This page tracks remote data engineer openings that are location-eligible for Tennessee.
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• Write and maintain test suites — integration, end-to-end, and regression • Write automated tests and test documentation that any engineer can reproduce and act on • Package and deploy open source software components in Kubernetes environments • Build and maintain seed data tooling and scripts that make the platform demonstrable from scratch • Contribute to internal tooling, dashboards, and documentation • Write clear bug reports and reproduction steps • Participate actively in code review, seeking feedback, and growing your technical judgment
Role Description We are currently looking for a new Business Data Migration Consultant – Finance (SAP) to support our growing team and ongoing transformation initiatives. - Plan and execute business-side data migration activities for Finance data objects in line with global, deployment, and country-specific requirements and timelines. - Perform and coordinate data cleansing activities, ensuring completion within agreed schedules and quality standards. - Complete data collection activities for manual and construction data objects. - Collaborate with IT teams to prepare, validate, and maintain value mappings between source and target systems. - Create and maintain master data lists for assigned Finance data objects where applicable. - Provide business insights and detailed information to technical teams to support data extraction and conversion from legacy systems. - Work closely with IT teams and Business Data Owners to identify and confirm country-specific data objects in scope. - Ensure data readiness and data quality throughout the entire migration lifecycle for assigned Finance data objects. - Verify that data is fit for purpose and aligned with business requirements and stakeholder expectations. - Review and formally approve upload files before and after data loads. - Perform manual (type-in) data loads into target systems where required. - Execute dual maintenance activities to ensure data consistency across systems. - Execute and approve data verification scripts and validation activities. - Act as the functional Single Point of Contact (SPoC) for assigned Finance data objects during migration and Hypercare phases. - Support defect management activities, ensuring timely resolution of data related issues. Qualifications - 5+ years of experience in country-level and global roles, preferably within large-scale ERP transformation programs. - Proven SAP project implementation experience. - Strong SAP Finance process knowledge, including Finance master data, Fixed Assets, General Ledger (GL), Profit & Loss (P&L) reporting, WBS, Internal Orders, Accounts Payable (AP), and Accounts Receivable (AR). - Hands-on experience with business-side data migration, including data cleansing, mapping, validation, reconciliation, and sign-off activities. - Strong understanding of Finance data structures and dependencies within SAP environments. - Excellent stakeholder management, communication, and negotiation skills. - Ability to work both strategically and hands-on, including facilitating meetings, tracking progress, and managing issues and risks. - Advanced Microsoft Excel skills for data analysis, cleansing, and reconciliation. - Fluent English and Spanish. - Bachelor’s or Master’s degree preferred. - Candidates must declare criminal record extract not older than three months. Benefits - Broad range of activities, tasks, and projects. - Flexible working conditions. - Minimum 5 weeks of vacation. - Paid sick days. - Meal vouchers. - Vouchers (B-day voucher, wedding, and new born surprise). - Contributions to wellness programs (multisport card). - Fishing for Friends program – our referral program. - Refreshments in the D-ploy office. - Further development and professional advancement. - Friendly and international working environment. - Company-sponsored events. - Competitive salary and various benefits.
Global energy think tank that uses data-driven insights to shift the world to clean electricity.
