Senior Data Scientist -  Experimentation & Measurement

San Diego, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

The Accounts team is a seasoned team at SIE which interacts with various critical systems server side, client side and commerce related teams. Using state of the art technology, leveraging AWS services, we create high transaction, low latency systems that live at the heart of every module in platform engineering.

This is a fast paced, high-visibility engineering position within SIE’s platform engineering organization helping to establish a linear scale, highly available, fault-tolerant, globally distributed accounts services platform.

 This next generation Accounts platform will support the fast growing SIE customer base on both world class PlayStation consoles, ,devices and PC platforms. This key role will lead the technology transformation of the accounts services platform including existing and new services to support the dramatic customer growth on the platform.

 As a Senior Software Development Engineer in the team, you will design and develop highly scalable, distributed services, as well as collaborate with product managers, architects , engineers, and operations team members across playstation.  This is a fast-paced environment that leverages lightweight SOA design patterns. We encourage innovation and expect developers to take a high level of ownership throughout the software life cycle.

If you are a strong developer with experience and interest in distributed systems, databases, performance and scalability, we'd like to talk to you.

Basic Requirements:

• Bachelor's Degree or Master’s Degree in Engineering, Computer Science or equivalent experience

• 5+ years of experience in developing business critical software using Enterprise Java/J2EE, Web Services, REST, JSON/XML, expert level of object oriented programming analysis and design

• 2+ years’ experience developing with AWS native services such as EC2, EKS, S3, Kinesis, Glue, Lambda, SQS, SNS and DynamoDB

• Experience developing applications on Java Services on Linux platforms

• Experience with servlet containers (e.g., Tomcat, Reactor Netty), JAXRS, Spring, and related technologies

• Experience developing web services using JSON and XML

• Prior experience working with Python is a plus

• Proficient in software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Demonstrated ability to take a project from initial scope out of requirements to launch

• Possess deep knowledge of computer science fundamentals such as object oriented design, data structures, algorithm design, problem solving, and complexity analysis.

Preferred Qualifications:

• Experience with micro service architecture.

• Experience creating UML artifacts (e.g., class, sequence, and component diagrams)

• Experience with AI driven development tools for code review and pipeline management

• Experience in requirements engineering, describing software product features, and technical designs.

• Experience with large scale account management systems with high throughput requirements

• Experience in deploying, operating, and managing services in AWS or other cloud environments.

• Asynchronous programming, Non-blocking I/O, Event-driven and backpressure handling

• Experience building high performance, active-active, linearly scalable production services (Enterprise Java/J2EE, or C++, Web Services, REST, SQL/NoSQL data layers)

Software Engineer II, Backend

San Diego, CA

Primary Responsibilities:

• You will provide strong technical abilities in cloud-based software development and highly scalable API designs
• Design, implement and maintain RESTful Web Services API and algorithms
• Produce excellent, detailed design and development documentation
• Work with team members to deliver features on time, respond to evolving requirements, and strategic shifts in direction
• Familiar and comfortable with Agile/Scrum software development methodology

 Qualifications:

•  2-5 years of proven programming experience in Java (or equivalent enterprise back-end) developing server-side applications, object-oriented design and design patterns, and passionate about writing high-quality and well-architected code
• Experience in building high-performance and cloud-based scalable web services
• Experience implementing services backed by SQL and NoSQL data stores
• Strong understanding of engineering standard methodologies – requirement gathering and analysis, design and develop secure and scalable code with unit tests, participate in code reviews and documentation, experience with multiple technology stacks
• Ability to balance periodic on-call duty, and defensive engineering to minimize impact
• Strong written and verbal communication skills
• Experience with Amazon Web Services and cloud architecture
• Knowledge of DevOps practices, containerization, Docker/Kubernetes

About SHEIN 

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. 

Position Summary 

We’re seeking a full-time Database Engineer (official title is Database Engineer III) with experience working in large-scale mission-critical environments with zero downtime for our San Diego-based corporate office.

The SHEIN DBRE team is a mix of DBA/SRE/DBRE oriented folks whose overarching goal is to provide highly available data services at scale. They strive to build an extremely reliable, performant, and secure database infrastructure through the skillful use of automation. This team is responsible for providing new architectures and scalability solutions to ever-growing business and data processing needs.

Our ideal candidate has a strong understanding of database fundamentals and how the properties of different database systems interact with applications and operating systems. You will be working onsite on a distributed team, with access to multiple customer environments. 

 Job Responsibilities 

• Maintaining scalable, reliable, and robust production database environments.
• Monitoring for problems and diagnosing and addressing those problems as needed.
• Performance tuning, query optimization, and index tuning.
• Building database tools and scripts to simplify, automate, to reduce operation toil.
• Responsible for working with development teams and engineers to provide a database design guidance.
• Handle Database upgrades and migrations, while monitoring and improving database performance.
• Triage and solve database issues, drive incidents until resolution and employ measures to prevent recurrence.
• Do capacity planning benchmarking on various databases.
• Provide assessments of data integrity, high availability, data security, and privacy.
• Provide 24x7 escalated on-call support on a pager rotation.

 Job Requirements 

• Bachelor's degree in Computer Science or Information Systems or equivalent technical discipline.
• MySQL specific database experience.
• Experience using Azure or any other cloud provider.
• A solid understanding of distributed/replicated database topologies.
• Systematic problem-solving approach, combined with a sense of ownership and drive.
• Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability.
• Good understanding of Linux system, ability to deploy open-source software independently.
• Proficient in more than one scripting language (golang/python/shell, etc.).
• A strong desire to be challenged by problems of scale and complexity to make our service better for our customers. 
• The ability to remain calm in the face of extreme crises.
• Good verbal and written communication skills, and be able to work effectively with geographically remote teams.
• AI Competency Requirements (Junior MySQL Operations Engineer) Familiar with mainstream AI coding assistants (e.g., Claude Code, ChatGPT, Gemini) and able to leverage them for day-to-day operations tasks such as SQL optimization suggestions, troubleshooting, and documentation generation.
• Capable of writing effective prompts and iteratively refining them based on model outputs; aware of AI model limitations and maintains a habit of manually validating results.
• Has hands-on experience using AI tools to address real MySQL operations scenarios, such as slow query analysis, parameter tuning recommendations, and incident diagnosis assistance.
• Understands the fundamentals of RAG (Retrieval-Augmented Generation) and is able to structure database operations knowledge into AI-consumable formats, such as knowledge bases, tuning case libraries, and FAQ documents.
• Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector).
• Understands the basics of MCP (Model Context Protocol) integration and is familiar with how AI Agents interact with external tools.
• Maintains a habit of organizing day-to-day operations experience into structured documents or prompt templates for team-wide sharing and reuse.

