Data Engineer II - Databricks

Deloitte • Washington, DC

4d • $84,400 - $140,600

About The Position

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. The role focuses on building scalable data pipelines, improving data quality, and supporting modern data platform capabilities across client and business needs. The successful candidate will bring data engineering experience, strong problem-solving skills, and the ability to work across teams in a dynamic environment.

The role is part of the Data Engineering team, which designs and delivers solutions to modernize data platforms and enable analytics, automation, and business insight. The team works across data ingestion, transformation, storage, quality, and delivery, collaborating with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions. The position is available in Baltimore, Maryland; McLean, Virginia; Richmond, Virginia; Rosslyn, Virginia; and Washington, District of Columbia. Travel averages 10%, depending on the work, clients, and industries served. Candidates must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment, and must be legally authorized to work in the United States without current or future employer sponsorship.

The stated salary range is $84,400 to $140,600. The candidate may also be eligible to participate in a discretionary annual incentive program, subject to its governing rules and relevant performance factors.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
• At least 3 years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows.
• At least 3 years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation.
• At least 1 year of experience developing and deploying solutions on the Databricks platform.
• At least 1 year of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability.
• Ability to travel an average of 10%, depending on the work, clients, and industries served.
• Active U.S. Secret security clearance and ability to maintain it for the duration of employment and assignment.
• Legal authorization to work in the United States without the need for employer sponsorship, now or in the future.
• Ability to work independently and collaboratively 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, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.

Nice To Haves

• Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
• At least 1 year of experience with workflow orchestration tools such as Apache Airflow.
• At least 1 year of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift.
• At least 1 year of experience with version control and continuous integration tools.
• At least 1 year of experience supporting data quality, metadata, and data lineage processes.
• At least 1 year 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 for 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.
• Monitor data pipelines, troubleshoot issues, and support data quality and system reliability.

Benefits

• Broad range of employee benefits (specific benefits are not detailed in the posting).
• Potential eligibility for a discretionary annual incentive program.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level