Role Description Use your coding and data skills to work on the most important challenge of our time: shifting the world to clean energy. Ember publishes the best-in-class dataset on global electricity generation and the data team is growing as we expand our datasets to new areas such as installed renewable capacity, price, battery storage, grids and flexibility, EV and heat pump deployment. We are looking for someone to use their data and coding skills to ensure we can quickly gather and curate data from new sources, as well as helping to run, maintain and document existing data pipelines. This role offers an exciting opportunity to learn from a knowledgeable and passionate team of engineers and analysts while applying your development skills towards the clean energy transition. Key Responsibilities - Develop new ETL scripts using Python to gather and validate data from a variety of sources e.g. APIs, web scraping. - Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. - Help run, maintain, and improve existing data pipelines. - Help ensure that our pipelines are written using best coding and data practices. - Help ensure Ember’s data and output are of the highest standard. Qualifications - At least one year experience developing and deploying Python code. - Experience working with SQL databases. - Numerate and data literate, with excellent data extraction and transformation skills. - A thoughtful and selective approach to the use of AI coding tools and the ability to critically evaluate their outputs. - Fluent in spoken and written English. - Passionate about clean energy. - Driven and keen to learn. - Systematic with careful attention to detail. - Ability to work as part of a remote international team. Requirements - Experience developing data pipelines on an orchestration platform such as Dagster (preferred), Airflow, dbt or Prefect. - Experience with version control software such as Git. - Experience working on cloud platforms, such as GCP (preferred), AWS or Azure. - Experience working with business users to turn research questions into specific data requirements, and developing to those requirements. - Other language skills. - Previous experience within the power sector or clean energy sector. Benefits - We operate a nine-day fortnight meaning our full-time staff are given every other Friday off work with no reduction in pay. - 25 days holiday, plus UK bank holidays (unless local statutory minimums are higher) and for each year that you're part of the team at Ember you'll receive an additional day of holiday, up to a maximum of 5 additional days. - Generous paid maternity and paternity leave. - Flexible working conditions, including the opportunity for part-time work and home working. - Access to a local working space can also be arranged for employees. - Free annual eye tests. - Access to a counselling service. - Funding and allocated time for your training and development. - Paid volunteer day. - Four paid days off to enable low carbon travel. - Time off to donate blood.
Role Description Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. Qualifications - 8+ years as a hands-on Data Engineer designing and implementing data solutions - Team lead, and/or mentorship of other engineers - Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration - Programming expertise in Java, Python and/or Scala - Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP - SQL and the ability to write, debug, and optimize SQL queries - Client-facing written and verbal communication skills and experience - Create and deliver detailed presentations - Detailed solution documentation (e.g. including POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.) - 4-year Bachelor's degree in Computer Science or a related field Requirements - Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks - Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems - Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies - Multiple data sources (e.g. queues, relational databases, files, search, API) - Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment - Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines - Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi Benefits - Remote-First Workplace - Medical Insurance for Self & Family - Medical Insurance for Parents - Term Life & Personal Accident - Wellness Allowance - Broadband Reimbursement - Continuous learning and growth opportunities to enhance your skills and expertise - Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content
Ascension Health is the largest nonprofit organization that specializes in providing Catholic faith-based, comprehensive healthcare services in the United State
Title: Oncology Data Specialist Location Remote Health Information Management Job ID: 452835 Full Time Remote Day Job Description: Your future role at a glance Location: Remote Department/Specialty: Clinical Quality Registry Services Schedule: Full time Salary: $26.49 - $36.93 per hour #ADSI #internalops #LI-Remote Life at Ascension: Where purpose meets opportunity Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 97,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter. Benefits that help you thrive - Comprehensive health coverage:medical, dental, vision, prescription coverage and HSA/FSA options - Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance - Time to recharge: pro-rated paid time off (PTO) and holidays - Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning - Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources - Family support:parental leave, adoption assistance and family benefits - Other benefits: optional legal and pet insurance, transportation savings and more How you’ll make an impact in this role Utilize specialty databases to extract patient data from electronic medical records for the analysis of cancer incidence data under direct supervision. Responsibilities: - Screen disease indices, pathology reports, radiology reports, and other clinical documents to identify reportable cancer cases for case finding. - Perform primary data abstraction duties for oncology measures and registries while ensuring high levels of abstraction accuracy and alignment with organizational quality standards in compliance with all oncology regulatory standards. - Maintain the long-term follow up process of data collection and input for all cancer registry patients. - Collect data for National Cancer Database special studies as required. - Adhere to Oncology Abstraction Training Program requirements. What minimum requirements you’ll need Licensure / Certification / Registration: - Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA) obtained within 36 Months (3 years) of hire date or job transfer date required. - Registrar specializing in Tumors preferred. Education: - High School diploma equivalency with 2 years of cumulative experience Currently enrolled or successful completion of a NCRA-Accredited Certificate Program OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required. Equal employment opportunity employer Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies.
