Catapult Federal Services · 2 months ago
Data Automation Engineer
Catapult Federal Services is a long-standing organization that supports large-scale technology, analytics, and operational initiatives across enterprise environments. They are seeking a Data Automation Engineer to design and implement innovative data automation solutions for Azure cloud-based platforms, focusing on enhancing data quality and performance while collaborating with a team of experts.
Information Technology & Services
Responsibilities
Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines
Continuously improve and optimize the automation toolset for reliability, scalability, and adaptability
Research and implement cutting-edge AI/ML and GenAI tools to rapidly develop intelligent applications, scripts, and ETL pipelines that automate data processes, and proactively eliminate workflow bottlenecks
Work closely with implementation specialists, engineering teams, and customer to understand data driven needs and build solutions that address real operational challenges
Work closely with client personnel and team members to understand data requirements and develop appropriate data solutions
Identify, create, prepare data required for advanced analytics, visualization, reporting, and AI/ML
Implement data migration, data integrity, data quality, metadata management, and data security functions to optimize data pipelines
Monitor and troubleshoot data related issues to maintain high availability and performance
Actively support Agile DevOps process, including Program Increment planning
Actively engage in continuous learning to increase relevant skills
Maintain strict versioning and configuration control to ensure integrity of data
Qualification
Required
BS degree in Computer Science or related field and 2+ years of experience in relevant field
2+ years of experience with more than one of the follow scripting languages: SQL, T-SQL, MDX/DAX, Python, and PySpark
Experience designing and building ETL/data engineering solutions, schedule and monitor utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime
Experience working with Microsoft database and business intelligence tools, including SQL Server, including stored procedures, SSIS, SSRS, SSAS (cubes), and Power BI
Experience with data automation using Azure/AWS CLI tools with Bash or PowerShell scripting
Familiarity with Azure DevOps Repos or GitHub and pipeline versioning/release management
Demonstrated experience in supporting production, testing, integration, and development environments
Open mindset, ability to quickly adapt new technologies to solve customer problems
Experience in Agile projects, working with a multi-functional team
Must be detail oriented, and able to support multiple projects and tasks
Demonstrate continuous learning to increase relevant skills
US Citizenship and ability to successfully obtain a government-issued Public Trust clearance
Preferred
Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery
Microsoft certification in Azure fundamentals, data engineer, Power BI, AI or AWS certified data engineer
Integration knowledge using enterprise/open source ETL toolsets, REST API, Docker
Experience or exposure to performance fine tuning (indexing, execution plans, views), data profiling and query analytics
Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors
Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls
Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, etc
Company
Catapult Federal Services
Catapult Federal Services is headquartered in Plano, TX, with its primary business operations office located in the greater Washington, D.C. area.
Funding
Current Stage
Growth StageCompany data provided by crunchbase