Data Engineer

Standard Calibrations Inc•Chesapeake, VA

7h•$85,000 - $105,000

About The Position

We are seeking a Data Engineer to help us build and scale the data infrastructure that powers decision making across Standard Calibrations. In this role, you will architect, implement, and maintain the systems and pipelines that transform raw data into clean, reliable, and analytics-ready datasets. You will also be working with these datasets to report on metrics for the business to base their decisions on. You will work closely with our data, product, and engineering teams to design end-to-end data flows, integrate new data sources, and establish the foundation for long-term scalability. You will partner with stakeholders across the company - sales, finance, operations, and customer service - to ensure they have timely, trustworthy data and the tools to use it effectively. In this role, you will directly influence how data is collected, structured, and leveraged across Standard Calibrations. You will help define our technical foundation, accelerate analytics maturity, and enable teams throughout the organization to make smarter, faster, data-driven decisions.

Requirements

5-7+ years of experience in data engineering, data analytics, or data development with a reporting focus.
Proficiency in Microsoft SQL, Microsoft PowerBI, and data migration tools such as Microsoft SSIS.
Proficiency in designing SAP Crystal Reports 2020 or newer.
Experience integrating data from various sources (e.g., relational DBs, NoSQL, APIs, external SaaS platforms).
Ability to design scalable, maintainable, and robust data pipelines.
Familiarity with project management workflows and working within change management guidelines.
Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.
Must be able to pass a pre-employment drug screen.

Nice To Haves

Experience with Microsoft Fabric or similar transformation frameworks.
Familiarity with cloud environments, preferably Microsoft Azure.
Familiarity with Visual Studio 2019 or newer.
Background in analytics, business intelligence, and/or reporting such as SSRS.
Knowledge of data governance frameworks and security best practices.
Experience building data products or enabling self-service analytics tools.

Responsibilities

Define and develop data architecture, schemas, ETL/ELT processes, and data models to develop and maintain our data pipelines and data warehouse within our Microsoft Fabric environment.
Ensure adherence to best practices in data modeling, scalability, governance, and performance optimization.
Develop standardized, well-documented semantic layers and curated datasets for analytics consumers. Ensure pipelines are resilient, observable, well-tested, and optimized for cost and performance
Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric environments.
Monitor data pipeline and warehouse health ensuring availability, reliability, and data integrity.
Establish and maintain standards for version control, deployment, orchestration, and environment governance.
Partner with product teams to identify KPIs, define metrics, and develop measurement strategies. Develop and maintain Power BI data models and dashboards to visualize these metrics and provide self-service tools data analytics for the business.
Develop and maintain Crystal Reports alongside the business to support production needs and provide polished documents/statements for our customers.
Support daily, weekly, and monthly reporting needs across multiple departments.
Implement and enforce data governance and security best practices, ensuring clean and lean data pipelines and datasets.
Troubleshoot pipeline failures, data quality issues, and system performance challenges.
Maintain detailed documentation for data requirements, data flows, schemas, and operational processes.
Evaluate new tools, frameworks, and architectures to enhance data engineering workflows.
Advocate for best practices in data management, engineering, and analytics.
Contribute to building a scalable, self-service analytics ecosystem that empowers teams across the organization.