About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

** This position is not eligible for visa sponsorship. Candidates cannot require sponsorship now or in the future**

Position Summary 

The HR Systems Analyst, HRIS & Payroll, is a hybrid role responsible for supporting enterprise HR systems, providing functional payroll expertise, and delivering high-quality HR operational support across the employee lifecycle. This position combines HRIS configuration and reporting responsibilities with hands-on payroll support, data management, troubleshooting, and cross-functional guidance for employees and managers.   

This role partners closely across functions to ensure system accuracy, optimize processes, and maintain compliance with regulatory requirements. The ideal candidate is detail-oriented, technically strong, customer focused, and comfortable balancing recurring operational work with project-based systems enhancements. 

Essential Duties & Responsibilities 

HRIS Functional Support 

• Provide day-to-day support for HR systems, including SAP SuccessFactors, Dayforce, Greenhouse, Enboarder, CultureAmp and related tools.  

• Configure, maintain, test, and troubleshoot system functionality.  

• Support HR processes across the full employee lifecycle (hire, onboarding, transfers, promotions, separations).  

• Serve as a subject matter expert for system workflows, data structures, permissions, and reporting logic.  

• Maintain data accuracy, support corrections, and monitor interface health with IT. 

Payroll Processing & Support 

• Serve as a functional payroll SME supporting accurate and timely payroll processing.  

• Validate payroll inputs such as new hires, terminations, rate changes, bonuses, deductions, and corrections.  

• Partner to reconcile variances, resolve discrepancies, and ensure compliance with federal, state, and local wage/tax regulations.  

• Enter, audit, and maintain payroll-related data in applicable systems  

• Respond to payroll inquiries with accuracy, professionalism, and urgency.  

• Support payroll year-end activities, audits, payroll reporting, and employee file maintenance. 

System Enhancements & Projects 

• Participate in HRIS project work, enhancements, implementations, and quarterly SuccessFactors releases.  

• Translate business requirements into functional specifications; assist IT in review and testing.  

• Review new system features and support demonstrations and training for HR and business users.  

• Identify opportunities for automation, simplification, and improved user experience. 

Reporting, Data & Analytics 

• Build, maintain, and optimize HR and payroll reports.  

• Conduct audits to ensure data quality, compliance, and alignment across systems.  

• Provide insights and data analyses to HR, Finance, and leadership.  

• Support compliance audits, SOx activities, and data-related inquiries. 

Testing, Release Management & Documentation 

• Create functional test scripts, execute UAT, and document results.  

• Support testing cycles tied to enhancements, integrations, and cyclical HR events.  

• Maintain updated system documentation, job aids, and knowledge-base articles. 

User Support & HR Operations Support 

• Provide excellent customer service to employees and managers, ensuring timely and accurate resolution of inquiries.  

• Support onboarding, HR policy interpretation, immigration questions, and People Services operational programs.  

• Promote consistency in HR processes and reinforce compliance standards. 

Security, Compliance & Collaboration 

• Support maintenance of HR system security roles and participate in periodic access audits.  

• Ensure compliance with company policies, data privacy, payroll regulations, and HR governance.  

• Collaborate with People Partners and Centers of Excellence to ensure data integrity and process alignment. 

Continuous Improvement 

• Stay current on SuccessFactors releases, best practices, and payroll regulatory changes.  

• Recommend process improvements to enhance data quality, system efficiency, and user experience.  

• Assist with global HR initiatives, process standardization, and system maturity efforts. 

Required Qualifications 

• Bachelor’s degree in Human Resources, Business Administration or related field. 

• 2+ years supporting enterprise HRIS platforms  

• Hands-on experience in HRIS configuration, reporting, data management, and issue resolution.  

• Strong analytical, troubleshooting, and data validation skills.  

• Excellent communication skills with the ability to collaborate across functions. 

• Ability to manage multiple priorities with strong customer service focus.   

• Proficiency with Excel. 

Preferred Qualifications 

• Basic knowledge of payroll processing, wage/tax compliance, and payroll systems (Dayforce, ADP, Paychex, Insperity, etc.).  

• Experience in HR Operations, HR policy interpretation, and employee document management.  

