Analytica
Posted 68 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
Clearance requiredU.S. government
DatabricksApache SparkPySparkPythonSQLAWS S3AWS IAMAWS CloudWatchAWS GlueAWS AthenaAWS RedshiftETL developmentELT developmentData pipeline designCI/CD pipelinesGitHub ActionsTerraform
Job description
Summary
Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking a Databricks Data Engineer to develop, deploy, and maintain secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem.
Responsibilities
- Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes
- Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses
- Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls
- Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability
- Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles
- Participate in platform incident response, troubleshooting, and operational support activities
Skills
- Minimum of 3 years of experience in data engineering, cloud engineering, or platform operations
- Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions
- Proficiency in Python, SQL, and data engineering concepts
- Experience with Databricks, Apache Spark, PySpark, or similar big data technologies
- Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift
- Knowledge of ETL/ELT development and data pipeline design
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- Ability to obtain or maintain an Active MBI Clearance
- AWS, Databricks, or cloud-related certifications preferred
Qualifications
Must Haves
- Minimum of 3 years of experience in data engineering, cloud engineering, or platform operations
- Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions
- Proficiency in Python, SQL, and data engineering concepts
- Experience with Databricks, Apache Spark, PySpark, or similar big data technologies
- Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift
- Knowledge of ETL/ELT development and data pipeline design
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- Ability to obtain or maintain an Active MBI Clearance
Nice to Haves
- AWS, Databricks, or cloud-related certifications preferred
Benefits
- Opportunities for bonuses
- Employer-paid health care
- Training and development funds
- 401k match
