STV is seeking a Data Engineer to join our Digital Advisory Services team at any STV office location. This client-facing role will lead the design, development, and maintenance of scalable data solutions that power analytics, reporting, and digital transformation initiatives across our infrastructure and facility portfolios.

The successful candidate will collaborate with software developers, data analysts, and project managers to build secure, high-performing data pipelines and architectures within Azure and multi-cloud environments.

Responsibilities:

• Design, build, and maintain scalable data architectures in Azure, including Azure Storage Accounts, Azure SQL Databases, Azure Data Factory, and NoSQL technologies such as Cosmos DB and MongoDB.

• Develop and optimize ETL/ELT pipelines for structured and unstructured data using Azure Functions, Python, and T-SQL.

• Utilize Python for API development, scripting, and process automation, enabling seamless data integration and workflow orchestration.

• Manage data warehouse setup, performance tuning, and maintenance, ensuring data quality, consistency, and accessibility.

• Integrate data across systems using APIs and develop custom solutions in Python, .NET, and Java for application interoperability.

• Collaborate with business stakeholders to translate analytical needs into technical specifications and data models.

• Work closely with DevOps teams to implement CI/CD workflows through Azure DevOps and GitHub.

• Administer and automate processes across SharePoint, Power Apps, and Power Automate environments.

• Implement robust data governance, metadata management, and security frameworks aligned with organizational policies.

• Support analytics and visualization teams by preparing optimized datasets for Power BI and other BI tools.

• Lead migration and modernization efforts using ShareGate, Snowflake, and cloud-native technologies.

• Explore and prototype emerging capabilities in Machine Learning and AI model development to enhance data-driven decision-making.

• Document data systems, APIs, and pipelines, ensuring maintainability and knowledge sharing across teams.

• Support proposals, business development, and client presentations related to data engineering and digital transformation initiatives.

Required Experience:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.

• 4+ years of experience in data engineering, database development, and data integration in enterprise environments.

• Hands-on experience with Azure SQL, Azure Storage, Azure Data Factory, and T-SQL.

• Proven expertise in data warehouse design, ETL/ELT processes, and performance optimization.

• Strong proficiency in Python for data processing, API development, and automation scripting.

• Experience developing and integrating APIs using Python, .NET, and Java.

• Familiarity with NoSQL databases including Cosmos DB, MongoDB, and Cassandra.

• Solid understanding of Power Platform tools (Power Apps, Power Automate, Power BI) and SharePoint Administration.

• Working knowledge of version control and deployment pipelines using GitHub and Azure DevOps.

• Familiarity with Snowflake and cloud data ecosystem integration.

• Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts into actionable business insights.

Preferred Qualifications

• Experience with AWS, Google Cloud Platform (GCP), and other cloud environments.

• Familiarity with data governance, metadata management, and data modeling best practices.

• Experience implementing machine learning pipelines and developing AI models.

• Understanding of data security, compliance, and privacy frameworks.

• Experience working within interdisciplinary digital transformation projects and enterprise modernization initiatives.

• Knowledge of CI/CD automation, API management, and microservices architecture.

Compensation Range:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (9 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.