RIT Solutions, Inc. · 2 months ago
Software Engineer 3 (Data focus)
Denver, CO
Full-time
Onsite
Senior Level
5+ years expRIT Solutions, Inc. is seeking a Software Engineer 3 with a focus on data. This role is responsible for designing, developing, and supporting software applications and data services that deliver scalable and reliable business solutions, particularly within an AWS serverless environment.
Staffing & Recruiting
Responsibilities
Designs, develops, and supports software applications and data-driven services using programming and scripting languages within an AWS serverless environment (Lambda, API Gateway, S3, DynamoDB, Glue, Athena, Step Functions)
Develops and maintains software solutions that integrate data ingestion, transformation, and curation processes to support both operational and analytical applications
Codes new software components, performs unit and functional testing, and partners with Quality Assurance to validate and remediate issues in released applications and services
Leads design and technical discussions with architects and peers to define system architecture, module interactions, and data flows for new and existing solutions
Documents system functionality, design decisions, data models, and test plans to ensure traceability, maintainability, and clarity across development teams
Works with leadership to establish coding standards, code review practices, and design guidelines aligned with enterprise development policies
Collaborates with infrastructure and DevOps teams to ensure software deployments, CI/CD pipelines, and data workflows are stable, secure, and optimized
Partners with end users and product teams to validate data quality, ensure application reliability, and confirm that solutions meet business requirements
May serve as Scrum Master or sprint facilitator within agile development teams
Provides technical mentorship to junior engineers, sharing best practices for software design, data integration, and automation
Researches, evaluates, and implements emerging technologies to enhance software performance, scalability, and maintainability
Presents technical concepts and solutions to leadership and stakeholders in clear, concise formats
Participates in other projects or duties as assigned
Designs, develops, and supports software applications and data-driven services using programming and scripting languages within an AWS serverless environment (Lambda, API Gateway, S3, DynamoDB, Glue, Athena, Step Functions)
Develops and maintains software solutions that integrate data ingestion, transformation, and curation processes to support both operational and analytical applications
Qualification
Required
Expert-level proficiency in designing, developing, and implementing data engineering solutions within the AWS cloud ecosystem, including Lambda (Python), API Gateway, and S3 for large-scale data processing and transformation
Deep experience in building and optimizing data pipelines (ETL/ELT) using AWS services such as Glue, Athena, Step Functions, and DynamoDB, enabling scalable ingestion, cleansing, and integration of diverse datasets
Demonstrated ability to perform complex data analysis to identify trends, anomalies, and opportunities, and to materialize analytical findings into engineered solutions that drive measurable business impact
Advanced expertise in data modeling, schema design, and query optimization for both NoSQL (DynamoDB) and relational systems (SQL Server via pymssql), ensuring performance and reliability in analytical workloads
Skilled in developing analytics-ready datasets and enabling data-driven decision-making through integration with QuickSight, Athena, and downstream analytics environments
Proven experience implementing monitoring, observability, and performance tuning for data systems using CloudWatch, log aggregation tools, and event-driven frameworks
Strong understanding of data governance, quality assurance, and compliance, including HIPAA, PHI, and PII standards, ensuring security and trust in all data handling processes
Demonstrates mastery in test-driven data development (TDDD), implementing automated validation and regression frameworks to ensure the accuracy and integrity of data solutions
Advanced proficiency with CI/CD pipelines, infrastructure as code (IaC), and GitLab for version-controlled data engineering deployments
Skilled in designing and deploying REST-based APIs and data access layers to make analytical results and datasets accessible to other systems and applications
Drives data engineering best practices across the team
Proven ability to translate business questions into data solutions, collaborating with data scientists, analysts, and software engineers to deliver actionable insights
High responsiveness to evolving business data needs, demonstrating innovation, problem-solving, and solution ownership from concept through implementation
Serves as a technical mentor and advisor, guiding other engineers on data design principles, analytical modeling, and modern data engineering techniques
Works cross-functionally to align technical data strategies with organizational goals, ensuring that data assets drive business value
Self-starter and detail-oriented professional capable of owning the full lifecycle of data engineering initiatives, from design to deployment and continuous improvement
Bachelors Degree in Computer Science, MIS, or related technical discipline required
Five (5) plus years of related industry experience
Preferred
Previous employment in the healthcare or insurance industry preferred
Company
RIT Solutions, Inc.
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201-500 employees
H1B Sponsorship
RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase