Data Engineer II

Deloitte•Washington, DC

1d•$107,700 - $179,500•Onsite

About The Position

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. 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 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.

Requirements

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
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.

Nice To Haves

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
1+ years of experience supporting data quality, metadata, and data lineage processes
1+ years of experience working in Agile delivery environments

Responsibilities

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