Easter Seals Jobs

We Are

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and, Interactive, Technology, and Operations services, all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com.

This is the beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

Role Summary

We are seeking a highly skilled Python Data Engineer with hands-on experience in designing, building, and scaling data platforms and products using modern cloud technologies. This role requires an individual with expertise in full-stack python development, cloud data platforms (e.g, AWS Redshift, GCP BigQuery, Microsoft Fabric, Snowflake, Databricks) and knowledge of modern data modeling and storage formats (e.g., Parquet, Iceberg, JSON, SQL, and others).

The ideal candidate will also have experience in AI and Generative AI frameworks and technologies, supporting the data requirements for advanced ML and Generative AI capabilities.

Responsibilities

• Design, develop, and deploy high-performance Python-based data pipelines for structured, semi-structured, and unstructured data.

• Implement data processing solutions with batch, real-time, and event-driven data processing frameworks.

• Enforce data integrity, lineage, and observability by developing resilient and maintainable code.

• Adopt and implement modern data architecture principles (e.g., data mesh, knowledge graphs, and ontologies).

• Partner with data scientists, Generative AI engineers, and ML engineers to deploy AI-ready datasets.

• Work in Agile/Scrum teams, contributing to code reviews, documentation, and DevOps processes.

• Participate in agile development processes, using tools like Git and Jira to manage workflows and sprints.

• Ensure the security and compliance of data products through the implementation of appropriate controls.

Professional Skills Requirements:

• Minimum 7 years of experience in Python and modern data engineering solutions.

• Core Python skills: Proficiency in Python programming language (asyncio, multiprocessing, OOP, functional programming); including experience with Python data libraries (Pandas, NumPy, PyArrow, Dask) and a proven ability to write efficient, scalable, and maintainable code.

• Modern Data Engineering skills: Proficiency in building data-ingestion and data-processing/curation frameworks; including batch, streaming, and event-driven data pipelines (e.g., using Spark, Kafka, Flink, DBT, and other modern ETL/ETL tools and frameworks)

• Minimum 7 years of experience launching cloud data products on AWS (Glue, Lambda, S3, Redshift, Athena), GCP (BigQuery, Dataflow), Snowflake, Databricks, and/or Azure (Fabric, Data Factory).

• Minimum 5 years of knowledge of modern data architectures (data mesh, knowledge graph, and ontology principles).

• Minimum 5 years of industry experience in Financial Services or Resources Client Group (Energy, Utilities, Chemicals & Natural Resources) or Communication Media and Technology (CMT) or Healthcare and Public Services or products

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Preferred (Nice-to-Have) Skills

• Experience working with LLMs, vector databases, tokenization, and embeddings.

• Familiarity with MLOps tools and workflows such as MLFlow, Kubeflow, or Airflow.

• Experience with DevOps practices, including CI/CD pipelines, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).

• Experience with building data products for specific industries such as healthcare, retail, finance, etc.

• Industry-Specific Use Cases: Experience with Generative AI use cases for specific industries such as healthcare, retail, finance, high tech, energy, etc.

• Cross-Functional Collaboration: Proven ability to collaborate in cross-functional teams, using tools like Git, Jira, and agile methodologies.

• Ability to stay updated with the latest advancements in data engineering, AI, and Generative AI technologies and apply them to practical use cases.

• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

• Strong communication skills, both written and verbal, to effectively collaborate with team members and stakeholders.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $94,400 to $293,800

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Minnesota $94,400 to $253,800

Maryland $87,400 to $235,000

New York $87,400 to $293,800

Washington $100,500 to $270,300

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

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.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture 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 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 would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or 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 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.