ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

OUR VALUES

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

ABOUT THE JOB

As a Software Engineering Manager, you will be a player-coach leading a high-caliber engineering team building advanced platforms. Depending on your area of ownership, you may lead one or more teams across domains including Control Plane (edge/cloud compute), Dev/Sec Ops, Data Platform & Governance, High Scale Event Processing (hundreds of billions of events per day), Mobile Platforms, SRE & Operations, or Radar Platform (our core web/cloud customer experience). You will be technically hands-on in delivery while setting strategic direction, growing engineers, and collaborating cross-functionally with stakeholders and partner teams.

The best engineering managers here are strong engineers first. You'll be expected to contribute meaningfully to design, review code, and engage deeply with technical problems, not just manage the process around them. We move fast, and you've done it before. You know how to maintain a high quality bar without sacrificing velocity, and you bring the judgment to know when to push and when to slow down just enough to get it right.

Responsibilities:

• Lead, mentor, and grow a team of talented engineers; own performance management, career development, and a strong team culture.
• Set technical direction, support architecture decisions, and champion engineering best practices across your team and peers.
• Contribute directly to solution design and technical reviews; maintain a strong, credible technical presence.
• Manage agile processes, execution priorities, and on-time delivery of high-quality solutions.
• Collaborate with Engineering, Product, and UX stakeholders to define project plans and ensure requirements are understood, met, and well-documented.
• Identify, communicate, and drive resolution for technical and organizational risks.
• Foster a culture of security, quality, operational accountability, and continuous improvement.
• Support hiring and help grow the broader engineering organization.

ABOUT YOU

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of software engineering experience, including at least 2 years managing engineering teams of 5 or more direct reports.
• Proven ability to remain technically hands-on: contributing to design, architecture, and code review as a practicing engineer, not just an overseer.
• Demonstrated experience building, deploying, and operating complex distributed systems.
• Proficiency in at least one core language: Java, Python, C++, or Go.
• Solid foundation in systems or cloud architecture, DevOps/SecOps practices, automation, and CI/CD pipelines.
• Excellent communication, organizational, and people leadership skills.
• Commitment to engineering best practices: code quality, testing, and operational stability.
• Demonstrated ability to move fast and deliver in a startup or high-growth environment without compromising quality.

Preferred:

• Prior experience leading teams in one or more domains: Control Plane, Dev/Sec Ops, Data Platform, High Scale Event Processing, Mobile Platforms, SRE, or Radar Platform.
• Experience guiding teams through growth, change, and cross-functional collaboration.
• Familiarity with cloud platforms (AWS, GCP, Azure), container orchestration, or real-time data processing.
• Passion for mentoring, technical empowerment, and building inclusive engineering culture.

WHAT YOU'LL DO

In your first 30 days, you will:

• Meet every direct report 1:1 and begin building trust and rapport.
• Shadow team rituals: standups, planning, retros, design reviews.
• Map the systems your team owns: architecture, dependencies, operational health.
• Meet key cross-functional partners: product, design, peer engineering teams.
• Identify any immediate fires or risks that need attention before deeper learning is complete.

In your first 60 days, you will:

• Establish a consistent 1:1 cadence and begin individual development conversations.
• Actively participate in design and architecture discussions; contribute to code and technical reviews.
• Clarify team goals, priorities, and near-term delivery commitments.
• Identify process or quality gaps and begin forming a point of view on how to address them.
• Deliver or unblock at least one meaningful piece of work alongside your team.

In your first 90 days, you will:

• Present an initial team roadmap or priority framework to your manager and stakeholders.
• Have a clear development plan in place for each direct report.
• Be actively driving execution: unblocking the team, removing friction, and holding a high bar.
• Own at least one cross-functional initiative or decision end-to-end.
• Have a concrete plan to improve one dimension of team health: quality, velocity, culture, or process.

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $250,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Sr. Director Data Platform Engineering & Operations

San Diego, CA

The Sr. Director Data Platform Engineering & Operations is a critical leadership role at SIE, responsible for driving innovation and scalability across the company’s data and AI platform ecosystem. This role oversees platforms including Data Infrastructure (Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, and Governance & Data Observability tools.

