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data platform engineer

Medidata Solutions

<div><div><p><b>About the Company:</b></p><p>
Location: Hybrid<br>
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.</p><p><b>
About our Company:</b><br>
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at www.medidata.com.</p><p><b>
About the team:</b></p><p>
The Senior Director FP&amp;A reports directly to the VP of FP&amp;A and will lead our long-range plan, forecasting, annual budgeting processes, operational reporting consolidation, and strategic analysis on company wide allocation. You will partner closely with senior leadership to plan and prioritize the company&rsquo;s operational initiatives.</p><p>
The successful candidate will be an expert leader with a proven track record of building teams and upgrading processes. They will have experience working in a dynamic environment that requires the ability to move the function forward while also delivering its day-to-day commitments.</p><p>
If you are passionate about process excellence, data-driven operations, customer experience, innovation and continuous improvement, and thrive on seeing the impact of your work on a daily basis, this is the perfect role for you.</p><p><b>
What you'll do as our Senior Director, FP&amp;A:</b></p><p>
Guide team to align financial planning with the overall business strategy and objectives to respective areas<br>
Build, lead, mentor, and develop a high-performing team of FP&amp;A managers and analysts, fostering a culture of excellence, collaboration, and continuous growth.<br>
Oversee the development and execution of the company's annual budget, quarterly forecasts, and long-range strategic plans, ensuring robust financial models and insightful scenario analysis.<br>
Present comprehensive financial performance updates, strategic insights, and recommendations to the executive leadership team<br>
Influence the team of trusted financial advisors and strategic business partners to executive leadership across various business units, providing critical financial guidance and influencing strategic decision-making on key business initiatives.<br>
Direct the development and monitoring of key performance indicators (KPIs) across the organization, working collaboratively with business leaders to establish targets, track performance, and drive accountability.<br>
Lead the development of sophisticated financial models to evaluate strategic investments, mergers and acquisitions, capital allocation decisions, and other significant financial initiatives.<br>
Identify and proactively analyze emerging business trends, risks, and opportunities, and translate these insights into actionable financial strategies and recommendations.<br>
Drive continuous improvement in FP&amp;A processes, systems, and reporting capabilities to enhance efficiency, accuracy, and scalability.<br>
Lead and sponsor strategic financial projects and initiatives that support the company's growth and profitability objectives.<br>
Contribute to the development and implementation of company-wide financial policies and procedures.<br>
Stay at the forefront of industry trends, macroeconomic factors, and best practices in financial planning and analysis, and proactively share knowledge and insights across the organization.<br>
Participate actively in strategic planning discussions at the executive level, providing critical financial perspectives and insights to shape the company's long-term direction.</p></div><div><p><b>
What we're looking for:</b></p><p>
Bachelor's degree in Finance, Accounting, Economics, or a related field. MBA or relevant advanced degree is required.<br>
Minimum of 15 years of experience in financial planning and analysis, with significant leadership experience managing and developing teams of managers and analysts.<br>
Proven track record of developing, managing, and leading a team.<br>
Proven track record of providing strategic financial leadership and influencing executive-level decision-making.<br>
Deep understanding of GAAP and financial accounting principles, with experience in a complex, global organization.<br>
Expert-level proficiency in Excel and financial modeling, with the ability to develop sophisticated and dynamic models for various strategic scenarios.<br>
Exceptional analytical, problem-solving, and strategic thinking skills with a demonstrated ability to translate complex financial data into clear, concise, and actionable insights for executive audiences.<br>
Outstanding communication (written and verbal), interpersonal, and executive presentation skills, with a proven ability to effectively communicate complex financial information to all levels of the organization, including the executive team.<br>
Demonstrated ability to build strong relationships and influence stakeholders at the executive level.<br>
Proven ability to lead and manage multiple complex, cross-functional projects and initiatives simultaneously.</p><p></p><p><br>
The salary range posted below refers only to positions that will be physically based in New York, NY. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York, NY may differ based on the local market data in that region. The base salary pay range for this position is $184,500 to $246,000.</p><p>
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.</p><p><br>
Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details.</p><p><br>
Equal Employment Opportunity:<br>
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.</p><p><br>
Applications will be accepted on an ongoing basis until the position is filled.</p><p><br>
#LI-TC1<br>
#LI-Hybrid</p><p><br>
Inclusion Statement<br>
As a game-changer in sustainable technology and innovation, Medidata, a Dassault Syst&egrave;mes company, is striving to build more inclusive teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it's our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.</p></div><h2 class="jobSectionHeader"><b>
Inclusion statement</b></h2><div>
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.</div><div>
Salary Pay Transparency</div><div><p>
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $184500 and $246000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.</p></div></div>

