At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: Key Responsibilities: - Develop business insights using predictive statistical modeling. - Generate and improve decision‑making by modeling client, market, and performance data aligned with client mission goals. - Collaborate with clients to define business requirements and maintain batch processes. - Support all stages of the software development lifecycle, including gathering requirements, creating functional documentation, performing testing, and contributing to code development. - Conduct root cause analysis for processing failures or bugs and drive improvements. - Respond to data requests and perform business analytics to help design new solutions. Here is what you need: - US Citizen or dual citizen eligible for Public Trust Clearance - Experience with predictive statistical modeling or analytical techniques. - Ability to use analytical tools to evaluate client, market, and performance data. - Experience supporting software development lifecycle activities (requirements, documentation, testing, or coding). - Skill in performing root cause analysis for data or processing issues. - Capability to collaborate with clients or stakeholders to define business requirements. Preferred experience: - Experience maintaining or improving batch processes. - Background in developing new business solutions through analytics. - Familiarity with integrating analytics into mission‑focused decision‑making. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $70,500—$136,700 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

• Architect the Business Insights Foundation • Deliver Business-Facing Insights • Directly Collaborate with Stakeholders • Story-tell Using data • Build for Scale • Apply Engineering Rigor to Analytics

Location: Remote from US Location Position: Analytics Engineer I ECC provides essential environmental, construction, and disaster response services, relying on its Data Science & Analytics Team for enterprise data pipelines, automation, Power BI datasets, and AI initiatives. As an Analytics Engineer, you transform data and technology into actionable insights to drive growth and improve performance. You design and maintain data infrastructure, develop predictive and AI-driven solutions, and collaborate with business units to optimize personnel selection, safety and core KPIs. In addition to technical expertise, you embody ECC’s vision and values—building trust, fostering collaboration, and encouraging innovation to support both team and stakeholder success. In this position, you will: - AI & Intelligent Systems Engineering: Design and deploy enterprise AI solutions using LLMs, RAG architecture, and intelligent agents aligned with ECC business needs. - Copilot & Agent Development: Build and maintain copilots and AI agents using Microsoft Copilot Studio and Microsoft Agents SDK, integrating workflows, guardrails, and telemetry. - Computer Vision & Detection Models: Develop, train, and deploy computer vision models for object detection, classification, and image analysis to support operational, safety, and analytical use cases. - Data Foundations for AI: Engineer and manage Azure‑based data pipelines that power AI retrieval, embeddings, and analytics workloads. - Automation & AI Integration: Develop Python‑based automation and integrations for APIs, document ingestion, embeddings, and AI pipeline orchestration. - Analytics & Decision Enablement: Enable AI‑driven insights by supporting trusted semantic models and datasets used across reporting, copilots, and executive workflows. - Cross‑Functional Collaboration: Partner with business and technical teams to define AI use cases, data requirements, and success metrics. - Governance, Quality & Observability: Ensure AI and data solutions meet standards for security, reliability, documentation, transparency, and responsible use. - Documentation & Production Support: Maintain clear technical documentation and support production AI systems during deployments and critical business cycles. Requirements - Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field with at least 2 years of professional experience in data engineering, BI engineering, or analytics engineering; or a master’s degree in one of these fields with at least 1 year of professional experience. - Strong SQL includes window functions, performance tuning, and relational modeling. - Hands‑on experience with Azure (AI Search, ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview). - Hands-on experience with Computer vision models for classification, detection and segmentation using cloud services or offline models - Proven experience with LLMs, RAG architecture, embeddings, prompt engineering, and evaluation techniques in an enterprise setting. - Proficiency in Python for data engineering, AI pipelines, APIs, document processing, and automation. - Experience building copilots or intelligent agents using Copilot Studio, Microsoft Agents SDK, or comparable AI orchestration frameworks. - Experience with Git and CI/CD pipelines. - Understanding of data quality, observability, and structured documentation. ECC targeted salary range for US locations average is $75,762 to $103,840 annually. Actual salary offered may be affected by education, training, certifications, experience, skills, level of responsibility, and location. Benefits Offered for Full-Time positions: - Medical/Dental/Prescription/Vision Insurance - Life Insurance, Long Term Disability Insurance - Paid Time off and Holiday Pay - 401k with deferral matching, ESOP, Student Debt Reduction Program - Flexible Spending Accounts (FSA) - Educational Assistance, Mentorship Program, ECC University - Employee Referral Bonus Program - Company-matching charitable giving program

• Design, implement, and support end‑to‑end ELT pipelines (ingest → transform → publish) in Databricks/ADF • Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks • Build curated, analytics‑ready Delta tables using dimensional modeling for consumption by BI Developers • Implement CDC and deletion‑flag patterns; manage schema drift and partitioning/Z‑Ordering strategies • Operationalize jobs with monitoring, logging, alerting; participate in an on‑call rotation as needed • Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency • Document pipelines, data contracts, and SLAs; continuously improve performance and reliability