In this role, you will ensure SIE’s platforms process massive volumes of data, delivering insights that enhance Player, Creator, Publisher, and Enterprise experiences. By enabling data-driven decisions at scale, you will drive the future of personalized gaming, efficient operations, and enterprise productivity through advanced AI and machine learning technologies.

As a strategic leader, you will define and execute the vision for SIE’s data and AI platform ecosystem, ensuring scalable solutions that support key business objectives across gaming, content creation, and enterprise operations. Reporting to the VP of Data & AI, you will lead global teams of engineers and experts to build platforms that democratize data and transform decision-making across the company.  Priority consideration will be given to candidates with proven experience in a previous or current Sr. Director level role. 

This highly cross-functional role works closely with senior leadership in engineering, product, and business to align the platform ecosystem with the organization’s strategic goals.

Key Responsibilities:

Strategic Leadership:

• Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.

Platform Development & Operations:

• Provide thought leadership in the design, architecture, and execution of the platform ecosystem, ensuring innovation and seamless integration with SIE’s global gaming services and enterprise operations.
• Ensure platforms are optimized for performance, scalability, and reliability, processing billions of data points daily across Player, Creator, Publisher, and Enterprise activities.
• Champion operational excellence by driving continuous improvements in platform cost efficiency, performance, and security to support SIE’s global user base.

Cross-functional Collaboration:

• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Work with teams to ensure data platforms improve engagement, content creation, monetization, and efficiency.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.

Innovation & Efficiency:

• Lead efforts to optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience:

Technical Expertise:

• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Proven track record of architecting platforms capable of processing petabytes of data and supporting the real-time ingestion and processing of billions of data points daily across gaming and enterprise domains.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Extensive experience with Kafka for data streaming and real-time data ingestion.
• Strong hands-on knowledge of Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Expertise with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Knowledge and experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.

Leadership & Strategic Skills:

• Proven leadership (in a prior Sr. Director level role strongly preferred) building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Strong strategic mindset, translating business objectives into scalable technical solutions that deliver value across the organization.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.

#LI-GD1

Do you want to help bring PlayStation technology to a worldwide audience? Are you passionate about securing infrastructure that constantly pushes the boundary of the gaming industry? Are you ready to work with innovative technology, forward-thinking engineers, and a passionate security team? If so, join us!

The role is a senior-level application security position combining strong technical expertise with leadership, initiative, and collaboration. You will provide strategic mentorship and hands-on support in designing, implementing, and testing secure solutions that strengthen PlayStation products and services.

As a technical leader within Product Security, you’ll guide practices and influence multiple teams to embed security throughout the software development lifecycle.

Key Responsibilities

• Lead security initiatives across the SDLC and improve development practices through scalable automation.

• Conduct and guide threat modeling and security requirements early in design phases.

• Partner with developers, architects, and product managers to align business goals with security needs.

• Lead security architecture and code reviews for distributed systems.

• Perform hands-on testing to identify risks and drive remediation with vulnerability and incident response teams.

• Advance the Product Security strategy through multi-functional initiatives and cultural influence.

• Balance business and security risks through technically grounded, pragmatic recommendations.

• Translate lessons learned into reusable organizational assets that enhance overall security posture.

• Mentor engineers and practitioners, promoting secure-by-default thinking and shared accountability.

• Demonstrate proactive leadership, coordinating teams to deliver measurable security and business impact.

Qualifications

• 7+ years in information security and 3+ years in software development.

• Bachelor’s degree or equivalent in Computer Science, Information Security, or related field.

• Effective communication and leadership abilities; capable of influencing technical and non-technical collaborators including management.

• Dedicated and proactive, finding opportunities and leading initiatives independently.

• Deep understanding of enterprise and cloud-native architectures and their secure design.

• Expertise in network and web protocols (TCP/IP, TLS, HTTPS, OAuth 2.0, OpenID Connect) and common attack vectors.

• Proven expertise in guiding security development and code evaluations and providing actionable, risk-based recommendations.

• Skilled in multiple programming languages (e.g., Java, C/C++, JavaScript, Python) and mitigating vulnerabilities such as OWASP Top 10.