Nice to Have

• Bilingual fluency in Mandarin and English.
• Experience managing MySQL / Percona Server 8 at scale.
• Experience managing distributed database, like Clickhouse, Hbase, MongoDB and Starrocks etc. Experience with Percona tools, Orchestrator, Ghost etc.

Benefits and Perks 

• Bonus eligible
• Healthcare (medical, dental, vision, prescription drugs) 
• Health Savings Account with Employer Funding 
• Flexible Spending Accounts (Healthcare and Dependent care) 
• Company-Paid Basic Life/AD&D insurance 
• Company-Paid Short-Term and Long-Term Disability 
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) 
• Employee Assistance Program 
• Business Travel Accident Insurance 
• 401(k) Savings Plan with discretionary company match and access to a financial advisor  
• Vacation, paid holidays, floating holiday and sick days   
• Employee discounts 
• Free weekly catered lunch 
• Dog-friendly office (available at select locations) 
• Free gym access (available at select locations) 
• Free swag giveaways 
• Annual Holiday Party 
• Invitations to pop-ups and other company events 
• Complimentary daily office snacks and beverages

#LI-ED1

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Primary Responsibilities

• Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
• Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
• Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
• Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
• Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
• Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
• Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
• Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
• Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
• Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
• Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
• Other duties as assigned

Education/Experience/Skills

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
• 5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
• Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
• Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
• Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
• Experience operating in a regulated environment and following GxP or similar compliance processes
• Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID

#LI-CS1

OPEN POSITION ANNOUNCEMENT!

Data Engineer

Open until filled.

Posted 4/29/2026 San Diego County – hybrid work schedule set by SDCP

About the role:  The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts who will be responsible for designing, maintaining, expanding, and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority of this role will be to assist in SDCP’s development of centralizing its data eco-system to allow for creation of pipelines that convert raw data into usable formats for data analysts and other data consumers to utilize. The Data Engineer will handle the core data aspects of software engineering and data science and utilize software engineering principles to develop algorithms that automate the data flow process. They will collaborate with data and system analysts to build machine learning and analytics infrastructure from testing to deployment. 

WHO IS SAN DIEGO COMMUNITY POWER?

San Diego Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.  

OUR HISTORY

San Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and serve five member agencies: San Diego, Chula Vista, Encinitas, La Mesa and Imperial Beach, County of San Diego, and National City. SDCP was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. By the end of 2023, SDCP will provide electricity for nearly half the electric load in San Diego Gas and Electric’s service territory and will be the second largest CCA in California. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITES

• Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources. 
• Assemble large, complex data sets that meet functional/non-functional business requirements. 
• Developing data tools and APIs for data analysis. 
• Deploying and monitoring machine learning algorithms and statistical methods in production environments to solve organizational needs. 
• Ensuring data accessibility and security and implementing company data policies regarding data privacy and confidentiality. 
• Improving data systems reliability, speed, and performance. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer trends, operational efficiency, and other key business performance metrics. 
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs. 
• Assist in drafting data and analytics’ solicitations and in the selection of consultants. 
• Assist with drafting staff reports and presentations for Board and Committee meetings. 
• Performs other related duties and responsibilities as required. 

MINIMUM KNOWLEDGE, SKILLS, AND ABILITES

• Advance working knowledge of SQL, experience working with relational databases, query authoring (SQL) and working familiarity with various databases. 
• Demonstrated experience in developing API and integrations to support analytics in cloud environment. 
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. 

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management. 
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets. 
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 
• Good understanding of data architecture, data design, data warehousing and data modeling concepts. 
• Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment. 

PREFERRED KNOWLEDGE, SKILLS, AND ABILITES

• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).

PREFERRED QUALIFICATIONS, EDUCATION AND EXPERIENCE

Minimum of two (2) to three (3) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. The candidate should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, PowerBI, Kafka, etc.
• Experience with AWS, Azure and Google Cloud services.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with open-source technologies: Python, Pytorch, Flask, Tensorflow or Keras
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Java, C++ etc.
• Experience with batch, micro-batching and real-time data ingestion methodologies.
• Experience with GitHub or similar code repositories

WORK ENVIROMENT & CONDITIONS

Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. At SDCP we work in the communities we serve and in the office. SDCP works to ensure a safe and healthy workplace for employees and in our communities. SDCP requires employees to be fully vaccinated for COVID-19. SDCP is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission.

COMPENSATION: 

Salary Range: The position salary range is: $84,900 - $110,400; with exact compensation to be determined by SDCP, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP.

Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.

Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of SDCP as needed. 

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

POSITION SUMMARY:

We are looking for a Product Success Engineer to join our fast-growing team in San Diego. The Product Success Engineer will work to support different products throughout the various stages of development and production. The ideal candidate would be able to resolve and document product issues and will be self-motivated with the ability to work independently to meet product milestones.

ESSENTIAL FUNCTIONS:

• Requires 60 - 80% time in office (5 days a week)
• Debug troubleshoot consumer electronic devices
• Drive the development of Technical Documentation in conjunction with our India team. 
• Hands on Installation support and product testing at friendly customers.
• Work with customers to identify, resolve, and document product issues.
• Assist with development of internal procedures and processes.
• Domestic travel as required for product support issues. Less than 10%.
• Unusual Hours may be required at times to work with our India team
• General assistance to the team as time allows.
• Assist with custom cable designs and mechanical drawings a plus.
• Running Linux scripts to update new software and configurations onto devices a plus.
• Testing and Validations of Application code for mobile phones a plus
• Experience with JIRA and Confluence a plus.

QUALIFICATIONS:

• 2 + years of experience working in a professional product development environment.
• Good communication skills and the ability to work with other groups within the company.
• Familiar with test equipment such as Volt/Ohm Multimeters & Oscilloscopes
• Self-motivated with the ability to work independently to meet product milestones
• Familiarity with Microsoft office products such as MS Word, Excel and Power Point
• Experience with product testing and development.
• Root cause analysis debugging skills for both Hardware and Software are a big plus.
• Familiarity with Linux OS a plus
• Basic scripting programing a plus (Python and Bash).
• Familiarity with SQL/AWS database queries. (Postgres and MySQL) a plus.
• Willingness to work on actual test vehicles at friendly customer sites for product development.
• Willingness for domestic travel as needed (approx. 5-10%)
• Familiarity with 3D printers/CAD is a plus.