• Experience creating dashboards using PowerBI or Tableau 

• Prior exposure to U.S. immigration processes. 

What The Role Is

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

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

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

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

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

What You'll Be Doing

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

What You'll Bring

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

What Would Be Nice

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

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

#LI-Hybrid

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Positions 

We’re seeking Sr. Project Schedulers at various levels for large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (both rail and bus), water, and airport projects delivered through both traditional and alternative methods. You’ll craft logic-driven CPM schedules, fold in procurement and third-party dependencies, and convert field data into clear progress updates and forecasts. By surfacing critical-path risks early, shaping recovery strategies, and keeping stakeholders aligned, you’ll help every project advance safely, efficiently, and on time.  

This post is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need. This post targets Phoenix, AZ.  

Responsibilities may include, but are not limited to, the following:  

• Build and maintain an integrated CPM schedule that could cover design through turnover, with logically linked activities, resource or cost loading, and clear coding for cost-control alignment. 
• Collect field progress data, update status weekly or monthly, and produce look-aheads, variance reports, and earned-value forecasts. 
• Run critical path and what-if analyses to test sequencing options, recovery plans, and alternative delivery scenarios. 
• Integrate third-party interfaces, permitting, utility relocations, and long-lead procurement items, so the plan reflects all external dependencies. 
• Generate concise narrative reports, Gantt charts, S-curves, and/or KPI dashboards for project managers, field teams, and executive stakeholders. 
• Perform schedule-risk assessments—identify drivers, quantify exposure with tools such as Monte Carlo simulations, recommend contingencies, and track mitigation actions. 
• Support change orders and claims by preparing Time Impact Analyses that tie delays to cost and contractual entitlement.  
• Enforce schedule governance standards, maintain data integrity in scheduling tools, and mentor junior schedulers to raise overall planning maturity. 

Attributes 

• Excellent written and verbal communication and interpersonal skills. 
• Excellent multi-tasking and organizational skills. 
• Collaborative mindset that fosters teamwork, trust, and positive relationships. 
• Natural curiosity, problem-solving abilities, and a passion for continuous improvement. 

Minimum Qualifications  

• Bachelor’s degree in engineering, construction management, or related field, or equivalent combination of education and experience. 
• 10+ years of hands-on experience with large (>$500M), complex, heavy-civil highways, roads, bridges, transit (rail or bus), airports, or water projects. 
• Experience with full CPM baseline schedule development, resource or cost loading, progress updating, and variance analysis. 
• Proven ability to interpret project scope, drawings, and constraints and translate them into logic-driven and sequenced, resource-aware schedules.  
• Proficiency with industry standard project and construction management software (e.g., Primavera P6, TILOS, MS Project, Bluebeam, RSMeans, etc.).   
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

Preferred Qualifications 

• Master’s degree in engineering or construction management. 
• Active professional certifications such as PSP (AACE), PMI-SP or PMP (PMI), and/or CCM (CMAA). 
• Experience delivering projects through both traditional and alternative methods (e.g., DB, CM/GC, P3, CMAR). 
• Experience preparing Time Impact Analyses, and quantifying schedule risk using Monte Carlo or similar methods.  
• Proficiency in schedule risk analysis using tools such as Primavera Risk, Deltek Acumen Fuse, or @Risk.  
• Proficiency with Power BI, Tableau, or similar platforms for building interactive dashboards and KPI visualizations. 

Compensation Details 

Expected Salary: $120k-$190k/year ($57-$91/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law. 

Just LOOK at the Benefits We Offer!  

• Unlimited flexible time off  
• Paid holidays  
• Paid parental leave  
• Health, dental, and vision insurance  
• Flexible spending accounts (healthcare and dependent or elder care)  
• Long-term disability insurance  
• Short-term disability insurance  
• Life insurance and accidental death and dismemberment 
• 401(k) plan with guaranteed employer contribution  
• Formal career planning and development program  
• $2,500 annually toward professional development  
• Wellness program with monthly wellness stipend  
• Company cell phone or cell phone plan reimbursement  
• Free personalized meal planning and nutrition support with a registered dietitian  
• Free personal financial planning services  
• Employee assistance program  
• Employee discounts  
• Employee referral bonus  

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.