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senior financial data analyst

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senior lead machine learning engineer

senior database engineer

Outfront Media

<div><p><b>Job Summary</b></p><p>
At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we are blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what is possible. We are looking for a passionate and experienced Senior Data Engineer to join our growing Data &amp; Analytics team.</p><p></p><p>
This role is designed for a senior-level data professional with deep expertise in data engineering and strong business intelligence experience. The right candidate will build and scale modern data pipelines, design reliable and performant data models, and enable the business through high-quality dashboards and self-service reporting. This is a hybrid role grounded in data engineering first, with a clear expectation that the individual can also deliver business-facing analytics solutions in Sigma Computing.</p><p></p><p>
As a Senior Data Engineer, you will leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You will partner with leadership and stakeholders across the business to ensure our data systems evolve alongside company needs, while also helping deliver trusted dashboards and reporting assets that support smarter decision-making.</p><p></p><p><b>
What You'll Do</b></p><ul><li>Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business.</li><li>Design and implement scalable data models and warehouse structures that support analytics, reporting, and data science needs, optimizing for speed, reliability, and maintainability.</li><li>Create seamless data ingestion and transformation processes using modern ETL/ELT practices, leveraging AWS, Snowflake, dbt, and Fivetran to ensure smooth and reliable data flow.</li><li>Own and improve the backend data foundation that powers dashboards, reporting, and self-service analytics.</li><li>Collaborate with business teams to understand data and reporting needs, and translate them into flexible, scalable technical solutions.</li><li>Develop and maintain dashboards, reports, and analytic views in Sigma Computing, ensuring business users have access to trusted, actionable, and easy-to-use insights.</li><li>Partner with stakeholders to define KPIs, business logic, and reporting requirements, and translate them into scalable data models and reporting solutions.</li><li>Establish best practices for data quality, governance, documentation, and reporting consistency across both engineering and analytics workflows.</li><li>Continuously improve reporting and analysis by automating processes, streamlining workflows, and empowering teams with self-service data tools.</li><li>Operate effectively within Agile delivery processes, contributing to sprint planning, backlog refinement, estimation, story development, and cross-functional execution using Jira and Confluence.</li></ul><p></p><p><b>
Experience</b></p><ul><li>7+ years of experience designing and implementing modern data warehouse and analytics engineering solutions, with a focus on scalability, reliability, and performance.</li><li>7+ years of experience writing advanced SQL and developing robust ETL/ELT pipelines to transform and integrate data across multiple systems.</li><li>7+ years of experience using Python or similar languages to build scalable, efficient, and maintainable data solutions.</li><li>Strong hands-on experience with AWS, Snowflake, dbt, Fivetran, and Sigma Computing.</li><li>Experience building and optimizing data models in Snowflake and managing transformation workflows in dbt.</li><li>Experience using Fivetran or similar ingestion tools to build and maintain reliable source-to-warehouse pipelines.</li><li>5-7 years of dashboarding and BI experience overall, with strong hands-on experience delivering reporting solutions for business users.</li><li>Hands-on Sigma Computing experience is required. Ideal candidates will have 5-7 years of Sigma Computing experience; at minimum, candidates must have 3+ years of direct Sigma Computing experience, along with prior experience using Tableau and/or Power BI.</li><li>Proficient in cloud technologies, especially AWS, and experienced in building scalable data solutions in cloud-native environments.</li><li>Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.</li><li>Strong working knowledge of Jira and Confluence for backlog management, sprint planning, documentation, and team collaboration.</li></ul><p></p><p><b>
Technical Expertise</b></p><ul><li>Deep expertise in modern data engineering and analytics engineering practices.</li><li>Strong hands-on experience with AWS, Snowflake, dbt, Fivetran, and Sigma Computing.</li><li>Expertise in building and optimizing data models, transformations, and reporting-ready datasets in Snowflake and dbt.</li><li>Strong hands-on experience delivering business-facing dashboards and self-service reporting in Sigma Computing, supported by well-modeled, scalable data structures in Snowflake and dbt.</li><li>Prior experience with Tableau and/or Power BI is preferred.</li><li>Strong understanding of data modeling, semantic layer design, and self-service analytics enablement.</li><li>Solid understanding of data governance, data quality, and documentation best practices.</li><li>Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies.</li><li>Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting.</li></ul><p></p><p><b>
Soft Skills</b></p><ul><li>Strong cross-functional collaboration skills, with experience aligning technical and business stakeholders on priorities and trade-offs.</li><li>Exceptional communication skills, capable of breaking down complex technical concepts for non-technical audiences.</li><li>Strong business acumen and an analytics mindset, with the ability to move from raw data to meaningful recommendations.</li><li>Ability to operate across both backend engineering and front-end analytics use cases.</li><li>Strong organizational and delivery skills, with the ability to work effectively in Agile teams and manage multiple priorities.</li></ul><p></p><p><b>
Education</b></p><p>
Bachelor of Engineering in Computer Science or equivalent experience preferred.</p><p></p><p>
The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate&rsquo;s experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York and New Jersey Salary Transparency Law.</p><h3 class="jobSectionHeader"><b>
To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location</b><b>.</b></h3><p></p><p>
OUTFRONT Media is not responsible for any fees related to unsolicited resumes.</p><p></p><p><b>
OUTFRONT Media Is An Equal Opportunity Employer</b></p><p></p><p><b>
All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the </b>OUTFRONT Media Affirmative Action policy statement.</p></div><p></p>

