Data Engineering Team Lead — Design & Mentor Pipelines
Accenture Federal Services
Arlington (VA)
On-site
USD 160,700 - 306,500
Full time
14 days+
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Job summary
Accenture Federal Services is seeking a Data Engineer Team Lead in Arlington, VA. In this role, you will lead a team of engineers responsible for building and maintaining data pipelines, driving innovation through governance and automation. The ideal candidate should have 10+ years of experience in data engineering, expert proficiency in Python, SQL, and SQL-based platforms. A background in cloud platforms like AWS or Azure is required, along with active US citizenship. This position offers an excellent opportunity to work within a leading technology company ensuring governmental efficiency and innovation.
Qualifications
10+ years of experience in data engineering or software engineering.
Expert-level proficiency with Python, SQL, Spark or PySpark.
Deep experience with cloud data platforms (e.g., AWS or Azure).
Demonstrated experience leading projects.
Responsibilities
Lead, mentor, and manage a team of data engineers on new pipeline development.
Drive the technical strategy for the data pipeline ecosystem.
Ensure stability, scalability, and efficiency of data pipelines.
Collaborate with architecture team on best practices.
Skills
Python
SQL
Spark
PySpark
AWS
Azure
Databricks
Palantir
Snowflake
Tools
Databricks Delta Live Tables
Terraform
Airflow
Kafka
Docker
Kubernetes
Job description
Accenture Federal Services is seeking a Data Engineer Team Lead in Arlington, VA. In this role, you will lead a team of engineers responsible for building and maintaining data pipelines, driving innovation through governance and automation. The ideal candidate should have 10+ years of experience in data engineering, expert proficiency in Python, SQL, and SQL-based platforms. A background in cloud platforms like AWS or Azure is required, along with active US citizenship. This position offers an excellent opportunity to work within a leading technology company ensuring governmental efficiency and innovation.