Role Description As an Analytics Engineer for Network Intelligence on the Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve analytics that engineering, operations, and leadership teams rely on daily. You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical network intelligence across Fiber, Fixed Wireless, and Satellite domains. This role is not limited to cloud migration work; it also requires designing, building, and operating analytical datasets, transformations, and reporting assets directly on-prem where business and operational needs require it. Unlike a pure data engineer who focuses on pipeline infrastructure, or a data scientist focused on modeling, your specialty is making data reliable, understood, and usable by the widest possible audience: you own metric definitions, dashboard governance, and the translation of operational data needs into clean, documented analytical assets. - Define, document, and maintain canonical KPI and metric definitions for network health, incident volume, capacity utilization, and customer experience indicators in Unity Catalog. - Build and own the semantic layer (Databricks AI/BI datasets) underpinning self-serve analytics for network operations, engineering, and leadership stakeholders. - Design and build operational and executive dashboards in Databricks AI/BI covering real-time network health, incident trends, performance benchmarks, and customer impact metrics. - Develop automated alerting and correlation views that reduce noise for network operations teams and accelerate root cause identification. - Build curated Gold-tier analytical tables and transformation layers across both on-prem and cloud platforms using SQL and PySpark, applying business logic, aggregations, and dimensional modeling patterns. - Implement data quality checks and automated validation to ensure analytical outputs are accurate before reaching business consumers. - Partner with Data Engineers to surface upstream data quality issues and define requirements for Silver-to-Gold transformations. - Act as the subject matter expert for network and operations data consumers, supporting self-serve analytics adoption across engineering and ops teams. - Produce clear data dictionaries, lineage documentation, and onboarding guides for all owned analytical assets. - Support executive-level reporting with accurate, clearly structured KPI outputs tied to network quality and customer experience. Qualifications - 5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment. - Expert SQL skills: complex analytical queries, window functions, dimensional modeling, and metric grain definitions at scale. - Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery + Looker or dbt). - Strong understanding of data modeling concepts: star schema, slowly changing dimensions, and single-source-of-truth metric governance. - Demonstrated ability to translate ambiguous business questions into well-defined analytical datasets and dashboard specifications. - Proficiency in Python for lightweight transformations and pipeline scripting. - Excellent written and verbal communication skills; comfort presenting analytical findings to Director and VP-level audiences. Preferred Qualifications - Experience building and supporting analytics or transformation layers on-prem as well as in Databricks/cloud environments; not limited to migration initiatives. - Background in network operations, telecommunications, or infrastructure analytics. - Familiarity with Grafana, Datadog, or Prometheus as complementary network observability tools. - Experience designing role-based access controls and data governance frameworks in a cloud or on-prem data platform. - Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field. Requirements - As a condition of employment and in order to comply with industry-related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description We are seeking a Staff Engineer for our Energy Analytics Squad to build web API and data pipeline solutions integrated within the larger Arcadia Platform data ecosystem. The Energy Analytics group builds electricity cost modeling products and mathematical battery performance simulations that calculate the ROI for DER interventions like solar and storage, providing the economic insights necessary to show that clean energy technologies are the most cost-effective options for tackling the climate crisis. You will approach your work with a collaborative and exploratory mindset, attention to detail, and a proven ability to wrangle stakeholders across squads. Demonstrated experience executing on collaborative software engineering projects in an industry requiring deep domain knowledge. Requirements synthesis and clarity of communication is important: the ideal candidate will have demonstrated ownership of modules developed in collaboration with Subject Matter Experts. - Make meaningful contributions to the industry-leading electricity cost modeling RESTful API - Build out DBT data pipelines that simulate electricity costs nationwide - Translate product and SME requirements into engineering-ready designs, specifications, and implementation plans - Participate in peer technical design review sessions to ensure efficient and maintainable code - Improve squad and organization-level engineering processes and establish best practices - Work with fully remote teams Qualifications - Bachelor’s degree in Computer Science or related field required - 6+ years of software development experience at a SaaS or technology company - Experience building REST APIs - Experience with Python and enterprise Java (Spring, Spring Boot preferred) - Experience building SQL data pipelines (Snowflake + DBT preferred) - Deployed systems on AWS or similar - Strategic AI Expertise: Demonstrated experience of adoption and implementation of LLMs - Demonstrated ability to impart organizational-level impact - Experience with a Python data science ecosystem (Jupyter, Pandas, Streamlit, etc.) - Experience with NoSQL databases (Mongo preferred) Requirements - Experience designing, operating, and troubleshooting large web API systems at scale (your metrics should be measured with an M, G, or T) - Experience working in the energy or similar industry requiring deep domain knowledge - Experience working with Kubernetes and containerized platforms (Argo orchestration preferred) - Front-end experience in React Benefits - Target Annual Compensation Range for this role will be $165,000 to $295,000 - Competitive benefits component to the package

