Analytics Engineer Remote Jobs in South Carolina (US)
This page tracks remote analytics engineer openings that are location-eligible for South Carolina.
This page tracks remote analytics engineer openings that are location-eligible for South Carolina.
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$41 - $160,000
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429 Jobs
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Franciscan Health is a leading healthcare organization dedicated to providing exceptional patient care and promoting health and wellness in our community. Our mission is to ensure that every patient receives the highest quality of care through innovation, compassion, and excellence. With 12 ministries and access points across Indiana and Illinois, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers who provide compassionate, comprehensive care for our patients and the communities we serve.
Role Description The Enterprise Solutions Engineer III is responsible for designing and implementing enterprise-grade platform solutions that support strategic service management and business process capabilities across the organization. This role is a senior-level ServiceNow engineering position responsible for designing, developing, and governing scalable solutions across the platform in support of departments such as HR, Finance, IT, and Security. - Design and implement complex, cross-module solutions aligned to enterprise standards, including advanced integrations across ERP, identity, cloud, and third-party platforms. - Lead design sessions, conduct code and configuration reviews, and enforce development best practices to ensure high-quality, scalable solutions. - Oversee platform governance including role-based access controls, lifecycle management, upgrade planning, and approval of significant changes to ensure security, compliance, and sustainability. - Monitor platform health and performance, driving continuous improvements to optimize stability, scalability, and operational efficiency. - Provide technical leadership within Agile processes, guiding backlog prioritization, estimation, and task delegation; ensure timely delivery, remove blockers, and manage risks impacting delivery or platform stability. - Align platform practices with governance and total cost of ownership goals, identify opportunities to expand platform value, and mentor Engineers I and II. - Design complex, cross-functional automation solutions and develop advanced scripting and integrations; establish reusable patterns and ensure scalable, maintainable, and secure implementations. - Utilize strong analytical skills with superior communication to collaborate across business and IT stakeholders, aligning work to organizational goals, and driving high-quality outcomes. Qualifications - Required: Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field - Preferred: Master's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field - 5 years ServiceNow engineering experience OR enterprise SaaS platform experience - 5 years Platform architecture, integration patterns, governance, security, and lifecycle management - 5 years Deep multi-module ServiceNow expertise in ITSM, HRSD, CSM, SPM - 8 years ServiceNow engineering experience OR enterprise SaaS platform experience (Preferred) - Certified System Administrator - ServiceNow (Preferred) - Licensure - ServiceNow certification (CAD and module certifications) (Required) Requirements - Travel is required Benefits Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org. Company Description With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve.
• Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs • Build, deploy, and optimize analytical dashboards and other reporting tools to support strategic decision-making • Write well-structured, testable code in Python, R, and SQL to support analytics workflows • Lead the development and best practices of version control, documentation, and coding standards • Partner with data scientists to bring analytics products from prototype to production • Identify and integrate AI-driven tools to enhance data processing and reporting capabilities • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement
Headquartered in Philadelphia, Pennsylvania, Comcast was established in 1963 as a single-system cable company. Over the years, Comcast experienced tremendous gr
Role Description We are looking for a motivated Software Engineer to join our team and help build AI agents that solve real-world problems for customers and employees alike. You will work closely with senior engineers and product partners to design, develop, test, and maintain backend services and AI-driven workflows. This role is ideal for someone early in their career who is passionate about Python, agentic workflows, and learning best engineering practices in a high-growth field. What You Will Do: - Agent Development: Contribute to the development of AI agents, prompt engineering, and supporting backend infrastructure. - Clean Code: Write clean, well-structured, and maintainable Python code that follows established coding standards within the team. - Quality Assurance: Implement unit tests and integration tests to ensure agent reliability and prevent regressions. - Workflow: Use Git and CI/CD tools effectively within a collaborative team environment. - Agile Participation: Engage in Scrum ceremonies, contributing to sprint planning and retrospectives. - Troubleshooting: Debug and troubleshoot issues in development and production, specifically focusing on the unique challenges of LLM outputs. - Peer Growth: Collaborate with team members through code reviews, focusing on learning and maintaining high code quality. Qualifications - Python Proficiency: Strong foundational coding skills in Python (familiarity with asyncio or FastAPI is a plus). - Problem Solving: Solid analytical and debugging skills, especially when dealing with complex data structures or APIs. - Core Fundamentals: Solid understanding of data structures, RESTful APIs, and backend service architecture. - Engineering Rituals: Familiarity with Git workflows and a strong understanding of why we do code reviews. - Testing Mindset: Experience with testing frameworks (like pytest) and an understanding of test-aware development. - Agile Experience: Comfortable working in a fast-paced, iterative Agile environment. - Growth Mindset: An eagerness to learn new technologies, ask "why," and take ownership of your professional growth. Nice to Have: - AI/LLM Interest: Exposure to LLMs or agent frameworks. - Infrastructure: Familiarity with cloud platforms and Docker/containerization. - Data Handling: Experience with asynchronous processing or message queues. Requirements - Education: Bachelor's Degree (preferred, but a combination of coursework and experience or extensive related professional experience may be considered). - Relevant Work Experience: 2-5 Years. Compensation - Primary Location Pay Range: $120,891.07 - $181,336.60. - Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. - Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. - Comcast provides best-in-class Benefits to eligible employees.
Leading nationwide provider of substance use treatment offering a full continuum of care. #FreedomFromAddiction
Role Description - Creates reports, dashboards, and other self-service solutions that clearly present data to stakeholders; maintains developed solutions. - Develops datasets and datamarts for analyses and interactive solutions; implements documentation, design, and development best practices and methodologies in partnership with senior teammates and leaders. - Analyzes datasets to identify trends and outcomes of healthcare programs and interventions; works with senior teammates and leaders to communicate findings and methodologies to stakeholders. - Actively contributes to multiple projects while balancing competing priorities. - Demonstrates deep understanding of data stewardship guidelines, regulations, and department standards for reporting and handling sensitive data. Qualifications - Bachelor’s degree in economics, statistics, data science, finance, business analytics, health informatics, or related field. Master’s degree preferred. - Typically requires 2 to 4 years of experience in business analytics, healthcare informatics, or related field. Requirements - Epic Cogito Fundamentals accreditation or certification, obtained within 180 days. - Epic Caboodle Data Model accreditation or certification, obtained within 180 days. - Epic Clarity Data Model accreditation or certification, obtained within 180 days. - Ability to work independently or as part of a group and balance multiple priorities while consistently completing complex tasks in a goal-oriented manner. - Strong communication skills; demonstrated ability to actively listen and ask clarifying questions. - Team player with positive attitude, strong commitment to customer service, and a desire to master healthcare-related systems and business processes. - Demonstrates critical thinking, ability to problem solve, and is results-oriented. - Experience in programming tools and languages used for data extraction and automation, data management, modeling, and analysis. - Experience working with large-scale data; strong working knowledge of business intelligence concepts and designs. Benefits - Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training. - Premium pay such as shift, on call, and more based on a teammate's job. - Incentive pay for select positions. - Opportunity for annual increases based on performance. - Paid Time Off programs. - Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability. - Flexible Spending Accounts for eligible health care and dependent care expenses. - Family benefits such as adoption assistance and paid parental leave. - Defined contribution retirement plans with employer match and other financial wellness programs. - Educational Assistance Program.
• Structure the data warehouse modeling discipline • Formalize the Credit/Risk domain • Consolidate the Data Warehouse • Scale our semantic layer • Collaborate with Data Engineers
Talkiatry is a digital platform that offers accessible, affordable mental healthcare. The company’s past flexible job postings have offered 100% remote flexibility across a range
Role Description We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org. - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports. - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models. - Adhere to and help evolve our data governance, data quality, and documentation standards. - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf. - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start. Qualifications - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role. - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain). - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery. - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau. - A bias toward building reusable, documented, and governed data products over ad hoc solutions. - Exposure to working cross-functionally with non-technical stakeholders to understand business needs. - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences. Benefits - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care. - Collaborative environment: be part of building something from the ground up at a fast-paced startup. - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more. - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands. Company Description Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. - Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. - At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. - We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. - Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.
We transform data into powerful insights that deliver results.
• Independently triage and resolve pipeline data quality issues • Author at least one new dbt model or refactor an existing one to meet current modeling standards • Design a dbt test suite for a set of models lacking coverage • Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer • Building strong working relationships with clients and cross-functional partners (Data Engineering, Customer Success) • Deeply familiar with Arcadia's full data stack — from ingress through silver, gold, and downstream consumers • Driving at least one improvement project forward, whether technical (e.g. model refactor, new DQ framework) or process-focused (e.g. promotion playbook, triage workflow) • Recognized as a leader within the department — peers and stakeholders seek out your expertise on data modeling and quality • Operating independently across the full scope of the role with minimal guidance • Two or more improvement projects completed and in production, with measurable impact on data quality or operational efficiency
We are on a mission to unlock the world's best food creators and bring their dishes to the doorstep of the masses.