Senior Data Engineer

Forge Global

<p></p><div><div><p>At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.</p>
<p>
With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge&rsquo;s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.</p>
<p>
Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.</p>
<p>
Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.</p></div><p></p><div>
<p><b>
The Role:</b></p>
<p>
As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.</p>
<p><b>
Location: This role requires 2-3 days a week in office in Soho, NY.</b></p>
<p></p>
<p><b>Responsibilities</b></p>
<ul>
<li>Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions</li>
<li>Implement software solutions in line with provided estimates and requirements</li>
<li>Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>3&ndash;5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java</li>
<li>Experience with scripting languages such as Python for data-related tasks</li>
<li>Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)</li>
<li>Experience in Private Markets or Financial Services, specifically working with financial market data</li>
<li>Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality</li>
<li>Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development</li>
<li>Proficiency in databases such as PostgreSQL and strong SQL skills</li>
<li>Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)</li>
<li>Extensive experience with version control systems such as Git and platforms like GitHub</li>
<li>Familiarity with Agile project management tools such as JIRA or similar tools</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience migrating systems from legacy architectures to modern tech stacks</li>
<li>Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka</li>
<li>Experience leading offshore and nearshore engineering teams</li>
<li>Experience using large language models and agentic workflows</li>
</ul>
<p></p><p><b><i>For residents of New York, New York the annual salary range for this role is $110,000-$140,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors</i></b></p></div><p></p><div>
<p>
Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches.</p>
<p></p>
<p>Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.</p></div></div><p></p>

