Job description

Deloitte is seeking a Data Engineer II 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 II 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 • 3+ 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 developing and deploying solutions on the Databricks platform • 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 • 1+ years of experience supporting data quality, metadata, and data lineage processes • 1+ years of experience working in Agile delivery environments The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,400 to $140,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Work you'll do
As a Data Engineer II 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
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
3+ 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 developing and deploying solutions on the Databricks platform
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.

Nice-to-haves

Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonagile

Platform: avature
Effort: medium