Role Description Analytics Engineers at CookUnity are data product owners who sit in a single team on a mission to minimize time spent by analysts and data scientists discovering, understanding, and preparing data before launching into their work. Each analytics engineer has ownership and autonomy over a set of entities/tables in a domain, collaborating on a single data design from first principles that the team owns together. As their products mature, they merchandise them as Tableau Connections, extracts into sheets, or any other endpoint needed to achieve their mission. Some analytics engineers have an interest in data infrastructure and integrations, others in bringing their data to life through interactive visualizations, but all have the skills to work with unruly raw data, design analytics-friendly data products (including entities and flat tables), and build them to a production standard that the whole company can rely on. Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement, and a sincere interest in investing in their own development. Responsibilities - Own Core Data Products - Design, build, and maintain dbt models in Snowflake that reflect key business logic and serve as reliable sources of truth. Define clear ownership, usage expectations, and roadmaps for your data products. - Build Trustworthy, Scalable Models - Develop models that are easy to use, tested, documented, and serve a wide range of stakeholders. Measure success through usage metrics, reduced support needs, and SLA coverage. - Ensure Reliability and Observability - Monitor pipelines, track schema changes, and implement testing and alerting to ensure consistent data quality and uptime. - Drive Iteration Through Feedback - Collect and act on feedback from users. Use metrics, interviews, and usage logs to continuously improve your data products and documentation. - Advance AI Adoption in Analytics - Champion the use of agentic and AI-assisted tools in data workflows. Lead pilots, measure impact, and scale successful practices across the team. - Collaborate Cross-Functionally - Work with Engineering, Product, and Ops to align on metrics, instrumentation, experimentation, and data needs. - Mentor and Raise the Bar - Review code, guide design decisions, and share knowledge to elevate the craft of Analytics Engineering within the team. Qualifications - 4+ years of experience in Analytics Engineering, Data Engineering, or a similar role working with modern data stacks (dbt, Fivetran/Airbyte, Airflow, Snowflake/BigQuery, etc.) - Deep understanding of data modeling principles (e.g. dimensional modeling, ELT best practices, testing strategies, etc.) - Proficiency in SQL and version control (Git), with experience shipping production-quality data pipelines - Experience collaborating closely with cross-functional stakeholders (Product, Engineering, Operations, etc.) to translate business needs into data solutions - Comfort navigating ambiguity in fast-paced environments, with a strong sense of ownership and problem-solving mindset - Familiarity with BI tools (e.g. Tableau, Hex, Looker) and a passion for enabling self-serve data culture - Excellent communication skills, with the ability to explain technical concepts to non-technical audiences Benefits - 💸 Get paid in USD - 🗺 Work remotely: design the life that you want - ⛱ Enjoy 15 days of vacation each year from the start date - 🎄 16 fully paid Argentinean holidays - 🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider - 🗓️ 5-year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical - 🐣 Paid Family leave - 🕯 Compassionate Leave: 3-5 days each time the need arises - 🧘🏽♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform - 🧑🏫 Personalized English coach
Vida Health is a healthcare technology company offering “virtual care for mental and physical health” via an online platform that seeks to empower people to
• Own the entire lifecycle of data delivery- architecting pipelines from raw sources through dbt models and semantic layers into final Looker dashboards. • Embed directly with stakeholders to scope complex business questions, execute rigorous analyses, and independently translate ambiguous requirements into clear, decision-ready answers.
• We are hiring a Senior Finance Analytics Engineer on the Finance Data Team to support data modeling, reporting, and designing data products for an AI-native consumption model. • Design and build dbt models that serve as the source of truth for Finance & Accounting reporting, planning, and analysis. • Partner directly with stakeholders in Finance, Accounting, Revenue, and FP&A to define metrics, shape requirements, and translate business logic into well-structured models. • Write and optimize complex SQL against our Databricks environment with attention to accuracy. • Uphold and evolve patterns for model design, testing, versioning, and data contracts across the dbt project. • Design the semantic layer and metrics definitions (MetricFlow, Cube, or equivalent) that both humans and agents query against. • Drive the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer so that models, columns, and metrics are legible to LLMs and analysts alike. • Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow.
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SQL, BigQuery, Cloud, Python, Git, dbt