Data Platform Engineer — Cloud, Delta Lake & Analytics

Softek International; Springfield (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Softek International is seeking a DB/ETL specialist to maintain and extend enterprise data environments. You will design and tune relational and NoSQL databases, support ETL/ELT pipelines, and manage data governance across platforms including Databricks and AWS.

Responsibilities include schema design, data migrations, data quality, and high-availability strategies to keep analytics outputs robust and scalable for business insights.

Qualifications

• Experience with relational and NoSQL databases.
• Strong knowledge of data engineering concepts.
• Experience with ETL/ELT pipelines and data governance.

Responsibilities

• Support database administration functions, including designing and implementing modifications and enhancements to forms, menus, reports, and database applications.
• Maintain enterprise data environments and databases, including ETL/ELT pipelines, feature stores, ontologies, lineage repositories, and analytics outputs.
• Perform database integrity checks, performance tuning, backup, recovery, replication, and high-availability support.
• Implement data standardization, validation, and cleansing processes throughout design, development, deployment, and sustainment.
• Databricks: Delta Lake, Unity Catalog (permissions, ABAC/RBAC), SQL Warehouses
• AWS: S3, IAM, KMS, CloudWatch, AWS Backup
• Database performance tuning, backup and recovery, replication, and high availability
• Schema design, data migration, and ETL/ELT pipeline maintenance

Skills

PostgreSQL

Amazon Aurora/RDS

DynamoDB

Tools

Databricks

Delta Lake

Unity Catalog

SQL Warehouses

AWS S3

IAM

KMS

CloudWatch

AWS Backup

Job description

Softek International is seeking a DB/ETL specialist to maintain and extend enterprise data environments. You will design and tune relational and NoSQL databases, support ETL/ELT pipelines, and manage data governance across platforms including Databricks and AWS.

Responsibilities include schema design, data migrations, data quality, and high-availability strategies to keep analytics outputs robust and scalable for business insights.