Greenboard

<div><h2 class="jobSectionHeader"><b>About Greenboard</b></h2><p>
At Greenboard, we&rsquo;re building the future of financial compliance. Greenboard is the unified, AI-native compliance operating system for RIAs, fintechs, private funds, hedge funds, and more. It replaces the fragmented mix of legacy tools and automates more than previously possible. By centralizing data and workflows, Greenboard helps firms reduce regulatory risk, simplify their technology stack, modernize how they run compliance, and save money.</p><p>
Our founding team includes engineers who have scaled products at Amazon, Google, and multiple unicorn startups. We&rsquo;re backed by Y Combinator, General Catalyst, Base10, and other top-tier investors, and have raised over $20M to date. Brand-name financial institutions already rely on Greenboard &mdash; and we&rsquo;re growing fast.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We&rsquo;re looking for a Senior Data Engineer to help build and scale our data platform as we grow.</p><p>
This is a high-impact individual contributor role focused on shaping how data flows through our systems &mdash; from production services to analytics and customer-facing features. You&rsquo;ll work across our stack (AWS, internal services, and application data) to ensure data is reliable, well-structured, and usable across the company.</p><p>
This role is ideal for someone who enjoys operating in ambiguity, building foundational systems, and working closely with engineering, product, and business teams.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><h3 class="jobSectionHeader"><b>
Build and Own Data Systems</b></h3><ul><li><p>
Design, build, and maintain data pipelines that ingest data from application systems, APIs, and internal services.</p></li><li><p>
Develop workflows for both batch and near real-time data processing.</p></li><li><p>
Work across AWS-based infrastructure to manage data movement, storage, and transformation.</p></li></ul><h3 class="jobSectionHeader"><b>
Model and Serve Data</b></h3><ul><li><p>
Design and maintain clean, well-structured datasets for analytics, internal tools, and product use cases.</p></li><li><p>
Support both analytical workflows and operational/product-facing data needs.</p></li><li><p>
Ensure data is easy to understand and reliable for downstream consumers.</p></li></ul><h3 class="jobSectionHeader"><b>
Support Product &amp; Customer Data</b></h3><ul><li><p>
Build and maintain pipelines that power customer-facing features (e.g., reporting, exports, in-product data).</p></li><li><p>
Partner with product and engineering teams to integrate data directly into the product experience.</p></li><li><p>
Ensure correctness and reliability of data exposed to customers.</p></li></ul><h3 class="jobSectionHeader"><b>
Own Data Reliability &amp; Observability</b></h3><ul><li><p>
Monitor pipeline health and debug issues across systems.</p></li><li><p>
Implement logging, alerting, and observability best practices.</p></li><li><p>
Improve system reliability and reduce data downtime.</p></li></ul><h3 class="jobSectionHeader"><b>
Shape the Data Platform</b></h3><ul><li><p>
Help define architecture and best practices for our evolving data platform.</p></li><li><p>
Standardize patterns for ingestion, transformation, and data modeling.</p></li><li><p>
Evaluate and introduce new tools and technologies where appropriate.</p></li></ul><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h2><ul><li><p>
4&ndash;7 years of experience in data engineering, backend engineering, or similar IC roles.</p></li><li><p>
Strong SQL skills and experience working with production data.</p></li><li><p>
Proficiency in Python (or similar) for building data pipelines and services.</p></li><li><p>
Experience working in cloud environments (preferably AWS).</p></li><li><p>
Experience building data platforms from early stages or in fast-growing startups.</p></li><li><p>
Strong understanding of data modeling for both analytics and operational use cases.</p></li><li><p>
Experience building or maintaining production data pipelines and debugging issues.</p></li><li><p>
Comfortable working across systems &mdash; including application databases, APIs, and internal services.</p></li><li><p>
Ability to operate independently and make pragmatic decisions in ambiguous environments.</p></li><li><p>
Clear communicator who can collaborate with both technical and non-technical stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with Elastic Search or Opensearch</p></li><li><p>
Experience supporting customer-facing data features or reporting.</p></li><li><p>
Exposure to data governance, privacy, or compliance (e.g., SOC 2, GDPR).</p></li><li><p>
Experience evaluating or implementing data tooling (e.g., orchestration, transformation frameworks).</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Salary range: $180,000&ndash;$270,000 + meaningful equity</p></li><li><p>
401(k) with 5% company match</p></li><li><p>
Medical, dental, and vision coverage</p></li><li><p>
15 days PTO + 11 company holidays + flexible sick time</p></li><li><p>
2 additional PTO days for each year of service (up to 10 additional days)</p></li><li><p>
10 remote days per year plus additional around the holidays</p></li><li><p>
Bi-annual off-sites and team retreats</p></li><li><p>
Front-row seat to building the operating backbone of modern finance</p></li></ul><p>
Compensation Range: $180K - $270K</p></div>

<div><div>This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.</div><div></div><div><b><br>
&quot;DDN's A3I solutions are transforming the landscape of AI infrastructure.&quot; &ndash; IDC</b></div><div></div><div><b><i><br>
&ldquo;The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments&rdquo; - Marc Hamilton, VP, Solutions Architecture &amp; Engineering | NVIDIA</i></b></div><div></div><div><br>
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.</div><div></div><div><br>
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.</div><div></div><div><br>
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.</div><div><br>
We&rsquo;re looking for a Senior Data Engineer to own and evolve the infrastructure and data ingestion layer that powers DDN&rsquo;s enterprise data platform. You&rsquo;ll be responsible for the systems that move data from source to warehouse and the platform reliability that analytics engineers and business stakeholders depend on &mdash; not the modeling or dashboarding itself, but everything underneath it. You&rsquo;ll work closely with analytics engineers, data analysts, and business stakeholders across Sales, Finance, Product, and other areas.</div><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Own</b></h2><ul><li><b>
Data ingestion</b> &mdash; manage batch ingestion tools (Fivetran), build custom pipelines where needed, and design and implement real-time/streaming ingestion for product telemetry and event data</li><li><b>
Infrastructure &amp; architecture</b> &mdash; manage and extend our GCP platform (BigQuery, Composer, IAM, networking) using Terraform, shape the technical direction of the platform as needs evolve, and maintain CI/CD pipelines for safe deployments across repos</li><li><b>
Platform reliability</b> &mdash; keep production systems healthy, monitor pipeline quality, investigate failures, and reduce technical debt</li><li><b>
Collaboration</b> &mdash; partner with analytics engineers on dbt and BI platform infrastructure needs; drive technical conversations about provisioning and scaling strategy</li></ul><h2 class="jobSectionHeader"><b>
Your Experience Includes</b></h2><ul><li>
5+ years in data engineering or platform/infrastructure engineering roles</li><li>
Strong hands-on experience with <b>GCP</b> especially BigQuery, Cloud Composer (managed Airflow), IAM</li><li>
Proficiency in <b>Terraform</b> (or equivalent IaC) for managing cloud resources across environments</li><li>
Strong <b>Python</b> skills with demonstrated ability to build integrations, automation, and data pipelines</li><li>
Expert <b>SQL </b>and understanding of data warehouse patterns (schemas, partitioning, access controls)</li><li>
Experience with <b>CI/CD</b> for data infrastructure</li><li>
Experience integrating data from diverse sources including SaaS platforms, on-prem systems, and cloud-hosted product infrastructure using both managed tools (e.g. Fivetran) and custom pipelines</li><li>
Experience with <b>real-time / streaming data</b> with demonstrated experience building and operating event-driven pipelines (Pub/Sub, Kafka, Dataflow, or similar)</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience</li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li>
Experience with Sigma Computing or similar BI tool administration/API integration</li><li>
Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)</li><li>
Experience with data governance tooling &mdash; access controls, column-level security, policy enforcement</li><li>
Familiarity with <b>dbt</b> from a platform perspective &mdash; how it runs, how it&rsquo;s deployed, what it needs from infrastructure</li><li>
Prior experience in a small data team where you wore multiple hats</li></ul><div>
Salary Range for this role: $105,400.00 - $195,700.00</div><div><br>
DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities:</div><div></div><div><b><br>
Self-Starter - </b>Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives.</div><div><b>
Success/Achievement Orientation - </b>Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable.</div><div><b>
Problem Solving -</b> Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful.</div><div><b>
Innovative -</b> Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.</div><div></div><p><b><br>
DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.</b> All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.</p></div>

