data analyst

data scientist

software engineer

data engineer

senior data engineer

data platform engineer

Treeswift

<div>About Treeswift:
In the face of rising threats like severe storms and wildfires, increasing pressure on affordability, and unprecedented demands for system expansion, Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead. 
 
To accomplish our mission we deploy our sensors into our customers' field operations, typically on backpacks or vehicles. The resulting trove of LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms. 
 
After starting our work with utilities in June 2024, we are now working with three of the five largest utilities in the United States and are rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker&rsquo;s Inspired Capital. 
 
Treeswift is headquartered in lower Manhattan, and maintains an office in Philadelphia. We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area). 
 
We hope you join us on this journey!
About the role
You are a skilled and motivated Data Platform Engineer. You will:<ul><li>
Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that process terabytes of real-world physical data across many file types&mdash;imagery, audio, point clouds, and more. You will develop and evolve DAGs that orchestrate complex, multi-step workflows: dozens of tasks, fan out/in in pipelines, Python and Kubernetes operators split across generalized and specialized node pools, and dynamic DAG generation. You will work closely with our in-house ML team (feature pipelines and model deployment live in these DAGs) and coordinate with our hardware team on ingestion and formats. Scope is a mix of pipeline development and platform ownership and we are happy to adjust the scope and balance of responsibilities based on your interests and strengths.</li><li>
Help us scale and harden our data platform. We have one dedicated data engineer today; you will be the second. The broader engineering team is highly collaborative and you will work with members of the full-stack and machine learning teams. We are looking for someone to improve DAG design and execution, resource and cost tuning, reliability and observability, and contribute to how we run Airflow and Kubernetes in the cloud. If you enjoy writing pipelines and improving the platform that runs them, this role has room for both.</li><li>
Stay curious, collaborative, and cross-functional. We are a small team where many people wear multiple hats. You will work alongside ML engineers, hardware engineers, and software engineers. Turning a technically complex set of requirements from a critical industry into a rich data set is at the center of what we do. We take pride in managing complexity and providing high-fidelity data that our customers can use to make better-informed decisions.</li><li>
Be an owner at Treeswift; make the company better in whatever form that takes. We value the full picture you bring&mdash;whether that&rsquo;s deep expertise in orchestration, a knack for debugging at scale, or hidden talents outside work. We launched our platform last fall and have only scratched the surface of what&rsquo;s possible in terms of finding ways to add value for our customer. You will partner closely with some of the largest utilities in the country and contribute to efforts to develop new workflows in work planning, construction and disaster response.</li></ul>
This is a full-time, hybrid role based out of our Lower Manhattan, NYC office (2 days per week in person, currently pinned to Tuesdays and Wednesdays).
Required skills<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Math, or a related field (or equivalent experience).</li><li>
4+ years of data engineering or backend engineering experience with a focus on pipelines, orchestration, or platform.</li><li>
Hands-on experience building and maintaining production data pipelines (e.g. Airflow, Prefect, Luigi, or similar). We use Python for our pipeline environment, machine learning, and developer tooling; we don&rsquo;t require Python expertise and are happy for you to learn on the job.</li><li>
Experience with cloud object storage and data-at-scale (we use AWS and S3; cloud experience is required, but prior AWS experience is not).</li><li>
Comfort with Kubernetes and container-based deployments in practice: running workloads on K8s, resource and volume configuration, and debugging pod/worker issues.</li><li>
Ability to own work end-to-end: design, implement, test, and operate pipelines and related tooling. You are comfortable picking up new parts of the stack when needed.</li><li>
Strong collaboration and communication; you work well with ML, hardware, and product stakeholders and can explain tradeoffs clearly.</li></ul>
Nice-to-haves<ul><li>
Experience in early-stage or fast-moving environments where scope and ownership evolve.</li><li>
Experience with Apache Airflow (especially 3.x) and/or Astronomer.</li><li>
Experience with geospatial data, imagery, lidar, or point clouds.</li><li>
Interest in utilities, forestry, or field operations and how data pipelines support those domains.</li></ul>
Salary
The estimated salary range for this position is 160,000 - 200,000 USD. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.</div>

Data Platform Engineer

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role - Senior Software Engineer, Data Platform
 
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
 
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
 
What You'll Do
 Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
 Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
 Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
 Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
 Stay up-to-date with emerging technologies and industry trends in data systems and platform development
 Qualifications
 A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
 A product-minded approach—you understand how our software impacts user experience and business outcomes
 Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
 Excellent collaboration and communication skills, with the ability to influence across teams
 Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
 Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
 Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
 Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
 Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
 Preferred Qualifications
 Experience with Rust
 Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
 History of open source contribution, particularly in the data systems ecosystem
 
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
One team, being brave, driving change
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

Hudson Manpower

<div>Job Description
We are seeking a highly skilled Senior Data Engineer to join our team in New York City. The ideal candidate will have strong experience in data engineering, Python development, and modern data platforms. This role involves designing, developing, and maintaining scalable data solutions while working closely with business stakeholders and technical teams.
Location: New York City, NY (Hybrid &ndash; 3 days onsite)
Interview Process: In-person interview required in NYC.
Note: Candidates must have recent Banking / Financial domain experience.
Key Responsibilities<ul><li>
Understand and analyze technical specifications and business requirements.</li><li>
Collaborate with business analysts and business users to gather requirements and deliver data solutions.</li><li>
Develop applications and data pipelines using Python, SQL Server, Snowflake, and Databricks.</li><li>
Design and maintain data models and schemas to support data integration and analytics.</li><li>
Implement data validation and quality checks to ensure data accuracy and consistency.</li><li>
Perform Unit Testing (UT) and System Integration Testing (SIT) with business analysts.</li><li>
Support User Acceptance Testing (UAT) with business users.</li><li>
Provide production support and ongoing maintenance of data platforms and applications.</li></ul> 
Required Qualifications
General<ul><li>
12+ years of IT industry experience.</li><li>
Strong communication and collaboration skills.</li><li>
Experience working in Agile environments and SDLC processes.</li><li>
Experience with system design and architecture.</li><li>
Experience working in global delivery models (onshore/offshore teams).</li><li>
Strong analytical and problem-solving skills.</li><li>
Self-driven, collaborative team player able to work with minimal supervision.</li></ul> 
Technical Skills
Mandatory Skills<ul><li>
Python</li><li>
SQL Server and relational database concepts</li><li>
Azure Databricks</li><li>
Snowflake</li><li>
ETL development</li><li>
Scheduler tools (Autosys / Control-M)</li><li>
CI/CD pipelines</li></ul> 
Nice to Have<ul><li>
PySpark</li><li>
Experience in financial systems, capital markets, credit risk, or regulatory applications</li></ul></div>

Senior Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about Big Data, Distributed systems, and large scale datasets can be integrated with new state-of-the-art AI agent-friendly data interfaces? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale. 
 
Key job responsibilities 
Join our team and take ownership of significant initiatives that solve some of the toughest technical challenges in big data: 
<ul><li>Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data</li><li>Architect new data paradigms that enable real-time analytics and machine learning applications</li><li>Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact</li><li>Mentor junior engineers through code reviews, design discussions, and pair programming</li><li>Contribute to technical strategy and architectural decisions for our data platform</li><li>Build monitoring, alerting, and data quality frameworks to ensure reliability at scale</li></ul> 
Our systems are built for stability and reliability, which means our on-call shifts are manageable and focused on continuous improvement rather than firefighting. 
 
About the team 
We're a collaborative team of engineers who are passionate about solving complex data challenges while maintaining a healthy work-life balance. Our engineers regularly work with latest technologies&mdash;recent projects include migrating our data lake to Apache Iceberg, implementing real-time streaming pipelines with Spark, and building unified and flexible reporting solutions. We invest heavily in your growth through mentorship programs, technical design reviews, and opportunities to present at internal tech talks. We believe in sustainable engineering practices with reasonable on-call rotations (typically one week per quarter) and flexible work arrangements.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>4+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>Experience building and operating data pipelines using Apache Spark and Scala on Amazon EMR, spanning extraction, ingestion, batch and streaming processing. Data lake design with Apache Iceberg a plus.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer - Big Data, Brand Metrics and Benchmarks

JPMorganChase

<div>JOB DESCRIPTION 
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products.
As a Senior Lead Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Data and Integrations team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge, coding and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and a drive innovation and solution delivery.
Job responsibilities<ul><li>
Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
</li><li>Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
</li><li>Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.</li><li>
Transform traditional HR/EX into modern data product offerings that scales for business needs.</li><li>
Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.</li><li>
Partner with Product and Architecture to make strategic decisions that influence teams&rsquo; resources, budget, tactical operations, and the implementation of processes and procedures.</li><li>
Be accountable for SDLC, design patterns and upskilling engineers
</li><li>Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.</li><li>
Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.</li><li>
Advance and support the firm&rsquo;s culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills.<ul><li>
Formal training or certification on Software Engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise.</li><li>
Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation</li><li>
Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR</li><li>
Experience with AI Developer Automation Tools and the use of BI Consumption tools such as: Sigma, Genie, Tableau</li><li>
Experience with Governance using Unity Catalogue and Data Access Governance with Immuta</li><li>
Experience in working in cross-functional teams of technologists.</li><li>
Experience dealing with internet scale volume and size of data.</li><li>
Experience in Big Data technologies handling complex data processing requirements.</li><li>
Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Prior Financial Services experience is preferred.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT)

