Data Engineer
United States of America
Full Time
2 hours ago
$93,000 - $176,000 USD
No H1B
Key skills
PythonSQLETLData EngineeringData WarehousingAnalyticsSnowflakeBigQueryRedshiftDatabricksSparkHadoopAWSAzureGoogle CloudKubernetesDockerLambdaS3GlueCloud StorageElasticsearchELK StackAgileScrum
About this role
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve the lives of citizens. They are seeking a Data Engineer to design and maintain data pipelines, develop transformation workflows, and integrate various data sources to support analytics and reporting needs.
Responsibilities:
- Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies
- Develop efficient data processing and transformation workflows to support analytics and reporting needs
- Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets
- Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals
- Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability
- Contribute to data governance, security, and automation initiatives within the data ecosystem
- Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment
Requirements:
- Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
- Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
- Experience with Python, SQL, Spark, and PySpark
- Experience with data platforms like Databricks, Palantir, and Snowflake
- Familiarity with data orchestration and data quality processes
- Must be a US Citizen
- Secret clearance or above
- Experience working with federal clients
- Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
- Experience with Agile / Scrum
- Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar