STV · 5 hours ago
Data Engineer
Boston, Massachusetts
Full-time
Onsite
Mid Level
$89K/yr - $119K/yr
4+ years expSTV is seeking a Data Engineer to join our Digital Advisory Services team. This client-facing role will lead the design, development, and maintenance of scalable data solutions that power analytics and digital transformation initiatives across our infrastructure and facility portfolios.
ConstructionConsultingReal Estate
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
Qualification
Required
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
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
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
Company
STV
STV offers professional services for the infrastructure that powers our lives.
1001-5000 employees
H1B Sponsorship
STV 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 (80)
2024 (35)
2023 (39)
2022 (28)
2021 (34)
2020 (33)
Funding
Current Stage
Late StageLeadership Team
T
Tyler Bonstead
Vice President
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