Data Platform Engineer Intern

RSC Solutions

<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

Locality

<div><p>Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases.
</p><ul><li>Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform</li><li>
Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations</li>
Architect, own, and continuously optimize Databricks Bronze Silver<li> Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows</li><li>
Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management</li><li>
Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines</li><li>
Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph</li><li>
Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners</li><li>
Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability</li><li>
Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities</li><li>
Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets</li><li>
Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements</li><li>
Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems</li></ul><ul><li>
6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising</li><li>
Strong hands on experience with Databricks, Spark, and modern cloud data platforms</li><li>
Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)</li><li>
Deep expertise in SQL and proficiency in Python or another scripting language</li><li>
Experience working with identity graphs, audience data, and complex join logic across large datasets</li><li>
Hands on experience building and managing automated data pipelines and third-party data integrations</li><li>
Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors</li><li>
Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments</li></ul><p>
</p><p><i>Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).
</i></p><p></p><p><i>At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.</i></p></div>

Sr. Data Engineer (Contract to Perm)

Zocdoc

<div><div><p><b>Our Mission</b></p><br>
<p>
Healthcare should work for patients, but it doesn't. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.</p><br>
<p></p>
<p>
Zocdoc's mission is to give power to the patient. To do that, we've built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.</p><br>
<p></p>
<p>
We're 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.</p></div><p></p><p><b><br>
Your Impact on our Mission:</b></p>
<p>
We're hiring a Staff Software Engineer (Data Platform) to define and lead the evolution of Zocdoc's data platform at the intersection of data engineering and product engineering.</p>
<p>
This role owns how data moves into, across, and out of our lakehouse and warehouse ecosystems. You'll shape the contracts, access patterns, APIs, governance controls, and interoperability standards that enable teams to reliably produce and consume data at scale.</p>
<p>
Unlike a traditional data engineering role, this position is focused on platform experience and data product design &mdash; building the frameworks, contracts, and service interfaces that make data trustworthy, compliant, and easy to use across both technical and non-technical stakeholders.</p>
<p>
You will define how:</p>
<ul>
<li>Product teams publish high-quality, validated data into the platform</li>
<li>Analytics and ML teams consume governed datasets with confidence</li>
<li>Reverse ETL and activation patterns safely operationalize data back into product systems</li>
<li>Access control, compliance, and governance are embedded into platform design by default</li>
</ul>
<p>This is a highly cross-functional leadership role requiring deep data engineering expertise, strong product thinking, and the ability to influence standards across the organization.</p>
<p><b>
You'll enjoy this role if you are&hellip;</b></p>
<ul>
<li>Passionate about designing data contracts and producer/consumer interfaces, not just pipelines.</li>
<li>Excited to build APIs, SDKs, and shared packages that product engineers adopt.</li>
<li>Motivated to define clear access patterns across warehouse, lakehouse, and downstream systems.</li>
<li>Energized by solving governance, schema evolution, and compliance challenges at scale.</li>
<li>Comfortable setting long-term architectural direction while still diving into implementation details.</li>
<li>Experienced in building a data product used broadly across both technical and non-technical stakeholders.</li>
<li>Excited about leveraging AI-assisted and agentic workflows to multiply engineering productivity.</li>
<li>Thoughtful about the guardrails, access controls, and governance required when enabling GenAI systems to interact with sensitive data.</li>
</ul>
<p><b>Your day to day is&hellip;</b></p>
<ul>
<li>Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.</li>
<li>Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.</li>
<li>Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.</li>
<li>Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).</li>
<li>Designing clear patterns for:</li>
<li><ul><li>When to use the data lake vs. the warehouse</li>
<li>How curated layers are exposed</li>
<li>How downstream consumers access data safely</li>
</ul></li><li>Leading reverse ETL and activation architecture to support operational use cases.</li>
<li>Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).</li>
<li>Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.</li>
<li>Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.</li>
<li>Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.</li>
<li>Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.</li>
<li>Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.</li>
<li>Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.</li>
</ul>
<p><b>You'll be successful in this role if you have&hellip;
</b></p><ul><li>8+ years of experience in data engineering, platform engineering, or backend platform development.</li>
<li>Demonstrated experience designing data contracts, schema governance, or producer/consumer standards at scale.</li>
<li>Strong expertise in Python and SQL, with hands-on experience building scalable data frameworks.</li>
<li>Experience with distributed data systems such as Spark (Databricks or EMR) and modern lakehouse architectures (Delta Lake / Iceberg).</li>
<li>Experience with data warehouses such as Snowflake and strong understanding of performance and access patterns.</li>
<li>Familiarity with schema registry systems and schema evolution in streaming systems (e.g., Kafka).</li>
<li>Experience building APIs, shared libraries, or platform services adopted by multiple teams.</li>
<li>Strong understanding of access control, RBAC, and compliance constraints in regulated environments.</li>
<li>Proven ability to lead cross-functional architectural initiatives across product, analytics, and infrastructure teams.</li>
<li>Clear communication skills and a track record of influencing standards across an organization.</li>
<li>Experience working with AI-assisted development tools or cloud-based coding environments (e.g., Claude Code, Codex, Cursor, internal code generation frameworks, or similar systems).</li>
<li>Strong understanding of governance considerations for GenAI systems, including access control, prompt safety, sensitive data handling, and auditability.</li>
<li>Perspective on how structured data models and contracts improve AI reliability and downstream automation.</li>
</ul>
<p><b>Bonus if you have&hellip;</b></p>
<ul>
<li>Experience designing reverse ETL frameworks or operational activation pipelines.</li>
<li>Familiarity with metadata and governance platforms (e.g., Unity Catalog, Collibra, OpenMetadata).</li>
<li>Experience building internal developer platforms for event logging or data publishing.</li>
<li>Experience working in regulated environments involving PHI/PII.</li>
<li>Experience integrating streaming systems (Kafka/Kinesis) with warehouse and lakehouse ecosystems.</li>
</ul>
<p></p><p><b>Benefits</b></p>
<ul>
<li>Flexible, hybrid work environment at our convenient Soho location</li>
<li>Unlimited Vacation</li>
<li>100% paid employee health benefit options (including medical, dental, and vision)</li>
<li>Commuter Benefits</li>
<li>401(k) with employer funded match</li>
<li>Corporate wellness program with Wellhub</li>
<li>Sabbatical leave (for employees with 5+ years of service)</li>
<li>Competitive paid parental leave and fertility/family planning reimbursement</li>
<li>Cell phone reimbursement</li>
<li>Catered lunch everyday along with beverages and snacks</li>
<li>Employee Resource Groups and ZocClubs to promote shared community and belonging</li>
<li>Great Place to Work Certified</li>
</ul>
<p></p><div><p><b>About us</b><br>
Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish.</p><br>
<p>
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - <i>Together, Not Alone</i>, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We're an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.<br>
<br>
Job Applicant Privacy Notice</p></div></div><p></p>

