Deloitte
Data Engineer II
McLean, Virginia · Mid
No sponsorship$84k-$141kDetected 2 days ago
PythonSQLSnowflakeRedshiftDatabricksCI/CDAirflowData EngineeringData ScienceAI OrchestrationAgileCommunicationProblem Solving
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odds of building a lasting career here
26Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
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About the role
- The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment.
- The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products.
- The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
Requirements
- 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
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Nice to have
- 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
Skills
- 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
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- 3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
- 1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
- 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
Compensation
- $84k-$141k
Company info
- 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.
- Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Visa & Work Authorization
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
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This listing is sourced directly from Deloitte's careers page and normalized into a canonical job model.