• Experience integrating SAST, DAST, and dependency scanning into CI/CD pipelines.

• Familiar with Agile, DevOps, and modern delivery practices.

• Hands-on experience with cloud technologies (AWS, Azure, GCP, Kubernetes, service mesh, CDN) including secure configuration and identity management.

Desired Experience

• Strong analytical and problem-solving skills with an attacker perspective — able to anticipate and simulate real-world attacks.

• Experience in penetration testing, automated testing, or testing frameworks (JUnit, pytest, REST Assured, Playwright).

• Security certifications preferred (GIAC, OSCP, CEH, CISSP, CCSP, or equivalent).

Business Value Consulting (BVC) is a critical, client-facing role where the consultant will work closely with the MongoDB Sales team, playing a key role in driving the business forward. In a pre-sales perspective, BVCs engage with clients to capture and communicate the potential business value that our solutions provide. For post-Sales, BVCs validate the value, identify optimization opportunities and identify new growth opportunities. You will work across all industries, evaluating the business benefits and financial value to companies primarily in our Enterprise market.

*This role will be focus on North America, with flexibility for the candidates. Significant remote work allows us to support multiple Sales regions across the region. 

Responsibilities

• Support the sales organization, to impact both tactical and strategic opportunity success of our field sales force
• Develop Business Value Consulting collateral for internal and external use: when new MongoDB products are released, and when a gap or need of the practice is identified
• Serve as a mentor to sellers who may be unfamiliar with this role, and further improve the value selling capabilities of the rest
• Engage with customers using a value-based selling approach to build a compelling narrative that covers the current state, the desired future state, the value in closing the gap, and a delivery plan to ensure their success
• Use business, technical, and financial analyses to understand the baseline and future state capabilities of the customer
• Create and present the business case and the forecasted business impact the customer can achieve using MongoDB solutions
• Translate technical concepts and recommendations into business benefits for management and executives
• Travel is required but varies throughout the year

Requirements

• B.A. / B.S. from an accredited college; preference for Business Management, Economics, Finance or related degree
• 5+ years of proven experience as a Business/Technology Strategy Consultant with some Business Case experience
• 1-3+ years of experience working for a vendor in business value consulting role.
• Enterprise business and financial modeling experience, familiarity with key financial metrics: ROI, TCO, NPV, IRR
• Polished presentation and interpersonal skills
• Inquisitive personality to facilitate interview sessions with client roles, both business and technical stakeholders
• Experience addressing executive and senior level stakeholders
• Strong technical understanding of enterprise infrastructure, technology stack, software development methodologies (SDLC, Agile, DevOps), RDBMS and/or NoSQL software

An Ideal Candidate

• Audible-ready, ability to adapt to customer situations 
• Enjoys working in a fast-paced sales environment
• Experience working for a software vendor

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.

Req ID: 1273414990

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

POSITION OVERVIEW:

As the Sr. Director/Vice President, Artificial Intelligence, you will lead the strategic development and enterprise-wide adoption of AI capabilities that support organizational transformation. Your role involves defining the AI vision, building a scalable roadmap, and driving execution across multiple business units. You will partner with Technology, Operations, Product, and executive leadership to identify high-value use cases, develop AI solutions, and integrate them into core business processes to deliver measurable results. This position requires a high level of autonomy, technical expertise, and strategic leadership, including assessing business needs, ensuring data readiness, designing and deploying models, overseeing MLOps practices, and implementing responsible AI principles. Your experience in AI, machine learning, data strategy, communication, stakeholder alignment, and solution delivery will be essential in enabling the organization’s transformation goals.

JOB FUNCTIONS:

(This list is not exhaustive and may be supplemented or changed as necessary.)

