at the time of hire. Final offer amounts are determined by multiple factors, including seniority, experience, skills, and geography.</div></div></div></div>
<br><div><div><div><b>About WorkWhile</b><br>
WorkWhile is on a mission to help workers earn a better living and live better lives. More than 80 million Americans work hourly jobs, often with unpredictable schedules that pay close to minimum wage and offer limited benefits, leading to financial instability.</div><p>
WorkWhile is revolutionizing frontline work by creating a more flexible and efficient labor market. Powered by AI, the WorkWhile platform helps businesses quickly access high-quality talent. Workers benefit from same-day pay, free telehealth services, upskilling, and the ability to choose shifts that match their skills and schedules.</p><p>
We have the audacious goal to align incentives and solve inefficiencies in the labor market, disrupting the $650 billion staffing and recruiting market. Backed by Khosla Ventures and recognized by the Inc. 5000 for 10x growth, WorkWhile is reshaping the future of work.</p><p><b>
What you'll do</b></p><ul><li><div>
Own and evolve complex backend systems that power core product flows, from architecture and data modelling to reliability and long-term scalability</div></li><li><div>
Partner closely with engineering leadership, product, and design to shape technical direction and translate ambiguous problems into durable solutions</div></li><li><div>
Lead high-impact initiatives that span multiple services or teams, setting clear technical direction and unblocking others</div></li><li><div>
Raise the bar on system design, correctness, and operational excellence across the backend codebase</div></li><li><div>
Act as a force multiplier for the team: reviewing designs, mentoring engineers, and helping others make strong technical decisions</div></li><li><div>
Contribute to our engineering culture by modelling thoughtful tradeoffs, clear communication, and ownership at scale</div></li></ul><p><b>
What we're looking for</b></p><ul><li><div>
Significant experience designing and building backend systems in Python (or similar), including APIs, data models, and distributed services</div></li><li><div>
A strong track record of owning technical systems or product areas end-to-end, especially in growing or evolving codebases</div></li><li><div>
Comfort working in ambiguity: able to define problems, propose options, and guide teams toward pragmatic solutions</div></li><li><div>
Deep care for system correctness, reliability, and long-term maintainability, balanced with real product needs</div></li><li><div>
Strong written and verbal communication skills, with the ability to influence technical direction across the team</div></li><li><div>
Experience mentoring engineers and elevating team-wide technical quality (formal management experience not required)</div></li></ul><p><b>
Nice to have</b></p><ul><li><div>
Experience working in marketplace, fintech, or data-sensitive systems</div></li><li><div>
Exposure to scaling systems, migrations, or meaningful architectural change</div></li><li><div>
Interest in helping shape engineering standards and best practices as the team grows</div></li></ul><p><b>
Engineering @ WorkWhile</b></p><ul><li><div>
We&rsquo;re a small and mighty team with senior engineers from Rippling, Stripe, DoorDash, Faire among others</div></li><li><div>
We value user-centricity, competence, speed, and having fun</div></li><li><div>
We embrace independence and take ownership of our projects, yet are also great team players</div></li><li><div>
We deal in outcomes, not projects</div></li><li><div>
Read more about our team at https://tech.workwhile.ai/</div></li></ul><p><b>
Benefits &amp; Perks</b></p><ul><li><div>
Remote-friendly work culture with office hubs in SF, NY, Seattle &amp; Toronto</div></li><li><div>
In-person company offsites</div></li><li><div>
Medical, dental, &amp; vision coverage</div></li><li><div>
Flexible time off</div></li><li><div>
401(k) with employer match</div></li><li><div>
WFH stipend to support your home office needs</div></li></ul><p>
WorkWhile has a diverse, mission-driven, and supportive culture&mdash;we look for people who want to take ownership, are energized by ambiguity, and strive to make a lasting impact. If this resonates with you, we&rsquo;d love to chat!</p><p>
WorkWhile is an Equal Opportunity Employer. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply.</p></div></div><p></p>

