Mid-Level Programmer Analyst
Boeing
AWSCloudJavaLinuxOracleShell ScriptingSQLUnix
Data Developer, Architect
Initiate Government Solutions, LLC.
full-time
Posted on:
Location Type: Hybrid
Location: District of Columbia, Washington • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAWSAzureCloudDynamoDBETLMongoDBPostgresPythonSparkSQL
About the role
- Designing, building, and optimizing data systems and solutions that support VA Health Connect’s mission
- Architecting robust data pipelines, integrating diverse data sources, and ensuring the scalability, security, and reliability of data platforms
- Collaborating with project managers, delivery teams, and clients to deliver high-quality data infrastructure, enable advanced analytics, and support data-driven decision-making across the organization
- Designing, developing, and maintaining scalable data architectures and pipelines using both traditional and AWS cloud-native services (e.g., RDS, Aurora, DynamoDB, Redshift, Glue, EMR, Lambda, S3, Athena)
- Integrating data from multiple healthcare and call center systems, ensuring seamless data flow, interoperability, and optimized AWS ETL pipelines
- Building, optimizing, and managing ETL (Extract, Transform, Load) processes leveraging AWS Glue, Step Functions, and Lambda for efficient data ingestion, transformation, and storage
- Developing, configuring, and maintaining databases, AWS data warehouses, and data lakes (e.g., Redshift, S3, Lake Formation), ensuring data integrity, security, and performance
- Implementing and enforcing data governance, quality assurance, and compliance standards across all data platforms, including cloud-based systems
- Collaborating with analysts and business stakeholders to define data requirements and deliver solutions that enable reporting and analytics, including BI integration with AWS QuickSight or external visualization platforms
- Developing and deploying APIs and secure data services to enable cross-platform access to enterprise data assets
- Monitoring, troubleshooting, and resolving data-related issues, proactively identifying opportunities for cloud cost optimization and performance improvements
- Documenting data architecture, data flows, technical specifications, and cloud environment configurations
- Staying current with emerging technologies and best practices in cloud data engineering, AWS services, and advanced analytics
- Participating in project meetings, workshops, and stakeholder presentations as a technical subject matter expert
- Providing technical leadership and mentorship to junior engineers, fostering collaboration, knowledge sharing, and adherence to best practices
- Leading or contributing to strategic data initiatives, ensuring project delivery aligns with organizational objectives and timelines
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
- 3–10 years of experience in data architecture, data engineering, database development, or similar technical roles
- Strong experience with relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB, Amazon RDS, Aurora, DynamoDB, Redshift)
- Proficiency in data pipeline development using tools such as SQL, Python, Spark, or AWS Glue, Lambda, EMR
- Experience with cloud data platforms (AWS, Azure, or Google Cloud) and enterprise-scale data warehousing solutions
- Knowledge of data modeling, data integration, and API development
- Familiarity with data governance, security, and compliance standards in healthcare or regulated environments
- Demonstrated leadership or team lead experience with responsibility for guiding engineers, delegating work, and driving technical decisions
- Excellent problem-solving, organizational, and multitasking skills
- Strong verbal and written communication abilities, including technical documentation
- Excellent communication skills and attention to detail
- Ability to obtain and maintain a Public Trust
Benefits
- comprehensive medical, dental, and vision care
- matching 401K and profit sharing
- paid time off
- training time for personal development
- flexible spending accounts
- employer-paid life insurance
- employer-paid short and long term disability coverage
- education assistance program with potential merit increases for obtaining a work-related certification
- employee recognition and referral programs
- spot bonuses
- other benefits that help provide financial protection for the employee and their family
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata engineeringdatabase developmentETLdata pipeline developmentdata modelingAPI developmentcloud data platformsdata integrationdata governance
Soft skills
leadershipproblem-solvingorganizational skillsmultitaskingcommunicationtechnical documentationcollaborationmentorshipattention to detailstakeholder engagement
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data Engineering