First Street

<div>
 <strong>
  Company &amp; Mission Overview:
  <br/>
  <br/>
 </strong>
 <strong>
  Our mission:
 </strong>
 We exist to connect climate and financial risk.
 <br/>
 <br/>
 <strong>
  Who we are:
 </strong>
 First Street is the standard for Climate Risk Financial Modeling. For over a decade, we&rsquo;ve been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.
 <br/>
 <br/>
 Read more about our culture here and see what Climate Risk Financial Modeling is all about here.
 <br/>
 <br/>
 <strong>
  Our data:
 </strong>
 We&rsquo;ve assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies. Using physics-based deterministic models, we predict the likelihood of floods, wildfires, hurricanes, and other hazards at any location on Earth, along with associated damage and downtime.
 <br/>
 <br/>
 <strong>
  Our customers:
 </strong>
 We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by:
 <br/>
 <br/>
 <ul>
  <li>
   Institutional investors like Norges Bank Investment Management and Blackstone.
  </li>
  <li>
   Banking enterprises, including Bank of America and Fifth Third.
  </li>
  <li>
   Government bodies ranging from Fannie Mae to the US State of Connecticut.
  </li>
  <li>
   Millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more.
   <br/>
   <br/>
  </li>
 </ul>
 Come join us and use your talents to change the world.
 <br/>
 <br/>
 <strong>
  Team &amp; Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a Senior Data Engineer to join our team. The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. This individual&rsquo;s expertise and leadership will enable all members of the Data Operations team to be successful in their roles.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.
  </li>
  <li>
   Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.
  </li>
  <li>
   Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark
  </li>
  <li>
   Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
  </li>
  <li>
   Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
  </li>
  <li>
   Design and implement quality assurance checks on the climate risk data and derived statistics
  </li>
  <li>
   Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you&rsquo;ll need:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Data or Climate Science, or a related field
  </li>
  <li>
   5+ years of professional experience
  </li>
  <li>
   Data operations: Experience with the design and use of databases, such as PostgreSQL
  </li>
  <li>
   Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.
  </li>
  <li>
   GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools
  </li>
  <li>
   Strong understanding of probability and statistics as applied to spatial data
  </li>
  <li>
   Expertise using scripted languages to build data pipelines on both local and cloud-based systems
  </li>
  <li>
   Proficiency with source control platforms such as Git
  </li>
  <li>
   A science-based approach with a high degree of concern for reliability, accuracy and reproducibility
  </li>
  <li>
   Experience in GIS and/or geospatial statistical analysis
  </li>
  <li>
   Nice to have: experience in DBT and Spark
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What will make you stand out:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in the physical sciences
  </li>
  <li>
   Masters Degree Preferred
   <br/>
   <br/>
  </li>
 </ul>
 Our anticipated US base salary compensation range for this role is $100,000-150,000 plus stock options and a competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Actual compensation will vary depending on factors such as work location as well as additional factors such as a candidate&rsquo;s qualifications, skills, experience, competencies, and relevant education. Your recruiter can share more about the specific salary range for your location during the hiring process.
 <br/>
 <br/>
 <strong>
  How we work:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Impact: We only focus on things that move the needle
  </li>
  <li>
   Drive: We are driven by the role we play in connecting climate change to financial risk
  </li>
  <li>
   Ownership: This is our company and we act accordingly
  </li>
  <li>
   Urgency: We move quickly because the world depends on it
  </li>
  <li>
   Resilience: We have a growth mindset in all that we do
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary commensurate with experience
  </li>
  <li>
   Ownership interest in the company via Employee Stock Option Plan
  </li>
  <li>
   Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
  </li>
  <li>
   15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
  </li>
  <li>
   Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
  </li>
  <li>
   Vision and dental benefits with partial employee contribution
  </li>
  <li>
   12 weeks of paid parental leave
  </li>
  <li>
   Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
  </li>
  <li>
   Company 401k program
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Life Insurance
  </li>
  <li>
   Tech startup environment
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   Weekly team meals and an office stocked with coffee and snacks
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   Working on the world&rsquo;s biggest issue with other passionate professionals
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 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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  Once you've applied, please be sure to check your spam folder, as emails from our recruiting team are sometimes rerouted.
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Penguin Random House