Staff Software Engineer, Backend

Shields Group Search

<div>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Hybrid in NYC
  </strong>
 </p>
 <p>
  <strong>
   Full-Time
  </strong>
 </p>
 <p>
  <strong>
   $175,000-$225,000 base + upside depending on experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are hiring a
  <strong>
   Data Engineer
  </strong>
  to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
  <strong>
   Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  This position reports directly to the
  <strong>
   Head of Engineering
  </strong>
  . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
  <strong>
   NYC
  </strong>
  , and
  <strong>
   2-3 days per week in-office
  </strong>
  should be expected. They also want someone who is comfortable building with and using
  <strong>
   agentic systems
  </strong>
  . This is not the right fit for someone optimizing primarily for work/life balance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Participate in the full software development life cycle from planning to deployment
  </li>
  <li>
   Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  </li>
  <li>
   Collaborate with the team to design, develop, unit test, and support new features
  </li>
  <li>
   Strive for high quality and rapid output through agile software development best practices
  </li>
  <li>
   Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
  </li>
  <li>
   Perform code reviews and provide constructive feedback to peers
  </li>
  <li>
   Maintain and improve the tech stack
  </li>
  <li>
   Develop flexible and well-structured data pipelines and data warehouse schemas
  </li>
  <li>
   Implement effective security protocols, data protection measures, and storage solutions
  </li>
  <li>
   Troubleshoot, debug, and upgrade software
  </li>
  <li>
   Ensure software meets all requirements of quality, security, and configurability
  </li>
  <li>
   Contribute to documentation, tests, and automation pipelines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
  </li>
  <li>
   Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
  </li>
  <li>
   Advanced proficiency in Python and SQL for data pipeline development and analysis
  </li>
  <li>
   Familiarity with CI/CD tools
  </li>
  <li>
   Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
  </li>
  <li>
   Strong knowledge of the software development lifecycle
  </li>
  <li>
   Experience with testing and debugging
  </li>
  <li>
   Proficient understanding of code versioning tools such as Git
  </li>
  <li>
   Excellent problem-solving skills and attention to detail
  </li>
  <li>
   Excellent communication and teamwork skills
  </li>
  <li>
   Ability to work independently and take initiative
  </li>
  <li>
   Willingness and ability to build with agentic systems in a practical, hands-on way
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role
  </strong>
 </p>
 <p>
  This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
  <strong>
   $200,000-$225,000
  </strong>
  for candidates with more experience.
 </p>
</div>


Data Engineer

Metropolitan Transportation Authority

<div><p><b>Description</b><br>
</p><br>
Department: MTAHQ - Strategic Initiatives<br>
Location: 2 Broadway, New York, NY 10029<br>
Position Title: Data Engineer, Emerging Talent Intern<br>
Hourly Rate: $19.00 (Undergraduate), $21.00 (Graduate)<br>
<br>
All internship positions are onsite and require regular, in-person attendance at the designated work location.<br>
<br>
<b>OVERVIEW OF DEPARTMENT:</b><br>
The Data Engineering Team is responsible for building and maintaining the MTA Data Lake Platform, which powers analytics around the MTA. As owners of the MTA Data Lake Platform, the Data Engineering Team builds infrastructure, tooling, and services that allow for Data Scientists and Data Analysts at MTA to build data pipelines and analyze data. Having built the MTA Data Lake Platform in the cloud, engineers spend time not only on software development, but in cloud infrastructure and devops roles.<br>
<br>
<b>RESPONSIBILITIES:</b><p><br>
The key functions of the Data Engineer Intern are as follows:</p><ul><li>
Build and maintain tooling for orchestrating data pipelines</li><li>
Improve codebase testing and alerting frameworks</li><li>
Manage and improve infrastructure-as-code repositories</li><li>
Improve code documentation processes</li><li>
Conduct root cause analyses in response to issues</li><li>
Develop and maintain devops solutions</li><li>
Attendance at daily stand-ups</li><li>
Other tasks as assigned to problem-solve and achieve the goals of the team</li></ul><br>
<b>
PROJECTS:</b><br>
<ul><li>
Build and maintain tooling for orchestrating data pipelines.</li><li>
Improve codebase testing and alerting frameworks.</li><li>
Improve code documentation processes.</li></ul><br>
<br>
<b>REQUIRED QUALIFICATIONS:</b><ul><li>
Proficiency in Microsoft Office Suite is a must.</li><li>
The candidate should possess organizational, analytical and communication skills.</li><li>
The candidate should be able to work well under pressure and prioritize tasks effectively.</li><li>
The candidate should have a keen eye for detail and be able to work independently while being an active team player.</li><li>
Strong skills in Python and SQL</li><li>
Experience using Git</li></ul><br>
<br>
<b>REQUIRED EDUCATION:</b><ul><li>
Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA</li><li>
Major(s) Preferred: Any STEM Majors preferred, all majors accepted</li></ul><br>
<br>
 All applicants must be authorized to work in the United States at the time of application. Students&rsquo; transcript must be submitted.<br>
<br>
<b>Equal Employment Opportunity</b><br>
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Data Engineer, Emerging Talent Intern (Summer)

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