Role Description Koniag Professional Services is seeking an experienced Data Warehouse Task Lead to support our client, the Department of Health and Human Services (HHS), Office of the Chief Information Officer (OCIO), in migrating to a secure, scalable, and integrated Human Capital Management (HCM) solution. The ideal candidate combines strong data warehousing technical skills with an understanding of federal government systems and requirements. The Task Lead will primarily be working remotely but may need to travel onsite to support customer meetings, whiteboarding sessions, presentations to customers, and any in-person meetings as requested by the customer. - Manage schedule, task assignments, requirements, and deliverables for the Data Warehouse workstream to ensure on-time delivery of migration milestones and adherence to project timelines. - Provide guidance to the team on Requirements Gathering techniques, Change Management, Risk Analysis, and Metrics Reporting. - Lead the data analysis, migration planning, and consolidation of approximately 20 disparate HRIT data management systems and five (5) business intelligence systems into a unified Data Warehousing, BI, and ETL platform environment, in support of the Oracle HCM platform. - Develop and document data architecture, ETL workflows, and business intelligence requirements to support HR analytics and reporting across the enterprise. - Assist with testing functionality of and interactions between enterprise systems from an end-user perspective. - Collaborate with fellow task leads and stakeholders in the migration and sustainment of unified HCM capabilities. Qualifications - 4-year college degree - 7+ years overseeing technical and non-technical teams - Experience with Oracle-based Data Warehouse, Business Intelligence, and ETL technologies, including familiarity with Oracle data and analytics tooling - Strong programming language proficiency and experience with data modeling techniques - Experience developing data migration strategies, data mapping documentation, and data governance/data quality frameworks - Experience with enterprise ETL tools such as Informatica - Knowledge of Scrum processes, familiarity with JIRA - Excellent verbal, written and interpersonal communication - Exceptional client relationship skills - Microsoft Office suite skills to include Visio, MS Project, PowerPoint Requirements - Ability to maintain Public Trust Clearance Benefits - Competitive compensation - Extraordinary benefits package including health, dental and vision insurance - 401K with company matching - Flexible spending accounts - Paid holidays - Three weeks paid time off - And more
Cardinal Health is an award-winning Fortune 500 healthcare company specializing in the distribution of medical products and pharmaceuticals. The company serves
Role Description The Senior Data/AI Engineer is a senior individual contributor on the Data & AI Engineering team responsible for leading the design and delivery of data and AI solutions across our Lakehouse and SQL Server environments. The responsibility of the role is to own projects from problem framing through scoping, architecture, prototyping, and production deployment. - Support the design and delivery of data and AI solutions across Lakehouse and SQL Server environments. - Own projects end-to-end, from problem framing and scoping through architecture, prototyping, and production deployment. - Develop and implement modern healthcare data platforms and AI engineering solutions, including medallion architecture (bronze/silver/gold), Delta Lake, and T-SQL ETL. - Design and build natural language AI capabilities such as NLP/NLU, retrieval-augmented generation (RAG), document-level LLM extraction, and agentic frameworks. - Apply AI and data engineering solutions to diverse healthcare data, including EHR/EMR, practice management (PM), pharmacy, claims, and clinical notes. - Drive 0-to-1 initiatives from concept to production, defining problems, exploring solution