Senior Data Migration Engineer (Top Secret)

Zachary Piper

Huntsville, AL, United States

5 days ago

Apply on www.clearancejobs.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$155,000.0 - $175,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Agile Methodology Amazon Web Services Data Analysis Apache HTTP Server Bash Shell Batch Processing Big Data Cloud Computing Continuous Integration Data Validation Data Cleansing Information Engineering

+57 more

Data Governance Data Integration Extract Transform Load (ETL) Data Mapping Data Transformation Data Migration Data Security Data Warehousing Relational Databases DevOps Apache Hadoop Python (Programming Language) Machine Learning Meta-Data Management NoSQL Performance Tuning Windows PowerShell Scrum Methodology Query Optimization Power BI Cloud Services Migration Manager Ansible Scala (Programming Language) SQL Databases Data Streaming Transact-SQL Enterprise Data Management Azure Data Factory System Availability Snowflake Apache Spark Change Data Capture Infrastructure as Code (IaC) Git Microsoft Fabric Data Lakes Pyspark Kubernetes Data Lineage AWS Glue Google Bigquery Apache Kafka Apache Nifi Data Management Data Lakehouse Cloud Migration Restful APIs Terraform Stream Processing Azure Synapse Analytics Software Version Control Data Pipelines Devsecops Docker Amazon Redshift Databricks

Job description

Design, develop, and maintain scalable ETL/ELT pipelines to support large-scale data migration initiatives.
Build and optimize extraction, transformation, and loading processes for structured and unstructured data sources.
Develop automated workflows that maximize performance, reliability, scalability, and error recovery.
Ensure pipeline architectures align with cloud modernization strategies and landing zone standards.
Collaborate with Cloud Engineers, Data Engineers, DevSecOps teams, DBAs, QA/Test Engineers, and Product Owners to support migration objectives.
Ensure seamless integration of ETL processes with cloud infrastructure, data models, monitoring platforms, and downstream applications.
Develop and maintain technical documentation, including data mappings, workflow diagrams, transformation specifications, SOPs, and issue logs.

Requirements

Bachelor’s degree in a related discipline and 8+ years of data engineering, ETL development, and large scale migrations
Active Top Secret clearance
Strong experience with ETL tools, automation frameworks (Python, Powershell, Bash), and high volume data pipelines.
Experience with legacy system extraction, cloud ingestion, and multi format data transformation
Ability to operate in a fast past environment
Experience operating ETL pipelines within AWS or other cloud environment, Keywords: Data Engineering, ETL Development, ELT Architecture, Data Pipelines, Data Integration, Data Migration, Data Warehousing, Data Modeling, Data Transformation, Data Validation, Data Quality Management, Data Governance, Big Data, Cloud Data Platforms, Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric, Top secret, ts/sci, polygraph, Federal, Intelligence, Government, W2, opentowork, hiring, Apache, NIFI, python, ansible, terraform, Databricks, Apache Spark, Hadoop, Kafka, Snowflake, AWS Glue, Amazon Redshift, Google BigQuery, SQL, T-SQL, Python, PySpark, Scala, API Integration, REST APIs, Batch Processing, Real-Time Data Processing, Streaming Data, CI/CD Pipelines, DevOps, DevSecOps, Workflow Automation, Performance Tuning, Query Optimization, Data Lake Architecture, Data Lakehouse, Metadata Management, Master Data Management (MDM), Database Administration, Relational Databases, NoSQL Databases, Data Security, Data Encryption, Monitoring and Alerting, Root Cause Analysis, Troubleshooting, Error Handling, Scalability, High Availability, Migration Planning, Cloud Modernization, Data Reconciliation, Data Lineage, Data Mapping, Change Data Capture (CDC), Agile Methodologies, Scrum, Technical Documentation, Cross-Functional Collaboration, Business Intelligence, Power BI, Reporting and Analytics, Machine Learning Data Preparation, Infrastructure as Code (IaC), Terraform, Git, Version Control, Kubernetes, Docker, Enterprise Data Solutions.

Benefits & conditions

Total compensation based on experience level - $155,000-$175,000+ based on experience level and total years of experience
Full Benefits: PTO/Holidays, Medical, Dental, and Vision, 401k
Brand-new, long term contract