Education:

Bachelor's degree required

Electronic Engineering a plus

Economic Package Includes: 

• Salary + annual bonus eligibility   
• Company equity
• Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
• Generous PTO and Sick Leave
• 401(K) with generous company match
• Disability, Life Insurance and Ancillary Benefits
• And much more

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

As a member of our Technical Support Team, the Technical Support Engineer IV (TSE IV) plays a critical role in ensuring the optimal performance and reliability of robots deployed in diverse, real-world environments.  This role demands expertise in both software and hardware systems and involves proactive monitoring and sophisticated data analysis using cloud-based platforms.  

The TSE IV is responsible for identifying and resolving complex technical issues, spearheading advanced troubleshooting initiatives and implementing strategic solutions that enhance customer operations. This position also serves as the primary liaison between our customers and our engineering teams, advocating for customer needs and influencing the direction of product development. The TSE IV is expected to mentor junior engineers, lead critical projects and contribute to the strategic planning and execution of the Tech Support team’s goals.

Essential Job Functions: 

• Responsible for supporting the hardware and software aspects of Brain Corp’s fleet of robots
• Proactively monitor deployed fleet of robots remotely using internal tools to identify and solve issues effectively
• Conduct independent technical troubleshooting on customer-reported issues and implement effective resolutions
• Develop and expand comprehensive expertise in Brain Corp’s robotic systems, encompassing hardware, software, navigation kits, sub-system and cloud infrastructure. Utilize this knowledge to effectively troubleshoot and resolve issues as they arise
• Act as a Subject Matter Expert (SME) for both direct customers and Original Equipment Manufacturers (OEMs), adept at understanding their needs and resolving any issues they encounter in a timely and efficient manner
• Lead customer meetings and discussions
• Act as the primary liaison between our company and our end users
• Lead internal or external customer related initiatives addressing issues as they arise
• Collaborate closely with the Account Management team to address and resolve any issues or concerns raised by end users
• Proactively identify opportunities to enhance customer satisfaction and retention
• Coordinate meetings with service providers and OEMs:
• • Organize and lead regular meetings with service providers (SPs) and OEMs to discuss current issues, implement changes, and address any complaints
  • Ensure effective communication and collaboration between all parties to maintain strong working relationships and resolve issues promptly
  • Document meeting outcomes, track action items, and follow up to ensure timely resolution of all concerns
• Provide issue resolution and continuous improvement:
• • Take ownership of the resolution process for any issues reported by end users, SPs, or OEMs
  • Work cross-functionally with internal teams to identify root causes and implement corrective actions
  • Continuously seek ways to improve processes and enhance the overall customer experience
• Lead the quality resolution process, initiating from customer-reported symptoms, progressing through troubleshooting cycles to identify root causes effectively
• Provide training & enablement to OEM/customer when needed; providing on-site support within geographic region as needed
• Serve as an escalation point between Tech Support and Fleet Ops and Engineering teams
• Assist with the creation and monitoring of team metrics 
• Provide training and support to junior staff and mentor team members

Education and/or Work Experience Requirements: 

• Bachelor’s degree in computer science or STEM related field 
• 6+ years of experience working with customers in a technical field or customer service role 
• Experience in leading projects that positively impact both the company and customers,   showcasing effective leadership and the ability to deliver favorable outcomes to all stakeholders

Required Knowledge, Skills, Abilities and Other Characteristics:

• Excellent communication skills, both written and verbal, in order to effectively articulate and communicate complicated technical issues to customers, peers and engineering teams 
• Knowledge of basic Linux commands
• Expert in creating data dashboards using tools as Tableau, Grafana, PowerBI, etc, integrating data from various data sources such as SQL and Big Query
• Expert using Confluence and a Ticketing system such as Jira or Service Cloud 
• Experience with SQL, Big Query, data dashboards (Tableau, Grafana, or PowerBI
• Proven experience in a customer-facing role, preferably in a more senior role within the service or technology industry
• Strong interpersonal and communication skills, with the ability to effectively manage and resolve conflicts
• Proficient with issue tracking and resolution processes
• Excellent organizational skills and attention to detail
• A proactive and solution-oriented mindset
• Possess the ability to understand complex software infrastructure and architecture 
• Exhibit strong analytical skills and  the capacity to approach complex issues with a logical and methodical mindset
• Demonstrate strong technical troubleshooting skills in resolving software and hardware issues
• Collaborate effectively within small, cohesive teams to achieve common goals

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to  50-75 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $44.19/hr - 57.19/hr. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives.

Essential Job Functions:

• Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
• Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
• Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
• Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
• Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
• Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or applicable engineering discipline
• 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
• Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
• Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
• Understanding of data governance, security, and compliance best practices
• Strong problem-solving skills and ability to work independently on projects
• Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
• Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders

Things that make a difference:

• Experience with machine learning models and data science methodologies
• Experience with Google Cloud and their data ecosystem
• Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
• Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

We are seeking a Staff Software Development Engineer in Test, Cloud Applications to lead the design and evolution of quality engineering architecture across our web applications, cloud services, mobile platforms, and data systems.

This role combines deep technical leadership with hands-on engineering, operating as a working lead responsible for both architectural quality initiatives and the mentorship and management of a team of SDETs. The Staff SDET will guide a small team of engineers while remaining actively involved in designing and building scalable automation frameworks and validation platforms.

The role focuses on building engineering-grade automation, quality platforms, and validation strategies that enable teams to deliver reliable systems at scale. The Staff SDET acts as a quality architect, partnering with engineering, platform, and product teams to embed validation directly into system design, CI/CD pipelines, and data workflows.

The ideal candidate combines strong software engineering skills in Python with deep expertise in distributed systems testing, cloud-native environments, mobile testing platforms, and data validation frameworks.

Essential Job Functions:

Automation Platform Development

• Design and implement scalable automation frameworks and validation platforms using Python
• Build reusable automation libraries and developer-facing tooling that enable teams to validate functionality earlier in the development cycle
• Architect automated validation strategies across:
• Modern web applications
• APIs and microservices
  Distributed cloud systems
• Mobile platforms
• Data pipelines and analytics platforms including ML outputs.
• Integrate automation frameworks into CI/CD pipelines to enable rapid feedback and high-confidence releases

Mobile Platform Validation

• Architect automated testing strategies for mobile applications across iOS and Android platforms
• Leverage cloud device platforms such as BrowserStack to enable scalable cross-device testing
• Integrate mobile automation into CI/CD pipelines to support validation across devices, operating systems, and configurations
• Define strategies for mobile UI testing, API validation, and end-to-end workflow testing

Cloud & Distributed Systems Validation

• Design validation strategies for cloud-native microservices architectures
• Enable automated testing for service interactions through contract testing, integration validation, and environment simulation
• Partner with infrastructure and DevOps teams to embed quality gates within deployment pipelines
• Drive improvements in system reliability, performance, and resilience testing

Data Platform Quality Engineering

• Architect automated validation for data pipelines, data transformations, and data platform services
• Establish frameworks to validate data integrity, schema evolution, lineage, and reproducibility
• Partner with Data Engineering teams to ensure quality is built into analytics and machine learning
• Partner with data science and ML Ops teams to ensure reproducibility, monitoring, and validation of ML models within production systems, including drift detection and model performance validation

Technical Leadership & Engineering Influence

• Act as a technical leader across engineering teams, influencing architecture and engineering practices to improve product quality and system reliability
• Collaborate with product management, development, and DevOps teams to align testing strategies with product goals
• Facilitate the adoption of AI/ML/LLM-enabled testing strategies where appropriate
• Contribute to system and design reviews to ensure new components are observable, testable, and resilient
• Shape the direction of the Quality Engineering discipline, driving adoption of modern testing approaches and tooling workflows

Working Lead & Team Leadership

• Serve as a working lead and manager for a team of SDETs, providing architectural guidance and mentorship
• Conduct performance reviews, support career development, and foster engineering excellence within the team
• Guide the team’s technical direction while remaining hands-on in framework design and automation architecture
• Coordinate quality engineering initiatives across projects to ensure alignment with organizational priorities

Data-Driven Quality Insights

• Establish metrics, dashboards, and observability strategies that provide real-time visibility into product health and release readiness
• Provide engineering leadership with data-driven insights into system reliability, defect trends, and risk areas
• Investigate system behaviors and diagnostic data to identify root causes and drive cross-team issue resolution
• Ensure traceability between requirements, implementation, and verification

Education and/or Work Experience Requirements: 

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• 7+ years of experience in software engineering or SDET roles working with complex distributed systems, with at least 3 years in a technical leadership role 
• Strong software development skills in Python, including building automation, tooling, or validation systems
• Demonstrated experience designing and implementing automation frameworks or validation platforms across multiple layers of the stack (UI, API, service, integration, and data)
• Strong experience validating web applications, APIs, and distributed microservices architectures
• Demonstrated ability to integrate automated validation strategies into CI/CD pipelines
• Strong understanding of modern software testing methodologies and quality engineering practices, including functional, integration, and system testing
• Experience implementing browser automation frameworks such as Playwright or Cypress
• Strong debugging and analytical skills, including the ability to investigate complex failures and support root cause analysis
• Demonstrated ability to mentor engineers and influence engineering practices within a team or product area
• Excellent communication, collaboration, and technical documentation skills
• Proven capability in utilizing AI/ML-assisted testing techniques to enhance coverage, diagnostics, and defect detection

Preferred Qualifications:

• Experience validating data platforms and data pipelines, including SQL-based systems, data warehouses, and ETL/ELT workflows
• Experience implementing contract testing or service-level validation strategies in distributed systems
• Experience building or improving quality dashboards, metrics, or reporting systems used to evaluate system health and release readiness
• Experience testing mobile applications and working with cross-device testing platforms

Things that make a difference:

• Master’s degree in Computer Science, CE, EE.
• Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation
• Experience with simulation-based testing environments, such as NVIDIA Isaac Sim or similar robotics simulation platforms
• Experience working in environments that combine cloud services, mobile applications, and data platforms
• Experience in mobile robotics or industrial automation is a plus
• Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The physical activity of this position includes, kneeling; reaching; pushing; pulling; sitting, standing and walking for periods of time; using hands to finger and grasp; repetitive motion; talking and hearing. close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines; use of measurement devices; and/or assembly or fabrication parts at distances close to the eyes; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $133,500 to $155,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

In addition to base pay, our competitive total rewards package consists of:

• A discretionary annual target bonus
• Stock options
• 401(k) plan with match (no waiting period and immediate vesting)
• Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
• Access to Flexible Spending Accounts (Medical and Dependent Care)
• Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown

Additional Perks include:

• Daily on-site lunch available in the San Diego office
• On-campus gym including pool and tennis courts in the San Diego office
• Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events 
• Internal continuous learning events 
• Opportunities to share your own interests and hobbies with the Company

The Role

As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer, and drive architectural judgment and independent problem-solving as platform complexity scales post-migration.

This is a hands-on data engineering role focused on building and maintaining production pipelines, exercising architectural judgment on data modeling and pipeline design, and serving as the onshore escalation point and institutional knowledge backup for platform decisions.

The Business Challenge

We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. As the platform matures, the data engineering team needs senior onshore technical presence to drive architecture ownership and maintain platform quality.

What You'll Build

• Production Data Pipelines: Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale.
• Data Modeling & Architecture: Exercise architectural judgment on data modeling, pipeline design, and platform usage—translating complex business requirements into scalable data solutions across our product portfolio.
• Stakeholder Engagement: Engage proactively with product and engineering stakeholders to translate requirements into data solutions, serving as the primary onshore technical point of contact for data engineering needs.
• Platform Quality: Drive platform quality through code reviews, testing practices, and engineering standards that ensure the team delivers reliable, maintainable data infrastructure.
• Knowledge & Continuity: Serve as onshore escalation point and institutional knowledge backup for platform decisions, reducing single-point-of-failure risk and building onshore technical depth as the platform scales.

Business Problems You'll Solve

• Multi-Product Data Delivery: Implement data pipelines that serve multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning) with distinct data requirements, ensuring each product gets the data it needs reliably and on schedule.
• Legacy Migration Execution: Lead pipeline implementation for migrating multi-terabyte datasets from legacy systems to Databricks, working within the architecture defined by the Lead Data Platform Engineer.
• Onshore Technical Leadership: Provide the senior judgment layer the current nearshore team cannot—owning problems end-to-end, making independent architectural decisions, and mentoring engineers to raise the quality bar across the team.
• Cross-Team Coordination: Bridge the gap between product teams and data infrastructure, translating business requirements into data solutions and ensuring the data platform delivers on product commitments.

Required Experience

Core Data Engineering

• SQL, Python, and PySpark—production pipeline implementation and performance optimization
• Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred
• 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction
• Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation
• Strong data modeling skills across structured and semi-structured data sources

Platform & Infrastructure

• AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions
• Infrastructure-as-code experience (Terraform preferred)
• Familiarity with data governance patterns (Unity Catalog, data lineage, access controls)

Technical Leadership

• Demonstrated ability to exercise independent architectural judgment—not just ticket execution
• Experience mentoring or guiding junior and mid-level data engineers
• Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders
• Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement

Preferred But Not Required

• Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms
• Background building pipelines that serve AI/ML workloads (preparing data for downstream ML consumption, RAG, and LLMs)
• Familiarity with data governance frameworks and compliance requirements for regulated industries
• Experience working alongside or transitioning from nearshore engineering teams

What We Offer

(The following only applies to US-based positions)

• A collaborative team culture with opportunities for career development.
• Ample opportunities to be recognized, build valuable skills, and grow your career.
• Generous vacation policy, including paid parental leave.
• Comprehensive health plans with FSA and HSA options.
• 401(k) retirement plan.
• Life and disability insurance coverage.
• Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.

About Us

At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. We are committed to diversity, inclusion, and equal opportunities for all.

What The Role Is

The O&M Cost Strategy Associate supports the development, analysis, and continuous improvement of Operations & Maintenance (O&M) cost models across Clearway’s renewable energy portfolio. This role focuses on building and maintaining data-driven cost insights, supporting forecasting activities, benchmarking O&M spend, and assisting cross-functional teams in evaluating operational performance and future cost trends.

The ideal candidate has a solid foundation in renewable energy operations or power generation, hands-on experience with financial or operational modeling, and knows how to communicate technical findings across a range of audiences — from engineering and procurement to finance and business development. A solid foundation in renewable energy or power generation and fluency with tools like Power BI are key. Familiarity with AI-assisted workflows is a plus.

If you're motivated by the energy transition and want a role where your analytical work directly supports one of the largest clean energy portfolios in the country, we'd love to hear from you.

*This job posting is open to Scottsdale, San Diego, Houston, Denver, and San Francisco offices*

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing

• Develop and maintain bottom-up cost estimating models for wind, solar, and storage assets across all project phases (greenfield, operating, repower, and M&A).
• Use statistical and forecasting tools to model maintenance spend and equipment risk profiles.
• Collaborate with internal stakeholders (O&M, engineering, procurement, FP&A) to validate O&M cost assumptions.
• Support internal teams (business development, procurement, O&M, capital market, etc.) with data requests, cost breakdowns, and scenario analysis.
• Assist in preparing cost assumptions for annual budgeting and long-range planning processes.
• Analyze historical O&M costs to identify trends, cost drivers, and opportunities for efficiency.
• Develop and enhance Power BI dashboards to connect multiple data streams and visualize key model inputs and outputs.
• Use AI tools to automate routine data processing tasks and extracting key commercial data from contracts

What You'll Bring

• Bachelor’s degree in Engineering, Business, Finance, or other applicable fields.
• 4+ years of experience in renewable energy, power generation, or infrastructure.
• Understanding of renewable energy plant operations (solar, wind, or BESS).
• Demonstrated experience in operations support role in development of creative solutions to operating challenges.
• Excellent communication and stakeholder management skills across technical, legal, and financial disciplines.
• Strong analytical and project management capabilities; attention to detail and risk awareness.

What Would Be Nice

• Familiarity with lifecycle cost analysis and predictive maintenance modeling.
• Experience working with large datasets or forecasting tools.
• Familiarity with renewable project finance and typical counterparty and Independent Engineer requirements
• Advanced Microsoft Excel, Word and PowerPoint skills. Proficiency in data analytics tools (Power BI, Tableau, SQL, or Python).

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

The O&M Cost Strategy Associate supports the development, analysis, and continuous improvement of Operations & Maintenance (O&M) cost models across Clearway’s renewable energy portfolio. This role focuses on building and maintaining data-driven cost insights, supporting forecasting activities, benchmarking O&M spend, and assisting cross-functional teams in evaluating operational performance and future cost trends.

The ideal candidate has a solid foundation in renewable energy operations or power generation, hands-on experience with financial or operational modeling, and knows how to communicate technical findings across a range of audiences — from engineering and procurement to finance and business development. A solid foundation in renewable energy or power generation and fluency with tools like Power BI are key. Familiarity with AI-assisted workflows is a plus.

If you're motivated by the energy transition and want a role where your analytical work directly supports one of the largest clean energy portfolios in the country, we'd love to hear from you.

*This job posting is open to Scottsdale, San Diego, Houston, Denver, and San Francisco offices*

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing

• Develop and maintain bottom-up cost estimating models for wind, solar, and storage assets across all project phases (greenfield, operating, repower, and M&A).
• Use statistical and forecasting tools to model maintenance spend and equipment risk profiles.
• Collaborate with internal stakeholders (O&M, engineering, procurement, FP&A) to validate O&M cost assumptions.
• Support internal teams (business development, procurement, O&M, capital market, etc.) with data requests, cost breakdowns, and scenario analysis.
• Assist in preparing cost assumptions for annual budgeting and long-range planning processes.
• Analyze historical O&M costs to identify trends, cost drivers, and opportunities for efficiency.
• Develop and enhance Power BI dashboards to connect multiple data streams and visualize key model inputs and outputs.
• Use AI tools to automate routine data processing tasks and extracting key commercial data from contracts

What You'll Bring

• Bachelor’s degree in Engineering, Business, Finance, or other applicable fields.
• 4+ years of experience in renewable energy, power generation, or infrastructure.
• Understanding of renewable energy plant operations (solar, wind, or BESS).
• Demonstrated experience in operations support role in development of creative solutions to operating challenges.
• Excellent communication and stakeholder management skills across technical, legal, and financial disciplines.
• Strong analytical and project management capabilities; attention to detail and risk awareness.

What Would Be Nice

• Familiarity with lifecycle cost analysis and predictive maintenance modeling.
• Experience working with large datasets or forecasting tools.
• Familiarity with renewable project finance and typical counterparty and Independent Engineer requirements
• Advanced Microsoft Excel, Word and PowerPoint skills. Proficiency in data analytics tools (Power BI, Tableau, SQL, or Python).

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

The O&M Cost Strategy Associate supports the development, analysis, and continuous improvement of Operations & Maintenance (O&M) cost models across Clearway’s renewable energy portfolio. This role focuses on building and maintaining data-driven cost insights, supporting forecasting activities, benchmarking O&M spend, and assisting cross-functional teams in evaluating operational performance and future cost trends.

The ideal candidate has a solid foundation in renewable energy operations or power generation, hands-on experience with financial or operational modeling, and knows how to communicate technical findings across a range of audiences — from engineering and procurement to finance and business development. A solid foundation in renewable energy or power generation and fluency with tools like Power BI are key. Familiarity with AI-assisted workflows is a plus.