• Lead the strategic planning, development, and execution of the company’s AI roadmap and long-term innovation strategy.
• Identify, evaluate, and prioritize AI and machine learning opportunities that improve operations, automation, and business value.
• Apply structured methodologies to assess use case feasibility, technical readiness, adoption requirements, and expected ROI.
• Partner with Data Engineering and Technology teams to build and deploy scalable AI models, generative AI capabilities, and decision intelligence tools.
• Oversee all stages of the AI development lifecycle, including model design, testing, deployment, monitoring, retraining, and performance optimization.
• Develop and manage responsible AI frameworks that address transparency, risk, ethics, compliance, and governance.
• Conduct impact analyses and assess organizational readiness to adopt AI-driven processes and technologies.
• Create and deliver communication strategies to support AI adoption for leaders, teams, and stakeholders.
• Collaborate with business units to map workflows, redesign processes, and integrate AI-driven solutions into operations.
• Lead the design and implementation of training programs that support end-user adoption of AI tools.
• Build, develop, and mentor a high-performing AI organization across data science, machine learning, and applied AI disciplines.
• Partner with external technology providers, vendors, academic institutions, and research organizations to evaluate emerging AI technologies.
• Create metrics and dashboards to measure activation, performance, and business impact of AI solutions.
• Lead continuous improvement efforts through data analysis, root cause assessment, and iterative solution updates.
• Communicate complex technical concepts and model insights to executive leadership in clear, accessible language.
• Manage AI program budgets, resources, vendor contracts, and reporting requirements.

QUALIFICATIONS AND REQUIREMENTS:

Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required.
  Advanced degree preferred.

Technical Experience:

• 12 to 15 or more years of experience in AI, machine learning, data science, or advanced analytics.
• Demonstrated experience building and deploying machine learning models and generative AI systems in production environments.
• Deep understanding of modern AI techniques including large language models, natural language processing, deep learning, predictive modeling, and reinforcement learning.
• Experience implementing MLOps pipelines, model governance, and scalable AI systems in cloud environments such as Azure, AWS, or Google Cloud.
• Experience leading organization-wide AI or data transformation initiatives.
• Experience managing cross-functional teams and external partners or vendors.

Knowledge, Skills, and Abilities:

• Ability to define AI strategy, scope work, estimate effort, and drive execution.
• Ability to explain technical concepts to non-technical audiences and communicate with executives.
• Strong knowledge of AI ethics, responsible AI practices, and regulatory considerations.
• Ability to lead teams, influence stakeholders, and guide cross-functional efforts toward a shared vision.
• Strong analytical and problem-solving skills with the ability to interpret complex data and model results.
• Ability to manage multiple priorities in dynamic and fast-paced environments.
• Forward-thinking mindset with a focus on innovation and continuous learning.
• Strong presentation skills and experience delivering training or communication materials.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.

ESSENTIAL FUNCTIONS:

Physical Demands:

The physical demands described here are representative of the requirements 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.

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment.

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere”. However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

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

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

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

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:

The Senior Software Development Engineer in Test (Sr. SDET) is a software engineer responsible for designing and implementing automated validation systems that ensure the reliability and quality of software applications and services.

Working closely with product developers, platform engineers, and quality teams, the Senior SDET builds automation frameworks, validation tools, and testing strategies that support reliable releases across web applications, cloud services, mobile platforms, and supporting data systems.

Unlike traditional QA roles, the Senior SDET contributes code alongside development teams and plays a key role in improving testing practices, automation coverage, and CI/CD workflows. This role also provides technical guidance to other engineers and helps drive improvements in quality engineering practices across the team.

Essential Job Functions:

Automation Development & Test Engineering

• Design and implement automated testing solutions for web applications, APIs, backend services, and supporting systems
• Develop and maintain test automation frameworks and validation tools using Python in Linux-based environments
• Create automated tests for functional, integration, and regression validation of software systems
• Define and implement testing strategies for features and services within a product area
• Contribute to the improvement of automation frameworks, testing infrastructure, and engineering tooling

Simulation-Based Validation

• Develop complex simulation scenarios that replicate real-world environments and edge cases to support system validation and regression testing
• Collaborate with engineering teams to integrate simulation-based testing using tools such as NVIDIA Isaac Sim into automated testing workflows

CI/CD & Engineering Workflow Integration

• Integrate automated validation into CI/CD pipelines to support reliable and efficient release processes
• Collaborate with product developers to ensure systems are testable, observable, and reliable
• Participate in architecture discussions and design reviews to ensure new systems can be effectively validated

