Data Engineering, Management, & Governance Specialist - Finance

Accenture PLC; Chicago (IL); On-site; USD 59,000 - 178,000; Full time

Job summary

Accenture is seeking a Data Engineering professional to build data ingestion, transformation, and governance solutions across cloud and Big Data platforms. You will design scalable pipelines, validate outputs against source totals, and deploy production-ready data solutions using CI/CD and cloud architectures.

Travel may be required depending on client needs. Qualified candidates have 3+ years of hands-on Cloud/Big Data, Python/SQL/Node.js, and experience with data governance and data quality

Qualifications

• Minimum 3 years hands-on experience with cloud and big data tech (serverless processing, Spark, batch/streaming).
• Proficiency in Python, SQL, and Node.js.
• ,

Responsibilities

• Apply data engineering principles to create reusable data ingestion/workflows.
• Build, test, and deploy scalable data pipelines using ETL tools and validate outputs.
• Design and document technical designs and requirements.

Skills

Cloud & Big Data

Spark & SparkSQL

ETL Pipelines

Python

SQL

Node.js

DevOps CI/CD

Education

Bachelor's degree or equivalent

Tools

CI/CD tools

Job description

We Are:

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.

You Are:

As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines.

Position Responsibilities:

• Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization.

• Design, Build and test scalable data pipelines using extract, transform, and load tools, including validating outputs against source totals (e.g., financial balances, transaction counts).

• Document requirements and technical design documents.

• Deploy solutions to production environments using CICD dev ops and cloud architecture principles.

• Migrate data from legacy data warehouses using cloud architecture principles

• Automate the flow of data for consumption.

• Build business processes that enable data governance (e.g., stewardship of financial, customer, or product master data).

• Design and advise on data quality rules and set up effective data compliance policies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s what you need:

• Minimum of 3 years of hands‑on experience on Cloud and Big Data technologies such as serverless data processing, Spark/SparkSQL, batch and streaming services, event-driven data pipelines, cloud databases, and programming languages such as Python, SQL, and Node.js

• Minimum 3 years of experience in following:

• • Cloud data storage, data management and data services

• • Data supply chain including streaming pipelines to help address the challenges of acquiring data, evaluating its value, distilling & analyzing.
  • Examine data from multiple sources, and share insights which provide competitive advantage

• Minimum 2 years of experience with:

• • Devops and CI/CD processes

• • Scheduling and orchestration

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

Bonus points if you have:

• Experience in large-scale data integration and data warehouse solutions

• Ability to lead and effectively facilitate design sessions with business customers and the BI team to derive data requirements and data design information

• Cloud (e.g. AWS) data path certifications

• Business acumen and domain knowledge (e.g., Finance, Supply Chain, Sales) to catch nuances in the meaning of the data, collaborate with cross-functional teams to better understand their areas of expertise, and communicate effectively with their leadership teams.

• A good understanding of governance and security best practices as well as their organization’s policies, procedures, and protocols to maintain the required regulatory and privacy compliance.

• Basic knowledge of machine learning (ML) and models and statistical analysis to better collaborate with data scientists and business leaders

• Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains

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 as set forth below. We anticipate this job posting will be posted until 12/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Annual Salary Range
California $70,350 to $205,800
Colorado $63,800 to $177,800
Connecticut $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maine $54,400 to $151,400
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York $66,300 to $205,800
New Jersey $68,000 to $205,800
Ohio $59,100 to $164,600
Virginia $59,100 to $189,300
Washington $80,200 to $189,300

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