At Starr & Associates (S&A), we are a full-service business consulting firm delivering advisory and execution services across multiple industries and complex business domains. Data Engineers at S&A are embedded within client delivery teams to design, build, and support data integration and data enablement solutions that underpin analytics, reporting, and advanced analytical use cases.

Both Senior Data Engineers and Data Engineers perform core integration responsibilities. Senior Data Engineers are expected to bring additional experience supporting data science and advanced analytics use cases, while all Data Engineers focus on building reliable, scalable integration solutions across batch, near-real-time, and API-driven data flows.

Current client programs may include initiatives involving emissions-related data and environmental metrics, requiring strong attention to data accuracy, traceability, and governance. This role is structured to support deployment across multiple projects and industries over time.

Duties & Responsibilities

Data Integration: Design, develop, and maintain data integration pipelines across batch, near-real-time, and API-based patterns

Pipeline Development: Build scalable pipelines that ingest, transform, and persist data for downstream consumption

Platform Engineering: Develop solutions leveraging cloud-native data platforms and distributed processing frameworks

Advanced Analytics Enablement: For senior profiles, support data preparation patterns enabling data science and advanced modeling workflows

Data Quality & Validation: Implement validation, reconciliation, and monitoring to ensure data reliability

Security & Governance: Apply secure data handling, access controls, and governance standards

Requirements Collaboration: Partner with Business Analysts and Software Engineers to translate requirements into technical solutions

Testing & Deployment: Support testing, release, and deployment activities

Production Support: Assist with monitoring, troubleshooting, and issue resolution

Consulting Engagement Support: Operate effectively in a client-facing consulting delivery environment

Education

Bachelor’s Degree required

Preferred fields include Computer Science, Data Engineering, Information Systems, Engineering

Required Skills

Minimum 5+ years of experience in data engineering or data integration

Strong proficiency in SQL and relational data concepts

Experience building data pipelines using Databricks and Azure-based data platforms

Experience implementing batch, near-real-time, and API-driven integration patterns

Experience working with structured and semi-structured data

Understanding of cloud-native data architectures in Azure

Ability to support secure, governed data solutions

Experience delivering solutions in consulting or project-based environments

Nice-to-Have Skills (Preferred, Not Required)

Experience supporting data science or advanced analytics workloads

Familiarity with Python or Spark-based processing

Experience working with emissions or environmental datasets

Experience supporting analytics or reporting platforms

Experience contributing to large-scale or multi-year client programs

Required Competencies

Technical Execution: Delivers reliable, scalable data integration solutions

Analytical Thinking: Understands complex data flows and dependencies

Problem Solving: Resolves data integration and quality challenges

Collaboration: Works effectively with cross-functional delivery teams

Communication: Communicates technical concepts clearly

Adaptability: Adjusts to evolving platforms and requirements

Consulting Mindset: Operates with professionalism, accountability, and client focus

Flexible work from home options available.