spaces, and delivering measurable value. - Research and prototype novel approaches to complex problems, operating effectively in ambiguous environments. - Serve as a technical lead on cross-functional initiatives, establishing project-level technical direction. - Drive engineering and code quality standards within the team. - Mentor mid-level engineers, fostering their growth and development. - Partner with product, clinical, analytics, and platform teams to translate ambiguous requirements into robust, production-ready systems. - Operate fluently across Databricks and major cloud platforms (Azure, GCP). - Leverage modern AI-assisted development tooling (e.g., Claude Code, Codex) to accelerate delivery. Qualifications - 4+ years in Data Engineering, Software Engineering, or Analytics, with a proven track record of taking 0-to-1 initiatives from concept to production. - Bachelor's degree in Computer Science, Machine Learning, Analytics, Engineering, or a related field highly preferred; Master's degree a plus. - 3+ years of hands-on experience with Databricks and/or Snowflake, a major cloud platform (Azure, GCP, or AWS), PySpark, Spark SQL, and Delta Lake fundamentals (ACID, MERGE, OPTIMIZE/ZORDER, schema evolution). - Experience with T-SQL on Microsoft SQL Server (or PLSQL/Oracle), including stored procedures, views, and functions, and navigating large codebases. - Proven experience (with healthcare data context) deploying NLP/NLU and modern AI/LLM-based systems (e.g., RAG, document-level extraction) from research through production, covering chunking, retrieval, prompting, evaluation, monitoring, and cost/performance tuning. Experience with agentic frameworks is a plus. - Experience working with diverse healthcare data (EHR/EMR, PM, pharmacy, claims, clinical notes) while adhering to HIPAA, PHI-handling, and multi-tenant data isolation standards. - Strong technical leadership skills, capable of scoping and leading initiatives, driving architectural decisions, mentoring, and collaborating across product, clinical, analytics, and platform teams. Demonstrates intellectual curiosity, a bias for investigation, and the ability to research and prototype novel approaches. - Expertise in performance tuning for Spark/Databricks and SQL Server, including plan analysis, partitioning, indexing, and query optimization. Solid understanding of data modeling (dimensional/normalized) and modern ETL/ELT design patterns, including incremental loads and medallion Lakehouse architecture. - Strong grasp of SDLC, Git, CI/CD (Azure DevOps, GitHub Actions, or similar), automated testing, data quality, observability, and rigorous code/design reviews. - Hands-on experience using Claude Code, Codex, or similar AI-assisted development tools. - Excellent written and verbal communication skills, able to influence technical decisions and translate complex concepts across diverse stakeholders. Requirements - Anticipated salary range: $94,900 - $135,600 - Bonus eligible: No Benefits - Medical, dental and vision coverage - Paid time off plan - Health savings account (HSA) - 401k savings plan - Access to wages before pay day with myFlexPay - Flexible spending accounts (FSAs) - Short- and long-term disability coverage - Work-Life resources - Paid parental leave - Healthy lifestyle programs
The National Multiple Sclerosis Society mobilizes people and resources to drive research for a cure and to address the challenges of everyone affected by MS. To fulfill this mission, the Society funds cutting-edge research, drives change through advocacy, facilitates professional education, collaborates with MS organizations around the world, and provides programs and services designed to help people with MS and their families move their lives forward. We partner with volunteers to accomplish our work. Staff members engage volunteers through effective and timely communications, facilitating meaningful opportunities, and continually seeking and providing feedback for reciprocal growth and learning.
Role Description The Business Data Lead is responsible for developing shared business data models, definitions, and metric frameworks that enable consistent, scalable, and self-service analytics across the organization. This role partners across business, analytics, and technology teams to ensure enterprise data is understandable, aligned, and actionable in support of operational efficiency, fundraising effectiveness, and strategic decision-making. As part of the organization’s Unified Data Foundation (UDF) strategy, this role advances a connected enterprise data ecosystem that improves data accessibility, consistency, usability, and AI readiness. By aligning shared business definitions, metrics, and data structures across systems and teams, the role enables trusted, reusable analytics that support faster and more informed decisions. The position leads cross-functional efforts to establish scalable, business-friendly data foundations, strengthening alignment between business and technology teams and supporting long-term analytics enablement. Qualifications - Demonstrated experience in data modeling and semantic layer design, including dimensional modeling, business-facing data structures, and enterprise reporting solutions. - Experience developing and managing business metrics, definitions, and metric frameworks across multiple functional areas to support consistent analytics and reporting. - Proven ability to translate business processes and requirements into scalable data models and actionable insights, partnering with stakeholders across business, analytics, and technology teams. - Understanding of enterprise analytics, business intelligence, and self-service reporting concepts, with experience enabling scalable data access and usability. - Strong collaboration and facilitation skills, with experience driving cross-functional alignment, standardization, and shared understanding of data and metrics. - Excellent communication skills, with the ability to clearly explain complex data and technical concepts to non-technical audiences. - Strong analytical, problem-solving, and organizational skills, with the ability to resolve data inconsistencies and balance strategic design with operational execution. - Experience supporting adoption of shared business data models, metric frameworks, or enterprise reporting solutions across diverse teams. - Demonstrated ability to define and scale shared business data models or metric frameworks across multiple teams or functional areas. Requirements - Ability to travel approximately 20%. Benefits - Considerable Paid Time Off Plan - Paid Holidays - 401k Retirement Savings Plan with Society match - Commuter Benefit Plan - Comprehensive Health & Welfare benefits including: - Medical - Dental - Vision - Flex Spending Accounts - Life Insurance - Disability Coverage - Spring Health Membership offering free therapy and professional coaching, as well as additional voluntary benefit offerings. - Join an incredible mission-focused team of people! Main Responsibilities - Lead the design, development, and evolution of shared business data models, metrics, and reusable reporting structures that support consistent and scalable analytics. - Translate business processes and requirements into scalable, business-friendly data models, metric definitions, and reporting logic that enable actionable insights and decision-making. - Define and maintain standardized business definitions, metric logic, and data relationships while identifying and resolving inconsistencies that impact analytics usability, alignment, and reporting accuracy. - Collaborate with data engineering, architecture, analytics, and product teams to align enterprise data structures with semantic models, ensuring scalability, performance, and usability. - Drive adoption of shared business data models and reporting structures by improving data accessibility and enabling intuitive, scalable self-service analytics. - Improve reporting consistency and trust in enterprise data by reducing duplicate or conflicting metric definitions, supporting faster and more confident business decision-making. - Facilitate cross-functional alignment by bringing together business, analytics, and technology teams to standardize metrics and build shared understanding of enterprise data. - Provide subject matter expertise and guidance on data modeling, metric design, semantic layer best practices, and data enablement strategies. - Evaluate and evolve semantic modeling tools, frameworks, and practices to support organizational growth, changing business needs, and emerging analytics capabilities. - Manage semantic and business-facing data assets as products, including lifecycle ownership, usability, adoption, and continuous alignment with evolving business and analytics needs. - Lead cross-functional semantic modeling and analytics enablement initiatives, driving alignment, influencing approaches, and guiding teams toward scalable, business-friendly data solutions. Preferred Qualifications - Experience with semantic modeling tools, BI platforms, enterprise reporting tools, or data catalog/search tools. - Familiarity with modern data architectures (e.g., data warehouses, lakehouses, distributed systems). - Experience contributing to enterprise data standardization or modeling initiatives. - Knowledge of data visualization best practices and analytics user experience design. - Experience driving self-service analytics adoption or business-facing data enablement. - Experience working in product-based, agile, or matrixed organizational environments. - Experience supporting domain-specific data environments such as CRM, revenue operations, fundraising, or similar operational systems.
