Cleared Data Engineer
AWS
Aws Data Warehouse
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Storage
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databricks
Engineer
ETL
Security
Spark
SQL
Job Description
Accenture Federal Services is seeking a Cleared Data Engineer in Washington, DC to design, build, and maintain scalable, end-to-end data pipelines and cloud-native data solutions. In this onsite role, you will help connect and operationalize data from multiple sources while supporting reliable data integration, transformation, and monitoring for analytics and reporting.
This position requires an active Top Secret or TS/SCI clearance (including TS/SCI with polygraph), as you will contribute to secure, governed data engineering efforts within a federal environment.
What you’ll do
- Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
- Create efficient data processing and transformation workflows for analytics and reporting needs.
- Integrate diverse data sources, including APIs, databases, and cloud storage, into unified datasets.
- Collaborate with cross-functional teams including data science, analytics, and business units to implement solutions aligned to business goals.
- Implement robust validation, monitoring, and observability processes to support data accuracy, completeness, and reliability.
- Contribute to data governance, security, and automation initiatives across the data ecosystem.
- Use AWS services such as S3, Glue, Lambda, and Redshift to build and deploy data solutions in a cloud-native environment.
What you bring
- Experience with cloud-based ETL services such as AWS Glue, Google Cloud Dataflow, or Azure Data Factory.
- Experience with cloud data warehousing technologies including Amazon Redshift, Google BigQuery, or Snowflake.
- Programming experience with Python, SQL, Spark, and PySpark.
- Experience with data platforms such as Databricks, Palantir, and Snowflake.
- Familiarity with data orchestration and data quality processes.
- Active Top Secret or TS/SCI clearance, or TS/SCI with polygraph.
Technologies you may work with
- Databricks, Spark, Python, SQL, PySpark
- AWS: S3, Glue, Lambda, Redshift
- AWS Glue, Google Cloud Dataflow, Azure Data Factory
- Amazon Redshift, Google BigQuery, Snowflake, Palantir
- Docker/Kubernetes, Hadoop/Spark, NiFi, ELK stack, ElasticSearch
Bonus points if you have
- Experience working with federal clients.
- Experience with Docker/Kubernetes, Hadoop/Spark, NiFi, ELK stack.
- Experience with Agile / Scrum.
- Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi.
- Data engineering certifications such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar.
Location
- Washington, DC (in person)
Compensation
- USD 93,400 - 176,200 per year
Benefits
- 401(k)
- Dental insurance
- Parental leave
Similar Jobs
