Role Description Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. Responsibilities: - Responsible for the design and implementation of scalable & fault tolerant data applications on on-prem & AWS to store and process terabytes of data from upstream sources with high availability. - Partner with information architects, platform architects, data scientists, and product management on solution requirements to design solutions. - Hands-on experience with Advanced Ab Initio concepts, including ETL project development, solution design, metaprogramming, PDL. - Design generic ETL frameworks using Ab Initio, coupled with strong hands-on involvement in audit and reconciliation workflows. - Strong cloud engineering skills with AWS, including hands-on experience with S3, Amazon Redshift and related data services. - Work with batch and real-time data pipelines in a DevOps environment. - Hands-on understanding and working knowledge of the Hadoop ecosystem, including Hive. - Utilize innovative frameworks to avoid redundancy by promoting automation. - Identify enablers and level of effort required to properly ingest and transform data for the DWH & data. - Stay up to date on latest trends in data engineering, coach team members and recommend best practices, insights and/or expertise in deliverables. - Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Team Members in a Scaled Agile framework. - Develop and maintain strong collaborative working relationships with Technology and Business Stakeholders. Qualifications - Minimum of 5 years of data warehouse and ETL Ab Initio experience, including hands-on technical and lead capabilities. - Minimum of 5 years of experience working with Ab Initio GDE, Conduct IT, Meta Programming, PDL, Hadoop, Shell Scripting, and SQL. - Minimum of 5 years of experience working in the banking industry. - High School Diploma or GED. Requirements - Bachelors or Associates degree (preferred). - Cloud Migration experience and PySpark (preferred). Benefits - Market competitive suite of benefits including medical, dental, vision, and long-term disability coverage. - 401(k) plan. - Paid time off.

Role Description Johnson & Johnson is hiring for a Comm Ops Data Engineer – Shockwave Medical to join our team. The position is FULLY REMOTE and can sit anywhere in the US. As a Data Engineer reporting to the Sr. Manager, Data Engineering, you will play a pivotal role in enabling our business groups to access and interpret meaningful data. You will need to bridge detailed knowledge of our data with an understanding of end users’ needs, crafting accessible, well-structured data for reporting, advanced analytics, and use in AI modeling. Essential Job Functions - Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses. - Aid in semantic model and view development within Snowflake to enable advanced, self-service analytics aligned to the newest analytical practices. - Collaborate with team members to understand data needs and provide technical solutions. - Experiment with new data engineering techniques and tools, embracing the unknown to drive innovation and improvement. - Monitor data systems and implement enhancements driving performance and efficiency. - Coordinate with IT to ensure seamless flow of data across systems, maintaining high standards of data availability and security. This is a hybrid/remote role, depending on location and business needs. Travel up to 20% may be required for business needs. Qualifications - Bachelor’s degree and 2+ years of experience as a Data Engineer or similar technical role. - Expertise in SQL and ETL tools for data transformation and warehouse management. - Experience working with Snowflake; Streamlit experience a plus. - Understanding of Power BI or other business intelligence tools. - Familiarity with data governance, security, and compliance best practices. - Propensity to problem-solving and ability to optimize data applications. - Understanding of Python, R, or other scripting languages. - Biotech, Medical Device, Medtech, Life Sciences experience a plus. Requirements - Custom Programs - Data Analysis - Data Pipelines - Data Visualization - Impact Management Benefits - Vacation – 120 hours per calendar year - Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado – 48 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year - Holiday pay, including Floating Holidays – 13 days per calendar year - Work, Personal and Family Time - up to 40 hours per calendar year - Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child - Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year - Caregiver Leave – 80 hours in a 52-week rolling period - Volunteer Leave – 32 hours per calendar year - Military Spouse Time-Off – 80 hours per calendar year

Role Description The Engineer III is an experienced software engineer who independently designs and delivers complex features with minimal oversight. This role applies strong technical judgment to solve difficult problems, upholds team engineering standards through code review and documentation, and begins to mentor junior engineers. The Engineer III is a reliable owner of significant work and a growing technical voice within their team. ESSENTIAL FUNCTIONS AND BASIC DUTIES: Technical Execution & Excellence - 80% - Independently design and implement complex features and improvements from requirements through production. - Own medium-to-large features and initiatives end-to-end with minimal oversight. - Write high-quality, well-tested, maintainable code that serves as a model for junior engineers. - Lead code reviews, providing thorough and constructive technical feedback. - Diagnose and resolve complex bugs and production issues, including those spanning multiple systems. - Identify and address technical debt within their area; propose improvements with clear rationale. - Make sound technical decisions within well-understood domains; escalate architectural decisions appropriately. - Build deep knowledge of the team's systems and contribute to architectural discussions. - Drive improvements to team engineering practices - testing, observability, CI/CD, and code quality. - Contribute to technical documentation, runbooks, and design documents. - Participate in incident response and post-incident review within their domain. - Balance delivery speed with code quality and long-term maintainability. Team Collaboration & Technical Contribution - 15% - Communicate progress, risks, and technical tradeoffs clearly to team and stakeholders. - Collaborate with Product and QA on requirements, acceptance criteria, and feature quality. - Mentor Engineer I and Engineer II teammates through pairing, code review, and coaching. - Participate in technical interviews and hiring screens. - Help decompose and estimate complex work for sprint and quarterly planning. - Share knowledge through documentation, design documents, and team discussions. - Partner with Platform on infrastructure and tooling needs for features they own. Technical Growth & Influence - 5% - Contribute to team-level technical direction and approach. - Propose improvements to engineering processes, tooling, and standards. - Participate in architecture and design reviews for teamwork. - Develop breadth across the team's systems beyond their primary ownership area. SECONDARY FUNCTIONS (IF APPLICABLE) - May work on special projects or other duties as assigned. - Research and develop necessary skills to support organizational objectives. SUPERVISORY/BUDGETARY/EXTERNAL COMMUNICATION RESPONSIBILITY - No direct supervisory responsibility. - Communicates with immediate team and cross-functional partners (Product, QA, Platform) and external vendors as needed. Qualifications - Bachelor's Degree in Computer Science, related technical field, or equivalent practical experience, required. - 4-6 years of professional software engineering experience. - Proven experience independently delivering complex features from design through production deployment. - Experience working with distributed systems, APIs, data pipelines, or cloud infrastructure at production scale. - Experience providing meaningful code review feedback and beginning to mentor junior engineers. Requirements - Ability to adhere to and exhibit the Company Values at all times. - Solid proficiency in the technology stack and domain relevant to the team (e.g. application, data, or cloud/infrastructure engineering). - Understanding of CI/CD pipelines, observability practices, and modern software delivery. - Familiarity with healthcare or regulated industries (HIPAA, SOC2) preferred. - Solid proficiency in programming languages and tools relevant to the team's domain. - Experience designing and building production systems - APIs, data pipelines, cloud infrastructure, or web applications depending on discipline. - Ability to independently design and deliver complex features with minimal guidance. - Strong code review skills; provides thorough, constructive technical feedback. - Experience writing unit, integration, and end-to-end tests; advocates for appropriate test coverage. - Understanding of cloud platforms, CI/CD pipelines, observability, and software delivery best practices. - Ability to diagnose and resolve complex bugs spanning multiple systems or services. - Emerging technical leadership - can guide junior engineers and contribute to team technical direction. - Clear written and verbal communication; can document design decisions and tradeoffs. - Collaborative and accountable; owns outcomes, not just tasks. - Solid critical thinking and creative problem-solving skills. - Strong organizational and time management skills. - Flexibility and adaptability to change. - Working knowledge of Microsoft Word, Excel, PowerPoint, Outlook, and Teams. - Solid understanding of software design fundamentals (data structures, algorithms, design patterns). - Eagerness to learn and apply new technologies and frameworks. - Ability to consistently meet goals, commitments, and deadlines. - Ability to work with sensitive information and maintain confidentiality. Benefits - Company-paid benefits (Basic Life and AD&D, Short and Long-Term Disability, Employee Assistance Program, Compass Health Advocate and Transitions). - Healthcare benefit options (Value Plan, High Deductible Plan with HSA, Healthcare FSA, Dependent Care FSA, Prepaid Legal Services, 529 Savings Plan, Pet Insurance). - Paid parental leave. - Company sponsored 401k plan with company matching. - PTO that accrues at a rate of 15 days/year for 1st year and continues to increase with tenure. Disclosures - Smoking/vaping and the use of tobacco products are prohibited on all Company premises, including indoor and outdoor areas, parking lots, and Company-owned vehicles. - As part of our employment process, candidates who receive a conditional offer may be required to undergo pre-employment drug testing. - We are an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under the law.

Role Description We are seeking an accomplished Data Engineer to join our rapidly growing team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making. The Data Engineer will partner with data architects, data analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data platform by improving existing pipelines or redesigning them for greater scalability, performance, and maintainability. The successful candidate will apply modern software engineering practices, including AI-assisted development tools, to improve productivity, code quality, and delivery speed while maintaining strong engineering standards. Responsibilities - Design, develop, and maintain scalable data pipelines and data products for internal and external consumers. - Build and optimize batch and near real-time data ingestion, transformation, and delivery processes. - Integrate data from internal and external sources to support business, reporting, and analytics requirements. - Collaborate with data architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions and support Sisense dashboards and analytics assets. - Design and implement data models that support reporting, analytics, and operational use cases. - Ensure data quality, reliability, and performance through monitoring, validation, automated testing, and troubleshooting. - Write maintainable, well-documented, and testable code; participate in code reviews; and leverage AI-assisted development tools to improve quality and efficiency. - Support CI/CD, infrastructure automation, technical documentation, and continuous improvements to data architecture, tooling, and engineering practices. Qualifications - 2–4 years of professional experience in Data Engineering, Data Warehousing, or related roles. - Strong hands-on experience with Python and SQL for building scalable data pipelines and transformation logic. - Experience with Apache Spark, Parquet, and Azure Databricks, including Databricks workflows, Delta Lake, Delta Sharing, and Unity Catalog. - Strong SQL expertise including performance tuning, indexing, partitioning, query optimization, and stored procedure development. - Solid understanding of ETL/ELT methodologies, data warehousing principles, and modern data engineering best practices. - Experience designing and implementing data models to support analytics, reporting, and operational use cases. - Experience supporting or working with BI tools such as Sisense (or similar platforms). - Experience with CI/CD pipelines and version control practices (e.g., GitLab, Jenkins, or equivalent). - Experience working in fast-paced product environments with an emphasis on delivery, maintainability, and minimizing technical debt. - Strong communication skills with the ability to collaborate across technical and non-technical stakeholders. Bonus Qualifications - Experience building lightweight data applications or internal tools using any of the following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or Node.js. - Ability to navigate ambiguity, prioritize effectively, and adapt to changing business needs. - Prior experience in financial services or regulated environments is a plus.