<div>About the Role
We are seeking a highly skilled Senior Data Architect / Application Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining data platforms and application infrastructure. You will play a key role in driving innovative data solutions while ensuring platform reliability, security, and performance.
Location: New York City, NY (Hybrid &ndash; 3 days onsite)
Interview Process: In-person interview required in NYC.
Work Authorization: Only W2 candidates will be considered. C2C is allowed only if the candidate is a US Citizen or Green Card holder with their own corporation.
Key Responsibilities<ul><li>
Lead architecture and technical design discussions using industry best practices and modern technologies.</li><li>
Support production operations and resolve complex issues within the Credit Risk application platform.</li><li>
Design and implement batch and ad-hoc data pipelines using Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks.</li><li>
Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet, including partitioning, z-ordering, and schema evolution.</li><li>
Integrate with external XVA / risk engines and develop orchestration logic for long-running computations.</li><li>
Model and optimize risk metrics such as EPE and PFE for efficient querying and analytics.</li><li>
Ensure platform reliability, security, observability, and auditability, including IAM roles, authentication mechanisms, and encryption.</li><li>
Contribute to API design for internal and external consumers, including versioning, documentation, error handling, and SLAs.</li></ul> 
Required Qualifications
General<ul><li>
12&ndash;15 years of experience as an application developer or data engineer.</li><li>
Strong communication and collaboration skills.</li><li>
Experience working in Agile environments.</li><li>
Ability to design and document technical architectures and system designs.</li><li>
Proactive and self-driven team player with strong analytical skills.</li></ul> 
Technical Skills (Mandatory)<ul><li>
Python (expert level) including PySpark / Spark for data engineering.</li><li>
Azure Databricks with experience implementing Medallion Lakehouse Architecture.</li><li>
Strong SQL expertise including joins, unions, stored procedures, and query optimization.</li><li>
REST API development using frameworks such as Django, Flask, or FastAPI.</li><li>
Experience with CI/CD pipelines using Git, Jenkins, and Azure DevOps.</li><li>
Experience building data ingestion and transformation pipelines.</li><li>
Cloud platform certification such as AWS Certified Cloud Practitioner or equivalent.</li></ul> 
Domain Requirement<ul><li>
Strong experience in Credit Risk and Counterparty Risk within the financial services or capital markets domain.</li></ul> 
Preferred Qualifications<ul><li>
Advanced degree in Finance, Computer Science, or related field.</li><li>
Experience with risk modeling and financial analytics.</li><li>
Knowledge of deployment, operational support, and monitoring tools.</li><li>
Exposure to technical architecture design and system documentation.</li></ul></div>

Senior Data Architect / Application Engineer

Schrödinger

<div><div>Schr&ouml;dinger seeks a Machine Learning (ML) Platform Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.

Who will love this job:
<ul>
<li>A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production</li>
<li>An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn</li>
<li>An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems</li>
<li>A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration</li>
</ul>
What you'll do:
<ul>
<li>Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows</li>
<li>Build and maintain production systems that enable scientists to run large-scale ML workloads</li>
<li>Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools</li>
<li>Contribute to backend services and APIs supporting ML workflows and platform features</li>
<li>Improve developer workflows, testing infrastructure, and deployment automation</li>
<li>Participate in code reviews and contribute to engineering best practices across the team</li>
<li>Pitch in on frontend components of the ML platform web interface when needed</li>
</ul>
What you should have:
<ul>
<li>BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field</li>
</ul>
Experience with the following is nice to have, but not required:
<ul>
<li>Cloud platforms like AWS or GCP</li>
<li>Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)</li>
<li>CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)</li>
<li>Monitoring, logging, or observability systems</li>
<li>Distributed computing or large-scale ML workloads</li>
<li>ML training pipelines or experiment management</li>
<li>Data processing pipelines or large-scale data analysis</li>
<li>Source control systems (Git or similar)</li>
<li>Web application development (e.g., React, TypeScript, REST APIs)</li>
<li>Interest in scientific computing, chemistry, biology, physics, or related domains</li>
</ul>
</div><div></div><div>Pay and perks:</div>
<div><div>Schr&ouml;dinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schr&ouml;dinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.</div>
<div></div>
<div>Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.</div>
</div>
<div></div><div>Sound exciting? Apply today and join us!</div>
<div></div>
<div>As an equal opportunity employer, Schr&ouml;dinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, &quot;diversity&quot; isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.</div></div>

Machine Learning Platform Engineer

Explore 644+ Data platform engineer in New York this March. Find roles across top companies and apply now to boost your career.