Role Description The Principal Commercial Data Architect owns the Marketing and Revenue Management data architecture strategy and multi-year roadmap. You will modernize platforms, establish architectural standards, and enable scalable, cloud-native solutions that drive measurable business impact. You will partner closely with executive leadership, commercial stakeholders, and technology teams to ensure our data platforms are resilient, governed, and built for the future. The Day-to-Day: - Define and execute a multi-year Marketing and Revenue Management data architecture roadmap aligned to commercial strategy, including lakehouse evolution, interoperability, governance, and observability. - Own architectural standards for Databricks, Delta Lake, Unity Catalog, and cloud-native data environments to ensure scalability and performance. - Architect Marketing and Revenue Management semantic models, KPI logic, and unified metric layers that enable standardized analytics and reporting. - Lead governance frameworks across metadata, lineage, security, compliance, and regulatory standards. - Establish Marketing and Revenue Management data observability and quality standards using tools such as Monte Carlo, Soda, and Great Expectations. - Chair architecture councils and mentor senior architects, strengthening organizational capability and technical excellence. - Evaluate emerging technologies and guide modernization toward scalable, cloud-native architectures. Qualifications - 10+ years of prior relevant experience in data architecture, engineering, or enterprise data platform leadership. - 5+ years of prior relevant experience in architecting large-scale cloud or Lakehouse environments (Databricks preferred). - Deep expertise in lakehouse and distributed systems. - Hands-on knowledge of Databricks, Delta Lake, and Unity Catalog. - Strong executive communication and stakeholder influence skills. - Experience designing governance and compliance frameworks. - Bachelor’s degree in Computer Science, Information Technology, or related field required; Master’s preferred. - Preferred: Domain expertise in Gaming & Hospitality Operations, Loyalty & Customer Engagement, or Marketing & Commercial Analytics. Benefits - Prioritize your wellness, access programs crafted to nurture your mental and physical health. - Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! - Savor delicious meals for free in our employee dining room. - Park with ease—whether you're on or off shift, it's free! - From healthcare to financial support and generous time-off options, we’ve got you covered. - Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. Company Description The SHOW comes alive at MGM Resorts International. Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. Pay Range The pay range for this role is: $122,700.00 - $163,600.00. This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location. This position is eligible to participate in the Company’s incentive plan. Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership. Are you ready to JOIN THE SHOW? Apply today!
Transforming the health of the communities we serve, one person at a time.
Role Description You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. - Design, build, test, and maintain scalable technology solutions to meet business needs. - Develop production processes utilizing best practices and adhering to team standards. - Run operational ETL jobs, produce reports, troubleshoot issues, investigate data issues, and assist business personnel in answering data-related questions. - Contribute to the entire implementation process including driving the definition of improvements based on business need and architectural improvements. - Meet with business partners to understand business needs. - Responsible for overall design of the solution. - Design, build, and test applications. - Conduct root cause analysis and advanced performance tuning for complex business processes and functionality. - Support actuarial-based Medicaid compliance reporting processes. - Responsible for transition legacy reports and ETL processes to Next Gen development framework. - Share knowledge and experience in one or more of the following technologies: SAS, Teradata, Greenplum, or Power BI. Qualifications - Bachelor’s degree in Computer Science, Managing Information Technology, Statistics, Mathematics, Engineering, or related, or its foreign equivalent, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. - 6 years of relevant work experience. - Experience with developing and maintaining large-scale health insurance systems in support of reporting and analytics. - Utilizing knowledge of Medicaid regulatory financial reporting state requirements, internal information systems, and enterprise data sources. - Designing, developing, and maintaining Teradata and Greenplum ETL processes. - Designing, developing, and maintaining Teradata and Greenplum databases. - Designing and developing reports, analytics, and dashboards in Microsoft Power BI. Requirements - Position reports to Centene headquarters at 7700 Forsyth Boulevard, St. Louis, MO 63105 and various unanticipated worksites throughout the U.S. - Telecommuting permitted 100% of the time. - No additional national or international travel is anticipated. Benefits - Competitive pay. - Health insurance. - 401K and stock purchase plans. - Tuition reimbursement. - Paid time off plus holidays. - Flexible approach to work with remote, hybrid, field or office work schedules. - Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law. - Total compensation may also include additional forms of incentives.
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ETL, Distributed Systems, Python, Data Engineering, AI, GCP