If you're motivated by the energy transition and want a role where your analytical work directly supports one of the largest clean energy portfolios in the country, we'd love to hear from you.

*This job posting is open to Scottsdale, San Diego, Houston, Denver, and San Francisco offices*

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing

• Develop and maintain bottom-up cost estimating models for wind, solar, and storage assets across all project phases (greenfield, operating, repower, and M&A).
• Use statistical and forecasting tools to model maintenance spend and equipment risk profiles.
• Collaborate with internal stakeholders (O&M, engineering, procurement, FP&A) to validate O&M cost assumptions.
• Support internal teams (business development, procurement, O&M, capital market, etc.) with data requests, cost breakdowns, and scenario analysis.
• Assist in preparing cost assumptions for annual budgeting and long-range planning processes.
• Analyze historical O&M costs to identify trends, cost drivers, and opportunities for efficiency.
• Develop and enhance Power BI dashboards to connect multiple data streams and visualize key model inputs and outputs.
• Use AI tools to automate routine data processing tasks and extracting key commercial data from contracts

What You'll Bring

• Bachelor’s degree in Engineering, Business, Finance, or other applicable fields.
• 4+ years of experience in renewable energy, power generation, or infrastructure.
• Understanding of renewable energy plant operations (solar, wind, or BESS).
• Demonstrated experience in operations support role in development of creative solutions to operating challenges.
• Excellent communication and stakeholder management skills across technical, legal, and financial disciplines.
• Strong analytical and project management capabilities; attention to detail and risk awareness.

What Would Be Nice

• Familiarity with lifecycle cost analysis and predictive maintenance modeling.
• Experience working with large datasets or forecasting tools.
• Familiarity with renewable project finance and typical counterparty and Independent Engineer requirements
• Advanced Microsoft Excel, Word and PowerPoint skills. Proficiency in data analytics tools (Power BI, Tableau, SQL, or Python).

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

The O&M Cost Strategy Associate supports the development, analysis, and continuous improvement of Operations & Maintenance (O&M) cost models across Clearway’s renewable energy portfolio. This role focuses on building and maintaining data-driven cost insights, supporting forecasting activities, benchmarking O&M spend, and assisting cross-functional teams in evaluating operational performance and future cost trends.

The ideal candidate has a solid foundation in renewable energy operations or power generation, hands-on experience with financial or operational modeling, and knows how to communicate technical findings across a range of audiences — from engineering and procurement to finance and business development. A solid foundation in renewable energy or power generation and fluency with tools like Power BI are key. Familiarity with AI-assisted workflows is a plus.

If you're motivated by the energy transition and want a role where your analytical work directly supports one of the largest clean energy portfolios in the country, we'd love to hear from you.

*This job posting is open to Scottsdale, San Diego, Houston, Denver, and San Francisco offices*

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing

• Develop and maintain bottom-up cost estimating models for wind, solar, and storage assets across all project phases (greenfield, operating, repower, and M&A).
• Use statistical and forecasting tools to model maintenance spend and equipment risk profiles.
• Collaborate with internal stakeholders (O&M, engineering, procurement, FP&A) to validate O&M cost assumptions.
• Support internal teams (business development, procurement, O&M, capital market, etc.) with data requests, cost breakdowns, and scenario analysis.
• Assist in preparing cost assumptions for annual budgeting and long-range planning processes.
• Analyze historical O&M costs to identify trends, cost drivers, and opportunities for efficiency.
• Develop and enhance Power BI dashboards to connect multiple data streams and visualize key model inputs and outputs.
• Use AI tools to automate routine data processing tasks and extracting key commercial data from contracts

What You'll Bring

• Bachelor’s degree in Engineering, Business, Finance, or other applicable fields.
• 4+ years of experience in renewable energy, power generation, or infrastructure.
• Understanding of renewable energy plant operations (solar, wind, or BESS).
• Demonstrated experience in operations support role in development of creative solutions to operating challenges.
• Excellent communication and stakeholder management skills across technical, legal, and financial disciplines.
• Strong analytical and project management capabilities; attention to detail and risk awareness.

What Would Be Nice

• Familiarity with lifecycle cost analysis and predictive maintenance modeling.
• Experience working with large datasets or forecasting tools.
• Familiarity with renewable project finance and typical counterparty and Independent Engineer requirements
• Advanced Microsoft Excel, Word and PowerPoint skills. Proficiency in data analytics tools (Power BI, Tableau, SQL, or Python).

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct an in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Please note that this position can be based in Princeton, NJ, San Diego, CA, or San Francisco, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director, Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining, building, and scaling the analytics capabilities, data strategy, and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data, advanced analytics, and AI enabled insights are seamlessly integrated into commercial strategy, planning, launch execution, and in market optimization.  The Sr. Director serves as a strategic partner cross-functionally, translating business priorities into scalable analytics products and platforms while ensuring governance, compliance, and measurable business impact.

Over time, this role will build and mature commercial advanced analytics and data capabilities, establish fit‑for‑purpose operating models, and define future talent and capability needs to support the evolving business. The role will work closely with Acadia’s AI team, which provides shared AI expertise across Commercial and R&D, as well as with IT teams responsible for enterprise data, infrastructure, and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision, strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects, predictive analytics, and AI/machine learning solutions  supporting brand strategy, launch planning, patient support, segmentation, targeting, omnichannel optimization, and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action, customer engagement optimization, automated forecasting, and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable, validated, and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases, models, and decision frameworks.

• Ensure analytics outputs and insights are actionable, adopted, and embedded into commercial planning, existing workflows, processes, systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership, influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify, prioritize, and scale high-value AI and advanced analytic capabilities, solutions and governance.

Data Strategy, Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition, implementation, and evolution of the commercial data assets, including syndicated claims, EMR, prescription, HUB/SP/Partner, promotional, and digital data.

• Partner cross-functionally with Enterprise Data, IT, and infrastructure teams to enable scalable data platforms, data pipelines, and tools that support analytics, AI, and self-service insights.

• Oversee vendor selection and management for data sources, analytics tools, and platforms.

• Establish governance frameworks for data access, analytics validation, and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA, GDPR, CCPA, and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture, platform standards, security requirements, and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams, ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling, visualization, and business impact measurement.

• Build, lead, retain and mentor a high-performing team and capability in support of advanced analytics, data acquisition, and data governance, while fostering a culture of accountability, continuous improvement, and innovation.