Role Description Sr. Analytics Developer will contribute to the design and maintenance of the overall Analytics system. You will formulate and define specifications for complex operating programming applications, to work as part of a team with influence across a larger organization while representing the Analytics Department. Construct and develop complex procedures to support Analytics application systems, relying on broad experience and judgment to plan and accomplish goals. Work varies with high complexity, requiring a high level of independent judgment within established guidelines. You will be working with end users and cross-sectional managers. This position mentors less experienced team members. Job Roles and Responsibilities - Research, design, develop and test applications that contribute to the Analytics system based on Team Foundation Server requirements that define rules for detection of waste, abuse and fraud on healthcare claims. - Research, design, develop and test solutions that contribute to the Payment Integrity Reporting and Analytics ecosystem. - Understand claims flow, savings identification, appeals processing and how fraud, waste and abuse is identified with claims data. - Work with the research team to create business and system requirements that identify fraud, waste and abuse in health care claims data. - Analyze system needs and design appropriate reporting solutions as necessary. - Maintain complex database software and systems. - Evaluate new and existing software to adapt it to new requirements and improve performance. - Perform Technical Review of requirements, analyze source data and provide gap analysis. - Coordinate cross-functional projects as assigned and interact with research and operations to achieve timely results. - Review and understand requirements documents. Discuss and clarify requirements as needed with health care researchers and analysts. - Debug, enhance and improve performance of Structured Query Language (SQL) stored procedures. - Provide technical leadership to the team and act as mentor to junior team members. - Collaborate, coordinate, and communicate across disciplines and departments. - Ensure compliance with HIPAA regulations and requirements. - Demonstrate Company's Core Competencies and values held within. Qualifications - Must have 4 to 5 years’ experience with the most recent release of Microsoft SQL Server (SSMS, SSIS); version 2019 or newer preferred. - Must have experience creating reports and predictive analytics, data analytics using data mining techniques. - Knowledge of health care claims analytics and health insurance industry preferred. - Knowledge of data mapping, extraction, data migration, decision support systems, data marts/data warehousing and relational and dimensional modeling is a plus. - Knowledge of business requirements gathering, architecting, designing and developing complex SQL Server based systems. - Experience with one or more Business Intelligence reporting tools such as Tableau, PowerBI, or SSRS is preferred. - Experience with process stabilization, performance analysis, code optimization and testing. - Experience with Microsoft Team Foundation Server preferred. - Knowledge of object-oriented programming concepts and design patterns is a plus. - Understanding of multi-tier distributed software architectures, concurrent programming concepts, and multi-threaded applications. - Knowledge of project management and execution of multiple projects. - Knowledge of large enterprise with a significantly distributed infrastructure. - Excellent verbal and written communication skills. - Planning, organizing, analytical, problem-solving and decision-making skills. - Ability to quickly attain and understand new processes with strict attention to detail. - Ability to meet strict deadlines, work on multiple tasks and work well under pressure. - Ability to analyze data and arrive at a logical conclusion. - Ability to assess ramifications of issues and prioritize tasks based on business impact. - Ability to effectively present information and respond to questions from groups of managers and clients. - Ability to evaluate production situations and current information to determine the appropriate course of action and execute decisions. - Ability to mentor less experienced team members. - Ability to use software, hardware and peripherals related to job responsibilities, including MS Office and software development applications. - Willingness to learn new programming languages and adopt new platforms. - Must have Bachelor's Degree in related fields. Requirements - The salary range for this position is $100K to $105K. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity. - This position is also eligible for health insurance, 401k and bonus opportunity. Benefits - Medical (PPO & HDHP), dental and vision coverage. - Pre-tax Savings Account (FSA & HSA). - Life & Disability Insurance. - Paid Parental Leave. - 401(k) company match. - Employee Stock Purchase Plan. - Generous Paid Time Off -- accrued based on years of service. - 10 paid company holidays. - Tuition reimbursement. - Employee Assistance Program. - Sick time benefits -- for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year. Application Deadline We will generally accept applications for at least 15 calendar days from the posting date or as long as the job remains posted. EEO Statement Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status.