Quality Insights & Reporting

• Investigate complex test failures, analyze system behavior, and support root cause analysis with engineering teams
• Develop and maintain quality dashboards and reporting tools that provide insight into product health and system reliability
• Help ensure traceability between requirements, implementation, and validation activities

Engineering Documentation & Collaboration

• Collaborate with cross-functional teams to ensure clear requirements, acceptance criteria, and validation strategies
• Document validation approaches, testing strategies, and key findings to support engineering teams and product development

AI-Assisted Development & Testing

• Apply Generative AI (GenAI) tools to improve software development workflows, test generation, debugging, and engineering productivity
• Contribute to efforts that incorporate GenAI capabilities into development or product features where applicable

Technical Leadership & Mentorship

• Mentor SDET I and SDET II engineers on automation practices, debugging, and software engineering techniques
• Provide technical guidance to team members and help promote modern quality engineering practices across the team

Education and/or Work Experience Requirements: 

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent practical experience 
• 5+ years of professional experience developing software, test automation, or validation tooling for production software systems
• Demonstrated ability to design and implement automated testing solutions using Python within Linux-based development environments
• Hands-on experience developing or improving test automation frameworks and validation tooling used to validate application or service behavior
• Strong understanding of software testing methodologies, including designing and implementing unit, integration, and system-level testing strategies
• Practical experience validating web applications, APIs, and distributed services, including identifying integration issues and supporting root cause analysis
• Demonstrated experience integrating automated validation into CI/CD pipelines to support continuous delivery and reliable release workflows
• Proficiency using Git-based version control workflows and collaborating through issue tracking systems such as Jira or similar platforms
• Experience working across the full software development lifecycle within Agile development environments, collaborating closely with developers and product teams
• Strong debugging and analytical skills, including the ability to investigate complex failures and identify root causes in distributed systems
• Excellent communication, collaboration, and technical documentation skills

Preferred Experience:

• Hands-on experience developing automated tests using modern web automation frameworks such as Playwright, Cypress, or Selenium
• Practical experience validating cloud-hosted services or applications deployed on AWS, GCP, or Azure
• Working knowledge of containerized development environments, including running applications or automated tests using Docker
• Experience validating data pipelines or data platforms, including validating structured data used by services or analytics workflows
• Experience using observability or monitoring platforms (e.g., logs, metrics, tracing) to troubleshoot failures and analyze system behavior
• Demonstrated use of Generative AI tools to improve development or testing workflows, such as generating test cases, debugging assistance, or documentation
• Experience developing or executing simulation-based validation scenarios in virtual environments to support system-level testing

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 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 $111,449 to $136,215.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.

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

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience.
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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 seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

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

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

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

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

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-BB1

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 seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

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

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

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

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

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-BB1

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 seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

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

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

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-BB1

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 

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 are seeking a Staff Database Engineer (Official Title: Staff Database Engineer I) with experience managing large-scale, mission-critical environments that require zero downtime. As part of the SHEIN DBRE team, you will play a key role in ensuring the reliability, performance, and security of our database infrastructure through automation and scalable solutions. Our team integrates DBA, SRE, and DBRE expertise to deliver highly available data services. We design resilient architectures to meet evolving business and data processing demands, prioritizing efficiency and system reliability. While each team member may have their preferred technologies, a deep understanding of database fundamentals—and how different database systems interact with applications and operating systems—is essential for success. This role requires collaboration across multiple customer environments and global teams. 

This role requires independent execution and the ability to manage critical production systems without direct supervision. Commitment to incident response and adherence to on-call responsibilities is essential. 

Job Responsibilities

• Maintain scalable, reliable, and robust production database environments across various database systems, including MySQL, ClickHouse, and MongoDB.
• Continuously monitor database health, proactively diagnose issues, and implement resolutions as needed. 
• Optimize database performance through query tuning, index optimization, and performance diagnostics.
• Develop and maintain database tools and automation scripts to streamline operations and reduce manual toil.
• Collaborate with development teams and engineers to provide guidance on database design, best practices, and architectural decisions.
• Manage database upgrades, migrations, and schema changes while ensuring minimal disruption and improved performance.
• Triage and resolve database issues, driving incidents to resolution and implementing preventative measures.
• Conduct capacity planning and benchmarking across multiple database technologies.
• Ensure data integrity, high availability, security, and privacy compliance across all database environments.
• Provide 24/7 escalated on-call support as part of a pager rotation.