Staff Software Engineer, Data Platform

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>
$170K &ndash; $185K &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></div><p>
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.</p><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>
About the role</b></p><p>
WorkWhile is seeking a Senior Data Engineer to join the Engineering team and lead the development and operation of our data platform powering analytics, ML models, and operational intelligence across the WorkWhile staffing marketplace. In this role, you will be responsible for designing, building, and maintaining data pipelines and infrastructure on Google Cloud Platform that enable our Data Science team to train and deploy models at scale - from demand forecasting and worker reliability prediction to dynamic pricing and retention modelling.</p><p>
You will own and evolve our Dagster-based orchestration platform, BigQuery data warehouse, and the integrations that connect our PostgreSQL production database to our analytical layer. You will work closely with Data Science, Product Engineering, and Operations to ensure reliable, well-modelled, high-quality data is available where and when it&rsquo;s needed. Your work will directly improve how WorkWhile matches workers with opportunities, predicts marketplace dynamics, and delivers a better experience for workers and businesses alike.</p><p>
Expect to work in a fast-paced, collaborative environment where your contributions directly support WorkWhile&rsquo;s mission to make hourly work more accessible, reliable, and rewarding for everyone.</p><p><b>
What you'll do</b></p><ul><li><div>
Build and optimize data pipelines that ingest, transform, and model data from PostgreSQL, Amplitude, and external sources into BigQuery</div></li><li><div>
Own BigQuery data warehouse architecture: dataset organization, table design, partitioning, clustering, and query performance optimization</div></li><li><div>
Work to improve Ops ML platform capabilities and processes, partnering with the Data Science team to support efficient and reliable ML training and pipelines</div></li><li><div>
Work on reverse ETL workflows and API integrations that push model predictions back into production systems</div></li><li><div>
Support analytics by ensuring clean, performant datasets are available for self-serve reporting</div></li><li><div>
Collaborate with Engineering on Terraform-managed GCP infrastructure</div></li><li><div>
Optimize Cloud Tasks and Cloud Scheduler configurations for data refresh jobs and materialized view maintenance</div></li></ul><p><b>
What we're looking for</b></p><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Mathematics, or equivalent experience</div></li><li><div>
5+ years in data engineering or data platform engineering</div></li><li><div>
Experience with Dagster or similar orchestration tools (Airflow, Prefect)</div></li><li><div>
Expertise in SQL, with the ability to write and optimize complex analytical queries across BigQuery and PostgreSQL</div></li><li><div>
Proficiency building data pipelines in Python</div></li><li><div>
Experience maintaining data warehouses on BigQuery, Snowflake, or Redshift</div></li><li><div>
Hands-on experience with Google Cloud Platform services</div></li><li><div>
Familiarity with ML workflows and the ability to collaborate with Data Scientists on feature engineering, training pipelines, and model serving</div></li><li><div>
Experience with infrastructure-as-code (Terraform) and containerized deployments (Docker, ECS, Cloud Run, Kubernetes, etc.)</div></li><li><div>
Proficiency with data quality frameworks, monitoring, and observability tooling</div></li><li><div>
Strong collaboration skills and a track record of partnering effectively with Data Science and Product Engineering teams</div></li><li><div>
Passion for building reliable, well-tested data systems - you care about code quality (linting, type checking, CI) as much as pipeline uptime</div></li></ul><p><b>
Nice to have</b></p><ul><li><div>
Experience with reverse ETL tools like Hightouch or Census</div></li><li><div>
Familiarity with BI tools such as Metabase or Looker</div></li><li><div>
Background in marketplace, staffing, or gig economy data domains</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>

