Data Engineer

Staff Data Engineer

We are seeking a Staff Data Engineer with experience in SQL, Power BI, Snowflake, Microsoft Fabric, data pipelines, ETL/ELT, data warehousing, and business intelligence. This position will help develop and maintain enterprise data solutions that support reporting, analytics, and data-driven decision-making.

The ideal candidate will have a strong understanding of data engineering and business intelligence concepts, experience working across multiple data platforms, and the ability to translate business requirements into effective technical solutions.

Key Responsibilities:

• Develop and maintain reliable data pipelines supporting enterprise reporting and analytics.
• Create and enhance Power BI reports, dashboards, and semantic models.
• Utilize Microsoft Fabric tools and capabilities, including dataflows and Lakehouse environments.
• Write and optimize SQL queries for data extraction, transformation, validation, and reporting.
• Support Snowflake data warehouse solutions, including data modeling and integration.
• Maintain ETL/ELT processes across multiple systems and data sources.
• Identify and resolve issues related to data quality, transformations, pipelines, and reporting.
• Work with business stakeholders to understand reporting needs and develop appropriate technical solutions.
• Document data definitions, business rules, data lineage, and technical processes.
• Contribute to modernization efforts involving cloud data platforms, analytics, automation, and AI technologies.

Qualifications:

• Experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
• Strong knowledge of SQL and relational data.
• Experience developing Power BI reports, dashboards, and data models.
• Familiarity with Snowflake or comparable cloud data warehouse technologies.
• Working knowledge of Microsoft Fabric or similar modern analytics platforms.
• Understanding of ETL/ELT, data integration, data pipelines, and data modeling.
• Experience troubleshooting data and reporting issues.
• Ability to translate business requirements into technical solutions.
• Strong communication skills with both technical and non-technical stakeholders.
• Experience with SAP data is preferred.
• Experience within the utility, energy, or oil & gas industry is a plus.
• Exposure to AI, Microsoft Copilot, Snowflake AI, machine learning, predictive analytics, or intelligent automation is beneficial.

Additional Details:

• Start date: When filled.
• Interviews will be conducted virtually.
• The interview process is expected to be straightforward.
• Remote candidates will be considered.
• Local candidates may have the opportunity to work on a hybrid schedule.
• This position is geared toward candidates with strong hands-on experience but does not require every technology listed above.

Perks:

• Opportunity to work with modern data engineering and analytics technologies.
• Exposure to Power BI, Microsoft Fabric, Snowflake, SAP, and cloud data environments.
• Opportunity to contribute to emerging AI and automation initiatives.
• Flexible remote/hybrid work options.
• Enterprise-level data and analytics experience.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.