Data Scientist/Engineer and Application Developer
About The Position
Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions for 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 Data Engineer II works on the Data Engineering team to build and maintain data pipelines and workflows, develop data models and integration patterns, and collaborate with stakeholders on requirements, troubleshooting, and data quality. The role also partners directly with government stakeholders to clarify business problems and translate needs into practical, secure, user-centered solutions. It designs, builds, enhances, and maintains solutions across Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and SharePoint. The team delivers data engineering solutions 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. The position may be based in Baltimore, Maryland; McLean, Virginia; Richmond, Virginia; Rosslyn, Virginia; or Washington, District of Columbia, and involves an average of 10% travel.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
- At least 2 years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows.
- At least 2 years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation.
- At least 1 year of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability.
- At least 1 year of experience with Power Platform development across Power Apps, Power Automate, Power BI, and SharePoint.
- Ability to travel an average of 10%, depending on work, clients, and industries or sectors served.
- Active U.S. Secret security clearance and ability to maintain it for the duration of employment and assignment.
- Legally authorized to work in the United States without employer sponsorship, now or in the future.
- Ability to work independently and collaboratively, communicate effectively in writing and verbally, and maintain professional relationships.
- Meticulous attention to detail and quality of work product; strong interpersonal skills and professional demeanor.
- Ability to lead projects or workstreams, prioritize multiple tasks in a fast-paced and dynamic environment, meet deadlines, and 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 using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling.
- 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.
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.
- Partner with government stakeholders to clarify ambiguous business problems, identify root causes, and translate needs into practical, secure, user-centered solutions.
- Design, build, enhance, and maintain solutions across Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and SharePoint.
- Monitor data pipelines, troubleshoot issues, and support data quality and system reliability.
- Lead projects or workstreams, provide clear guidance to others, and manage multiple tasks and deadlines.
Benefits
- Employees are offered a broad range of benefits.
- Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