Senior Data Engineer, Engineering

Sixth Street

<div><p><b>The Role</b></p>
<p>
This is a full-time role on the Core Engineering Architecture team and is based in either New York, NY or Austin, TX. The team is responsible for building and maintaining the data infrastructure and data pipelines required to support all functions across the organization. It is also responsible for ensuring the safe and correct data usage across the organization through robust and secure services which is crucial for the efficient operation of our middle and back offices.</p>
<p><b>
Core Responsibilities</b></p>
<ul>
<li>Development and support of the company data platform</li>
<li>Build and maintain data pipelines connecting the data platform with various information systems used within the company</li>
<li>Contribute to internal libraries developed solutions are reusable and consistent across the company</li>
<li>Improve CI/CD processes and infrastructure to ensure high performance and availability of the services provided by the data platform</li>
</ul>
<p><b>Required</b></p>
<ul>
<li>4+ years of Java programming</li>
<li>2+ years of Python programming</li>
<li>1+ year of software development for AWS</li>
<li>Experience with SQL and relational databases</li>
<li>B.S. or M.S. in Computer Science</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Familiarity with github CI/CD workflow</li>
<li>Familiarity with docker</li>
<li>Familiarity with Linux command line tools</li>
<li>Ability to collaborate effectively across multiple teams</li>
</ul>
<p><b>Compensation</b></p>
<p>
The base salary for this position is expected to be between $130,000 and $160,000. The base salary offered to the selected candidate will be commensurate with a candidate's relevant experience and other qualifications for the position, as determined by Sixth Street in its sole discretion.</p>
<p>
In addition to base salary, this position is eligible for an annual discretionary bonus and a competitive benefits package. Benefits offered currently include health, life, long-term and short-term disability insurance and a 401(k) plan. In addition, this role is eligible for paid public holidays (NYSE calendar), paid sick days pursuant to local laws, and additional reasonable time off subject to manager approval.</p>
<p>
If a job offer is extended for a location other than New York, the salary range may differ based on the location.</p>
<p><b>
About Sixth Street</b></p>
<p>
Founded in 2009, Sixth Street is a leading global investment firm dedicated to developing themes and offering solutions to companies across all stages of growth.<br>
<br>
Our firm is designed for cross-platform collaboration at scale: we build businesses, invest for growth, acquire assets, provide direct financing, identify value in public markets, purchase royalty streams, and regularly develop first-of-their-kind structures to meet the strategic objectives of management teams.<br>
<br>
We do all this globally and as one unified team of investment and control-side professionals working on behalf of our institutional investors and their beneficiaries around the world.<br>
<br>
We believe adhering to our core values is a competitive advantage. Everyone on our team contributes their perspectives and expertise to help us solve complex challenges and get to the right answer. At Sixth Street, the best idea wins.</p>
<p>
For more information, visit the Sixth Street Careers site or follow us on LinkedIn.</p>
<p><i>
Sixth Street is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, genetic history, marital status, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran or military status, disability, genetic predisposition, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws.</i></p>
<p><i>
Pursuant to the San Francisco Fair Chance Ordinance, Sixth Street will consider for employment qualified applicants with arrest and conviction records.
</i></p><p><i>If you need a reasonable accommodation to fill out this application, please contact </i><i>Cindy Bombara</i><i>.</i></p>
<p>
Please refer to the privacy notice on our website for additional information regarding our obligations under the California Consumer Privacy Act (&quot;CCPA&quot;).</p>
<p>
If you are not eligible for this role, please refer to our Careers Page for other opportunities.</p></div><p></p>

Software Engineer Associate - Data Platform Team

<div><p><b>The Role</b></p>
<p>
This is a full-time role on the Core Engineering Architecture team and is based in either New York, NY or Austin, TX. The team is responsible for building and maintaining the data infrastructure and data pipelines required to support all functions across the organization. It is also responsible for ensuring the safe and correct data usage across the organization through robust and secure services which is crucial for the efficient operation of our middle and back offices.</p>
<p><b>
Core Responsibilities</b></p>
<ul>
<li>Development and support of the company data platform</li>
<li>Build and maintain data pipelines connecting the data platform with various information systems used within the company</li>
<li>Contribute to internal libraries developed solutions are reusable and consistent across the company</li>
<li>Improve CI/CD processes and infrastructure to ensure high performance and availability of the services provided by the data platform</li>
</ul>
<p><b>Required</b></p>
<ul>
<li>4+ years of Java programming</li>
<li>2+ years of Python programming</li>
<li>1+ year of software development for AWS</li>
<li>Experience with SQL and relational databases</li>
<li>B.S. or M.S. in Computer Science</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Familiarity with github CI/CD workflow</li>
<li>Familiarity with docker</li>
<li>Familiarity with Linux command line tools</li>
<li>Ability to collaborate effectively across multiple teams</li>
</ul>
<p><b>Compensation</b></p>
<p>
The base salary for this position is expected to be between $130,000 and $160,000. The base salary offered to the selected candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by Sixth Street in its sole discretion.</p>
<p>
In addition to base salary, this position is eligible for an annual discretionary bonus and a competitive benefits package. Benefits offered currently include health, life, long-term and short-term disability insurance and a 401(k) plan. In addition, this role is eligible for paid public holidays (NYSE calendar), paid sick days pursuant to local laws, and additional reasonable time off subject to manager approval.</p>
<p>
If a job offer is extended for a location other than New York, the salary range may differ based on the location.</p>
<p><b>
About Sixth Street</b></p>
<p>
Founded in 2009, Sixth Street is a leading global investment firm dedicated to developing themes and offering solutions to companies across all stages of growth.<br>
<br>
Our firm is designed for cross-platform collaboration at scale: we build businesses, invest for growth, acquire assets, provide direct financing, identify value in public markets, purchase royalty streams, and regularly develop first-of-their-kind structures to meet the strategic objectives of management teams.<br>
<br>
We do all this globally and as one unified team of investment and control-side professionals working on behalf of our institutional investors and their beneficiaries around the world.<br>
<br>
We believe adhering to our core values is a competitive advantage. Everyone on our team contributes their perspectives and expertise to help us solve complex challenges and get to the right answer. At Sixth Street, the best idea wins.</p><br>
<p></p>
<p><i>
Sixth Street is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, genetic history, marital status, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran or military status, disability, genetic predisposition, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws.</i></p>
<p><i>
Pursuant to the San Francisco Fair Chance Ordinance, Sixth Street will consider for employment qualified applicants with arrest and conviction records.
</i></p><p><i>If you need a reasonable accommodation to fill out this application, please contact </i><i>Cindy Bombara</i><i>.</i></p>
<p>
Please refer to the privacy notice on our website for additional information regarding our obligations under the California Consumer Privacy Act (&ldquo;CCPA&rdquo;).</p></div><p></p>

Software Engineer Associate - Data Platform Team New

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