Role Description Analytics Engineering plays a crucial role in building robust and reliable data pipelines and data models that enable data-driven decision-making, powering various analytics, AI, and machine learning initiatives within Coursera. In addition, Analytics Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. As a Staff Analytics Engineer, you will be architecting high quality and scalable data pipelines powering business critical applications, leading enterprise wide data modeling strategies and driving a culture of transparent, well-governed data systems. You will collaborate with both technical and cross-functional leaders to lead and set direction on how we craft and look at data, while driving industry accepted standards on data governance, discoverability, and accessibility. You will craft technical decisions and design trade-offs to ensure we can speedily deliver on ambitious, innovative goals while building the foundations for extension and scale in years to come. Responsibilities - Architect scalable data models and construct high quality ELT pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, and Sigma. - Design, build, and launch self-serve analytics products from data consumption to data discovery and enablement. - Be a technical leader for the team, inspiring others with your proficiency in technical and architectural designs for major team initiatives. - Be a data leader for the business, increasing data literacy and resolving data gaps. - Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. - Develop new tools and frameworks in collaboration with other engineers to enhance data access and understanding. Qualifications - 10+ years experience in data/analytics engineering with expertise in data architecture, pipelines, and reporting. - Expert experience with relational databases, DRY data modeling practices, and efficient SQL code generation. - Expert experience with some of: AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub; Databricks and dbt preferred. - Expert experience with crafting and driving self-service reporting solutions with hands-on experience in BI Tools; Looker or Sigma preferred. - Strong experience implementing Data Observability frameworks (e.g., Monte Carlo, Great Expectations) at an enterprise level. - Strong hands-on experience with AI tools such as Claude, Gemini, Cursor and its role in streamlining data processing and enabling data democratization. - Strong experience with data lake architecture and batch and streaming architectures. - Strong experience in driving industry standards in data governance and technical best practices. - Strong ability to communicate technical concepts clearly and concisely to leadership. - Proven relationships with business end users with clear understanding of how data is used to power business decisions. - Independence and passion for innovation and learning new technologies; seeks out and creates high-impact projects. Preferred Qualifications - Strong experience leading cross-functional RFCs (Request for Comments) and driving technical standards across multiple engineering pods or business disciplines. - Strong experience with data lake architecture and batch and streaming architectures. - Proven track record building feature stores or data pipelines specifically for LLM fine-tuning and RAG architectures. - Strong track record of leadership and mentorship in elevating data culture, preferably in a remote environment. Benefits - Competitive, zone-based pay aligned to your location, experience, and role level. - Comprehensive health and wellness benefits. - Bonus and RSU equity programs. - Global perks designed to help you grow and thrive. Compensation / Location - This role is only available for hire in [insert location]. - US Zone 1: $188,000 - $235,000 - US Zone 2: $182,000 - $228,000 - US Zone 3: $167,000 - $209,000 - US Zone 4: $156,000 - $195,000