<p></p><div><div><div><div><div><p>We are seeking a Senior API &amp; Data Engineer to own and evolve the critical data flows that power our Metadata API ecosystem. This role sits at the intersection of database architecture, ETL orchestration, and API design, with a focus on modernizing legacy systems while building the next generation of scalable, reliable services.<br>
</p><p></p><p>In this role, you will work across multiple databases (Oracle, PostgreSQL, and MySQL), maintain and enhance a legacy Java-based API, and help shape the evolution of our next-generation Python-based Metadata API platform.<br>
</p><p></p><p>The Metadata API platform is foundational to our publishing ecosystem. This role directly impacts how authoritative data is modeled, propagated, and exposed to external customers as well as our own in-house consumers. The engineer in this position will influence both the stability of current systems and the architectural direction of future platforms.<br>
</p><p></p><p>This is a senior-level position requiring strong technical judgment, architectural thinking, and the ability to assess downstream data impacts across systems. The role reports to the Senior Director of the API, Middle Tier &amp; Mobile team within the Publishing Applications Group.<br>
</p><p></p><p><b>Specific responsibilities include:
</b></p><ul><li>Own and evolve data flows powering the Metadata API ecosystem, ensuring accuracy, scalability, and reliability across systems
</li><li>Design and optimize relational database schemas, queries, and stored procedures across Oracle, PostgreSQL, and MySQL
</li><li>Maintain and enhance legacy Java-based APIs while contributing to the development of modern Python-based API services
</li><li>Orchestrate ETL processes and manage the safe propagation of schema and data changes across upstream and downstream systems
</li>Troubleshoot data and API issues while partnering cross-functionally on platform architecture, API design, and system improvements<br>
<li>
</li></ul><p></p><p><b>Please apply if you meet the following qualifications:
</b></p><ul><li>5+ years of backend or data engineering experience with strong SQL expertise across relational databases (Oracle, PostgreSQL, MySQL)
</li><li>Experience designing &ldquo;source of truth&rdquo; data models and managing ETL pipelines or data propagation workflows
</li><li>Proficiency in Java and Python for API development (JAX-RS and FastAPI a plus) and a solid understanding of RESTful design principles
</li><li>Experience working in cloud-based, containerized environments (e.g., AWS, Kubernetes) with familiarity in CI/CD and version control
</li>Strong problem-solving, communication, and collaboration skills, with the ability to assess downstream data impacts across systems<br>
<li>
</li></ul><p></p><p><b>The Penguin Random House national headquarters is located in New York City. The position is open to remote candidates based in the United States.<br>
</b></p><p></p><p><b>The salary range for this position is $120,000 - $130,000. All positions are currently eligible for annual profit award or bonus, subject to Company results.<br>
</b></p><p></p><p><b>Applications for this role will be accepted through April 21 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our </b><b>applicant resources page </b><b>and our </b><b>FAQs page.<br>
</b></p></div></div></div></div><p></p><div><div><div><div><p>Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications.<br>
</p><p><br>
Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&amp;D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance &amp; generous paid time off.<br>
</p><p><br>
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset &amp; Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
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Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.<br>
</p><p></p><p><b>Company: </b>Penguin Random House LLC <b>| Job ID: </b>287985</p></div></div></div></div></div>

Senior Engineer, API and Data (Open to Remote)

Emonics LLC

<div>
 <p>
  Job Overview:
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 <p>
  We are seeking a Data Engineer to support data pipeline development and ETL processes.
 </p>
 <p>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
 </p>
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  Build and maintain ETL pipelines
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 <p>
 </p>
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  Optimize database performance
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 </p>
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  Work with structured and unstructured data
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 <p>
 </p>
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  Ensure data integrity
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  Requirements:
 </p>
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 </p>
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  Degree in Data Engineering or related field
 </p>
 <p>
 </p>
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  Knowledge of SQL, Python
 </p>
 <p>
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  Familiarity with data warehousing concepts
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</div>


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