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Data Engineering Consultant – Mid Level – Environmental and Engineering Digital Solutions Expert
1 month ago
Job Summary
We are seeking a highly skilled Data Engineering Consultant to join our team at Barr Engineering Co. As a Data Engineering Consultant, you will play a key role in supporting the development of our Environmental Management Analytics and Information Systems team.
Key Responsibilities
- Support the data engineering, management, and governance needs of our engineering and scientific projects for external clients.
- Identify, design, and implement process improvements; redesign infrastructure for greater scalability; optimize data delivery, and automate manual processes.
- Support the acquisition and processing of large datasets generated by IoT and instrumentation.
- Integrate systems and data sources through APIs and ETL tools.
- Support data science integration, system implementation, and system development efforts.
- Design data flows and pipelines to optimally extract, transform, and store data using on-prem and cloud technologies.
- Advance the design and development of our enterprise data warehouse, data lake, dashboarding, and self-service reporting ecosystem using the Microsoft Business Intelligence toolset (SQL Server, SSIS, SSAS tabular, Power BI, Azure).
- Lead the process of engaging business analysts and business unit staff to elicit and document data requirements.
- Write complex ETL and analytics queries.
- Design and develop database objects (databases, tables, views, stored procedures, etc.) within a normalized and dimensional data warehouse environment.
- Develop auditing and quality assurance practices to help ensure the accuracy of the data warehouse and reporting.
- Mentor business unit staff members to advance their data capabilities and understanding.
Requirements
- Bachelor's degree in computer science, information systems, or a related field, or equivalent work experience.
- Two years of experience in data engineering, database administration, or business intelligence.
- Experience developing data warehouse and data lake tools for business purposes.
- Experience supporting the development of analytical tools for business purposes.
- High proficiency in SQL queries.
- Experience with Python development.
- Experience using and developing REST APIs.
- Experience with ETL and data modeling technologies (e.g., SSIS, Data Factory, SSAS - Tabular).
- Understanding of security in an integrated on-premises and cloud-based data environment.
- Proficiency in working with diverse data types, including structured, semi-structured, and unstructured formats.
- Experience leading requirement gathering efforts for data engineering projects.
- Strong organizational skills, including the ability to plan, monitor, and follow through on work commitments and confirm priorities with stakeholders.
- High level of commitment to delivering exceptional client service.
- Excellent written and oral communication skills.
- Strong analytical and problem-solving skills.
- Possession of a valid driver's license and acceptable driving record.
- Legal authorization to work in the United States without the need for sponsorship from Barr, now or in the future.
Preferred Qualifications
- Proficiency with Azure technologies such as Data Factory, Synapse, Data Lake, and Azure Analysis Services.
- One or more Microsoft Azure certifications.
- Experience with Databricks.
- Experience developing in data visualization platforms such as Power BI, Tableau, or related platforms.
- Knowledge of data warehouse development processes and techniques, including dimensional modeling.
- Familiarity with AI, Machine Learning, and Data Science concepts and tools.
- Experience working with large volumes of streaming data.
- Knowledge of environmental data (e.g., air quality, water quality, geological, remote monitoring sensors) and environmental data systems (e.g., EQuIS, GIS, EMIS).
Work Arrangement
A hybrid or remote work arrangement may be considered for this position. A hybrid arrangement refers to splitting time worked between a Barr office and a home office; a remote arrangement refers to working primarily from a home office. This position can be based out of Barr's Ann Arbor or Grand Rapids, MI; Bismarck, ND; Denver, CO; Duluth, Hibbing or Minneapolis, MN; Jefferson City, MO; or Salt Lake City, UT offices. Remote arrangements will be considered based on candidate qualifications, location requirements, and Barr's needs.
Compensation
The anticipated base salary range for this position is $80,000–$110,000/year. Compensation will vary based upon experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus. Our compensation comes in more ways than traditional base salary, and we believe that when all those elements are combined, our compensation is a competitive part of the total value proposition of working at Barr.
Benefits
People report that they stay at Barr because of the camaraderie and career opportunities. Another draw is our competitive package of employee benefits, which includes professional development funding, 401(k) retirement savings plan, employee stock ownership plan (ESOP) participation, medical and dental insurance, life insurance, disability and accidental death insurance, flexible spending accounts for healthcare and dependent care expenses, paid holidays, paid time off, and compensatory time for exempt/salaried staff (time off or pay for extra time worked).
Equal Opportunity Employer
Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
