Data DevOps Engineer

Job Description

Job Description

Data DevOps Engineer (Automation, Glue, Lambda, EMR, LakeFormation)

Project Name

Shared Data Platform (SDP)

Client

State of Maryland

Agency

Maryland Benefits

Location

100% On-site Mon-Fri, Linthicum Heights, MD 21090

Interview Type

In-Person

Contract Duration

1 year with 9 one-year renewal options

Tentative Start Date

10 / 01 / 2025

Deadline

09 / 18 / 2025

Project Overview :

Innosoft is the prime contractor for MD Benefits (formerly MD THINK), supporting the management, design, development, testing, and implementation of this strategic Information Technology (IT) program. Maryland Benefits is seeking an agile development resource team with required skill sets to build and / or maintain the Maryland Benefits infrastructure / platform, applications development, data repositories, reports and dashboards and support activities related to network services and system operations.

The Shared Data Platform (SDP) is designed as a cloud-based, data-centric infrastructure to support scalable, flexible, and integrated data operations. It empowers self-service and accelerates data-driven decision-making across the enterprise. Key strategic goals include establishing a mature data infrastructure that balances analytics and business intelligence, enabling iterative learning and actionable insights, and fostering a "Data Center of Excellence" (DCoE) to govern and enhance data-driven processes. The SDP also prioritizes the delivery of trusted information and the streamlined onboarding of State Agencies to the Maryland Benefits platform through standardized procedures, ultimately driving operational efficiency and measurable business value. The "Data Platform - Automation" team plays a critical role in achieving these goals by supporting the "Data Platform - Engineering" team.

Duties / Responsibilities :

• Develops, maintains and optimizes the software development environment. Responsible for infrastructure, build, integration and software deployment process. Creates email accounts and provides system access. The candidate should know scripting languages such as Ruby and Python.
• Develop and manage automated workflows using AWS Glue (Jobs, Crawlers, Workflows) and Step Functions.
• Build serverless and event-driven data processing using AWS Lambda, S3 events, and SNS / SQS.
• Automate ingestion, transformation, and publishing of structured and unstructured data to S3 and Redshift / Snowflake.
• Provision and manage infrastructure using Terraform, CloudFormation, or AWS CDK.
• Develop and maintain CI / CD pipelines for data infrastructure and Glue / Lambda jobs using tools like CodePipeline, CodeBuild, or GitHub Actions.
• Implement automated testing, version control, and deployment strategies for data assets.
• Monitor performance and reliability of data workflows using CloudWatch, Glue metrics, and custom logging.
• Troubleshoot and resolve issues related to data quality, pipeline failures, performance bottlenecks, and job failures.
• Ensure platform uptime, cost optimization, and performance tuning for EMR clusters and data jobs.
• Configure AWS Lake Formation to enforce data access controls and governance policies.
• Implement data encryption, row-level and column-level security, and fine-grained access controls.
• Ensure compliance with organizational security standards and data privacy regulations.
• Collaborate with Data Architects, Engineers, and Analysts to support data onboarding and consumption.
• Document workflows, automation scripts, and architectural patterns.
• Drive adoption of DevOps best practices for data, including observability, scalability, and repeatability.

Requirements

Education :

This position requires a bachelor’s degree in area of specialty.

General Experience :

Specialized Experience :

Benefits

Standard Employee Benefits.

50% Health Insurance Paid by Innosoft, Paid Vacation, 401K Match, STD LTD and AD&D paid by Innosoft. See attached Innosoft Benefits Guide.