Job Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent experience.
• 4+ years of hands-on MySQL database management experience.
• 4+ years of experience with Azure, AWS, or any other major cloud provider.
• Strong understanding of distributed and replicated database architectures.
• Proven troubleshooting and problem-solving skills, with a strong sense of ownership and accountability.
• Experience in monitoring and analyzing system performance, identifying bottlenecks, and improving database reliability and scalability.
• Proficiency in at least one scripting language (e.g., Golang, Shell); familiarity with Golang development is a plus.
• Passion for solving scalability and performance challenges in large-scale environments.
• Ability to remain calm and focused under pressure, especially during critical incidents.
• Strong expertise in Linux operating systems, storage, networking, and related system principles.

Nice to Have

• Bilingual fluency in Mandarin and English is highly preferred.
• 5+ years of experience managing MySQL at scale in high-performance environments.
• Experience with ClickHouse, MongoDB, or other distributed database systems.
• Deep knowledge of database internals, including the ability to independently deploy and optimize open-source tools like Percona or MySQL source code.
• Hands-on experience with Golang development or proficiency in other programming languages for automation.
• Hands-on experience using multiple AI models (Claude Code, ChatGPT, Gemini) to solve real-world problems, including troubleshooting model limitations, comparing outputs, and applying prompt tuning strategies to improve result quality
• Experience building AI-driven operations tools or platforms from scratch, covering requirements, architecture design, and production deployment.
• Participated in team-wide AI tooling transformation initiatives; contributed to or established shared asset libraries covering Prompts, MCP integrations, and Skills.
• Familiar with AI application frameworks such as LangChain and LlamaIndex, with practical experience integrating them with relational or vector databases.
• Able to systematically structure and document database tuning knowledge into AI-consumable formats (knowledge bases, RAG corpora, Skill libraries), driving continuous improvement of team-wide tuning capabilities.

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-ED1

OPEN POSITION ANNOUNCEMENT

Information Systems Manager

Open until filled.

Posted 02/20/2026 San Diego County - hybrid work schedule set by San Diego Community Power

ABOUT THE ROLE: San Diego Community Power (SDCP) seeks a strategic and highly experienced Information Systems (IS) Manager to oversee the organization’s enterprise systems architecture, cybersecurity governance, cloud platforms, and data governance initiatives.

This role differs significantly from the IT Manager position, which is responsible for daily IT operations, network management, and end-user support. The IS Manager focuses on enterprise systems design, modernization strategies, and cross-organizational governance, ensuring that SDCP’s technology infrastructure supports long-term operational excellence, regulatory compliance, and data-driven decision-making.

Reporting to the Associate Director of IT & Data Analytics, the IS Manager serves as SDCP’s chief architect and governance leader for enterprise applications, cloud environments, data quality, and cybersecurity policy frameworks—all vital to the agency’s mission and sustainability objectives.

WHO IS COMMUNITY POWER?

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

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 now serve seven member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated communities of San Diego County. Community Power was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. We are the second largest CCA in California, serving nearly 1 million customers. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At Community Power, 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 RESPONSIBILITIES

A. Enterprise Systems Strategy & Architecture

• Architect, design, and maintain SDCP’s enterprise systems ecosystem, including Dynamics 365 CRM and ERP, Enterprise Data Platform (EDP), BI platforms, and other mission-critical applications.
• Develop and sustain the multi-year enterprise systems roadmap aligned with SDCP’s strategic goals.
• Establish enterprise architecture standards, integration frameworks, and interoperability requirements.
• Lead technical evaluations, RFPs, vendor demonstrations, and long-term application lifecycle planning.