• Assess and evolve organizational capabilities, talent, and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in data science, statistics, engineering, computer science, or a related field; Advanced degree (MS, PhD, or MBA) preferred.  Targeting 12 years of progressively responsible experience in commercial analytics, data science, or data infrastructure data strategy, or related functions, with significant experience in biotech or pharmaceutical organizations.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics, modeling, and visualization tool experience (AI/ML, predictive analytics (Python), SQL, R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g., Snowflake, Databricks, DataRobot, Dataiku, AWS, Azure, GCP).

• Deep experience and understanding of commercial datasets, data environments, and data vendors (including Hub, Specialty Pharmacy, patient services, Veeva CRM, syndicated claims, prescriptions, payer, social media/website, Google, Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches, brand planning, and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences, aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication, data storytelling, and change leadership.

• Demonstrated impact of analytics on commercial strategy, decision making, performance, and ROI.

• Proven ability to lead, coach, and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a Build Engineer who possesses a passion for automating processes and supporting infrastructure and tools that support the deployment of client-facing software and services. 

This is a full-time, in-office position based out of Rockstar’s game development studio in Andover, Massachusetts. 

WHAT WE DO

• The Rockstar Games Online Services Team is a passionate development group, focused on growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver world-class player experiences. 
• We design and maintain CI/CD pipelines enabling fast, safe, and repeatable software delivery across all environments. 
• Collaborate with development, operations, security and QA teams to support the development and delivery of robust, high-quality software. 

RESPONSIBILITIES

• Continuous integration and deployment of internal tools and externally facing applications to multiple environments. 
• Management and documentation of deployment processes and automation. 
• Environment management to ensure all needs are covered for testing and development. 
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• 5+ years of configuration management and engineering for web applications, ideally supporting an Agile development process.
• Experience with automated build tools such as TeamCity, Jenkins, or equivalent.
• Experience defining, implementing, or improving continuous integration and deployment processes.
• Programming experience with an OOP language such as C# or Java.
• Automation skills utilizing a scripting language such as PowerShell, Bash, Python, or similar.
• Knowledge of distributed systems architecture and infrastructure.  
• Adept at managing software release and deployment.
• Proficient in supporting multi-platform application development shops.
• Experience with containerization technology (preferably Docker).
• Experience with source control such as GitHub or Perforce.
• Experience with bug-tracking software.

PLUSES

Please note that these are desirable skills and are not required to apply for the position. 

• Experience with branch and merge strategies. 
• Experience with frontend technologies such as React, NextJs, Webpack or similar. 
• Knowledge of SQL. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. 

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking an experienced Senior Lead, Enterprise Master Data who will play a pivotal role in defining and driving the enterprise master data governance strategy across material, vendor, and customer domains. This role will own the vision, standards, and execution roadmap for master data to enable scalable operations across Supply Chain, Manufacturing, Finance, and Commercial functions. As a key partner to business and technical leadership, you will ensure master data is accurate, compliant, and aligned to business priorities, while driving cross-functional alignment, system integration, and continuous improvement in a GxP-regulated environment.

This is an incredible opportunity for someone who is passionate about enterprise master data governance and strategy, and enjoys working in a dynamic, fast-paced company. This role will report to the Sr Manager, Business Process and will be an on-site, San Diego based role.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Define and evolve the master data governance strategy and multi-year roadmap across material, vendor, and customer domains
• Establish and govern customer master data aligned to order-to-cash processes (customer onboarding, pricing, billing, invoicing, revenue recognition), including ownership models and decision rights with Commercial and Finance
• Establish and enforce data standards, policies, and decision frameworks to ensure consistency and scalability across PLM, ERP, CRM, and downstream systems
• Serve as the authority for material, vendor, and customer master data, driving cross-functional alignment and leading governance forums to resolve ownership and prioritization decisions
• Drive a single source of truth strategy across systems and business processes
• Own and optimize master data lifecycle and data quality (creation through archival, KPIs, and enterprise-wide remediation)
• Ensure compliance with GDP, SOPs, and ISO standards (ISO 27001, 9001, 13485), supporting audit readiness and regulatory requirements
• Standardize customer master attributes (sales channel, payment terms, VAT/EORI, Incoterms, hierarchies, and account structures) to enable accurate order processing, invoicing, and reporting
• Partner with business and IT leaders to support system implementations, integrations, and transformations, ensuring master data requirements are defined and met
• Drive master data readiness to enable product launches and business scale, while advising leadership on data risks, trade-offs, and investments

Education and Experience:

• Bachelor’s degree in Business, Supply Chain, Operations, or related field with 8+ years of experience in Master Data Management, Data Governance, or Business Systems (biotech, pharma, or medical device experience preferred)
• Strong working knowledge in master data domains and data architecture (material, vendor, customer master; strong understanding of interactions with transactional data across order-to-cash, procure-to-pay, and manufacturing processes)
• Experience designing and operating governance and change management processes (data governance frameworks, controlled data changes, impact assessment, change control in regulated/GxP environments)
• Strong systems and data proficiency (ERP, CRM, PLM integrations; SQL, Snowflake, or similar querying tools; Excel and BI/reporting tools such as Tableau or Power BI)
• Proven ability to lead through influence (cross-functional alignment across Supply Chain, Manufacturing, Finance, Commercial, and IT; ability to translate between technical and business stakeholders)
• Strong analytical and execution skills in a fast-paced environment (root cause analysis, process improvement, high attention to detail)

Physical Requirements:

• Ability to lift up to 20 pounds

Location:

• San Diego – on-site

Travel: 

• Up to 5%

Job Type:

• Full-time, Exempt

Base Compensation Pay Range:

• $119,000 - $156,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

About the role:

8am is in search of a Business Operations Intern for our 2026 Summer Internship Program.  With a focus on innovation, collaboration, and operational excellence, our Business Operations team plays a critical role in driving efficiency, enabling data-driven decisions, and scaling company-wide impact. We're looking for a highly motivated and analytical Business Operations Intern to join our team and contribute to high-priority projects across departments. As a Business Operations Intern, you will work on initiatives that directly influence the performance and growth of the company. You’ll collaborate across functions—such as Finance, Sales, Marketing, Customer Operations and Product—to support strategic planning, reporting, and process improvement efforts.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you'll do:

• Assist in analyzing business performance metrics, identifying trends, and delivering actionable insights to stakeholders.
• Support cross-functional projects, such as process optimization, forecasting, or systems integration.
• Help build dashboards, reports, and models in Excel/Google Sheets or BI tools (e.g., Looker, Tableau).
• Conduct market research and competitor benchmarking to inform strategic initiatives.
• Participate in team meetings, brainstorms, and operational planning discussions.
• Present findings and recommendations to team leads and leadership.

