Data Engineer II

Deloitte France; Washington (District of Columbia); On-site; USD 110,000 - 170,000; Full time

Job summary

Deloitte France is seeking a Data Engineer III to design, develop, and deliver data solutions that enable analytics and business decision-making. You will build scalable data pipelines, improve data quality, and support modern data platform capabilities across client and internal needs.

The role requires experience with SQL, Python, PySpark, and cloud-based data technologies, plus the ability to work across teams in a dynamic environment. AU.S. work authorization is assumed for this posting.

Qualifications

• Bachelor’s degree in a technical field or related discipline.
• 5+ years designing and maintaining data pipelines and ETL/ELT workflows.
• 3+ years using SQL, Python, PySpark for data ingestion/transformation.
• 1+ year monitoring pipelines, troubleshooting, and ensuring data quality.
• Willingness to travel ~10% depending on client engagements.
• Active U.S. Security clearance and ability to maintain it.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Design, build, test, and maintain scalable data pipelines and workflows for ingestion, transformation, and delivery of data.
• Develop and optimize data models and storage to support analytics, reporting, and operational needs.
• Collaborate with stakeholders to define data requirements and implement data quality controls.
• Build and support batch and near real-time processing using cloud and distributed technologies.
• Document designs, data lineage, deployment processes, and support testing, release, and production stabilization.

Skills

Independent work

Team collaboration

Communication

Attention to detail

Relationship building

Project leadership

Task prioritization

Professional demeanor

Meeting deadlines

Providing guidance

Education

Bachelor's degree

Master's degree (preferred)

Tools

SQL

Python

PySpark

Airflow

Snowflake

Databricks

Redshift

Version control

CI/CD tools

Job description

Deloitte is seeking a Data Engineer III to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role will focus on building scalable data pipelines, improving data quality, and supporting modern data platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment.

Work you'll do

As a Data Engineer III on the Data Engineering team, you will be responsible for…

• Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data
• Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases
• Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls
• Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies
• Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

You will join a team that designs and delivers data engineering solutions that help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 5+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
• 3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
• 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 1+ years of experience with workflow orchestration tools such as Apache Airflow
• 1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
• 1+ years of experience with version control and continuous integration tools