B. Cybersecurity Leadership & Risk Governance

• Own SDCP’s cybersecurity governance program, including policies, standards, and risk management frameworks.
• Oversee cybersecurity audits, penetration tests, incident response planning, and tabletop exercises.
• Lead initiatives in identity governance, vulnerability management, and zero-trust architecture.
• Ensure compliance with regulatory and industry frameworks such as NIST, SOC2, ISO 27001, and state mandates.
• Demonstrate good leadership skills and an ability to inspire, mentor and lead a Team of IT and Cybersecurity professionals.

C. Data Governance, Stewardship & Information Quality

• Build and lead SDCP’s enterprise data governance program, including data classification, retention, and stewardship practices.
• Oversee data quality standards, metadata management, MDM (Master Data Management), and enterprise data pipelines.
• Collaborate with analytics teams to ensure data is secure, accurate, and properly governed.

D. Cloud Strategy & Platform Governance

• Own the architecture and governance of SDCP’s cloud platforms (Azure, AWS, GCP).
• Lead modernization initiatives, including cloud migration, re-platforming, and scalability improvements.
• Implement Financial Operations (FinOps) framework for cloud cost management and budgeting.
• Establish cloud security standards and ensure monitoring, resilience, and incident response readiness.
• Lead cloud storage optimization and cost savings measures.

E. Technology Planning & Executive Alignment

• Articulate strategic business needs into multi-year actionable technology plans and enterprise system initiatives.
• Present system architecture strategies, investment proposals, and risk briefings to executive leadership.
• Evaluate emerging enterprise technologies and develop adoption frameworks.

F. Vendor, Contract, and Partner Management

• Manage strategic enterprise vendors, including application providers, cloud partners, MSPs, and system integrators.
• Lead RFPs, contract negotiations and performance management to ensure SLA compliance.
• Oversee technical delivery and ensure adherence to architecture and security standards.

G. Program & Project Governance

• Lead enterprise program governance for complex system implementations and modernization projects.
• Oversee change management, UAT frameworks, system rollouts, and cross-departmental coordination.
• Ensure documentation, risk tracking, and project governance structures are consistently maintained.

H. Interdepartmental Collaboration & Enablement

• Serve as the primary systems liaison across departments.
• Translate departmental operational needs into system configurations, workflows, and integration solutions.
• Develop system-level training, adoption strategies, and change management processes.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES

• Deep expertise in enterprise architecture (TOGAF, Zachman, or similar).
• Strong proficiency in cybersecurity governance, IAM, risk frameworks, and compliance.
• Advanced experience with Microsoft Cloud (Azure, Entra, M365, Defender, Intune, Purview) and AWS.
• Extensive experience in system integrations, APIs, middleware, and automation platforms.
• Strong understanding of data governance, MDM practices, and data quality management.
• Exceptional ability to develop cross-departmental governance programs.
• Skilled communicator; capable of explaining technical topics to executive audiences.

PREFERRED:

• 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 effectively represent the organization in various professional settings, from local to national levels, such as conferences, workshops, and executive meetings.
• Relevant certifications (e.g., CISSP, CISM, CCSP, TOGAF, Azure Solutions Architect).

QUALIFICATIONS, EDUCATION AND EXPERIENCE

Any combination of education and experience that would provide the knowledge and abilities listed. 

Typically, a bachelor’s degree from an accredited college or university in Information Technology, Computer Science, Computer Engineering, or a related field.

Minimum of five (5) years of progressively responsible experience in:

• Enterprise business management
• Cybersecurity governance
• Cloud architecture
• Data governance & MDM
• Enterprise integration architecture

WORK ENVIRONMENT AND CONDITIONS

Prolonged periods of 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 Community Power we work in the communities we serve and in the office. Community Power works to ensure a safe and healthy workplace for employees and in our communities. Community Power requires employees to be fully vaccinated for COVID-19. Exemptions to the vaccine requirement will be considered for individuals with medical conditions that prevent them from being vaccinated and for individuals with sincerely held religious beliefs that prohibit them from being vaccinated, consistent with governing labor laws.

Community Power 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: $117,800 - $159,000; with exact compensation to be determined by Community Power, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: Community Power covers 100% of health benefits, including medical, vision, and dental insurance, for eligible FT employees and their dependents. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by Community Power.

Retirement: Community Power 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 Community Power as needed.