About you:

• Currently pursuing a Bachelor’s or Master’s degree in Business, Economics, Finance, Engineering, or a related field.
• Strong analytical skills with proficiency in Excel/Google Sheets; experience with SQL or BI tools is a plus.
• Clear and confident communicator—able to summarize complex data for non-technical stakeholders.
• Highly organized and detail-oriented with the ability to manage multiple priorities.
• Eager to learn, proactive, and excited to solve real business problems.
• Passionate about technology, strategy, and operational excellence.
  

Additional Information:
The base pay range for this position is $20/hour. The salary range for performing this role outside of the US / Austin / California may differ.  8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education.

Why 8am: 

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. 

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up. 

About SHEIN 

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. 

Position Summary 

We’re seeking a full-time Technical Director for Data Engineering and Intelligence (Official Title: Director I, Data Engineering and Intelligence) for our San Diego-based corporate office, who will lead and oversee our US data engineering, intelligence, and infrastructure teams. This is a technical leadership role where you will drive innovation, mentor engineers, supervise operations, and shape the future of SHEIN’s data ecosystem. Reporting directly to the CTO, you will shape the company’s data technology strategy, architecture, and operations at scale.

Job Responsibilities 

Technical Leadership & Innovation

• A strong ability to leverage AI to drive large-scale automation and lead AI-driven transformation across data engineering and intelligence practices, with hands-on familiarity with modern AI-native development tools (e.g., Claude Code).

• Prior experience as a data or technology leader (e.g., tech lead or architect) is required. We are looking for someone who not only has deep knowledge of modern data infrastructure, but also brings strong perspectives and ideas—someone who can provide guidance, influence technical direction, and serve as a thought leader to help evolve and strengthen our ecosystem.

People Management

• The role is expected to balance approximately 50% leadership and team management with 50% focus on driving technology advancement and providing technical thought leadership.

• You will be expected to lead a team of 10–20 engineers, overseeing recruiting, career development, performance management, and team structure for the engineering organization.

Strategic Collaboration 

• Partner closely with the CTO to define and execute long-term data technology initiatives, including infrastructure modernization, AI transformation, and operational excellence.

Global Operations & Cross-Regional Collaboration

• Lead and optimize U.S.-based data operations while working closely with teams across APAC and global headquarters to align workflows and strengthen global data capabilities. The role requires strong cross-cultural leadership and organizational influence—someone who can build trust across regions, navigate complex organizational structures, and effectively collaborate across cultural and functional boundaries to drive alignment and progress.

Data Infrastructure & Best Practices

• Architect, build, and refine large-scale data pipelines and cloud-based infrastructure solutions, ensuring they meet best practices and regulatory requirements.

 Job Requirements 

• Master’s degree in Computer Science or a related field.
• 5+ years of industry experience in data engineering, data infrastructure, or software development (8+ years preferred). 
• 2+ years of engineering management experience (3+ years preferred), with a demonstrated ability to lead, mentor, and grow engineering teams.
• Deep expertise in modern cloud platforms and large-scale data infrastructure, including technologies within the MapReduce ecosystem and distributed data processing frameworks
• Hands-on familiarity with modern AI technologies and AI-native development tools (e.g., Claude Code, MCP, and related tooling).
• Proven ability to operate and improve large-scale technical systems, including diagnosing complex infrastructure and data quality issues and implementing scalable solutions.
• Strong computer science fundamentals, particularly in Linux systems, networking, and SQL.
• Proficiency in scripting and automation, especially using Python and Bash (these skills will be assessed during the interview process).
• Experience working with containerized and distributed systems such as Kubernetes and Docker, as well as designing high-availability architectures.
• At least 3 years of experience collaborating with APAC-based teams or other international engineering organizations.

Nice to Have

• Experience with Azure.  
• Experience managing people leaders 
• Knowledge of data streaming technologies (e.g., Flink, Hive).  
• Prior experience in the eCommerce space. 
• Bilingual in Mandarin. 

Benefits and Perks 

• Bonus and RSU eligible
• Healthcare (medical, dental, vision, prescription drugs) 
• Health Savings Account with Employer Funding 
• Flexible Spending Accounts (Healthcare and Dependent care) 
• Company-Paid Basic Life/AD&D insurance 
• Company-Paid Short-Term and Long-Term Disability 
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) 
• Employee Assistance Program 
• Business Travel Accident Insurance 
• 401(k) Savings Plan with discretionary company match and access to a financial advisor  
• Vacation, paid holidays, floating holiday and sick days   
• Employee discounts 
• Free weekly catered lunch 
• Dog-friendly office (available at select locations) 
• Free gym access (available at select locations) 
• Free swag giveaways 
• Annual Holiday Party 
• Invitations to pop-ups and other company events 
• Complimentary daily office snacks and beverages

#LI-YC1 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar San Diego is on the lookout for a Senior Tools Programmers who possess a passion for Tools development and improving workflows.

This is a full-time, in-office position based out of Rockstar’s new state-of-the-art game development studio in Carlsbad, CA. 

WHAT WE DO

• We build and maintain software tools that are used by all game development disciplines to support the creation of all Rockstar Games projects.
• These software tools range from digital content exporters, a data processing asset pipeline to game, CI/CD automation systems and UI editors.

RESPONSIBILITIES

• Design and build high performance and easy to use functionality in our frontend world editors and their corresponding backend APIs.
• Collaborate and support artists, programmers and designers with how to best use our tooling and to design and develop new applications, technology and workflows to meet their needs.
• Work with other experienced team members to research and define software architectural patterns and frameworks to use for building our internal tooling.
• Collaborate closely with your Lead and team to support delivering internal tool features and fixes including technical discussion, following processes, and reviewing code.
• Maintain the team’s existing codebase and deliver high-quality, time-effective solutions whilst being practical for long-term support.

REQUIREMENTS

• Experience of system or application ownership; inclusive of requirements gathering, system design, and delivering significant contributions to code.
• Strong C#/.NET skills.
• Strong problem solving skills.
• Demonstrated debugging skills.
• Excellent communication and teamwork skills.
• Experience working with WPF, XAML and the MVVM pattern.
• Ability to work within a schedule and deliver effectively to deadlines

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience working with SQL/NoSQL databases.
• Familiarity with one or more RPC frameworks such as WCF or gRPC.
• Familiarity with one or more ORM frameworks such as NHibernate or Entity Framework.
• Experience working with Docker.
• Experience with automation and CI/CD systems.
• Games industry experience working on AAA titles.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1