Job Listing
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| Job ID: 14013049 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Data Engineering Consultant - Mid Level - Environmental Management Analytics and |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | 401(k) or other retirement, Dental Insurance, Health Insurance, Holidays, Sick Leave or PTO, Vacation or PTO |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job Description:
Summary:
Barr Engineering Co. seeks a data engineering consultantto help us build and expand our newly formedEnvironmental Management Analytics and Information Systems team. Your primary focus will be to support the data engineering and architectural needs of our external client projects. When not building end-to-end solutions for external projects, you will assistBarr's internal Information Systems team in advancing our rapidly maturing and analyticsdata-related capabilities. You will use the latest cloud-based tools todesign and buildsolutions for IoT and telemetry-basedinstrumentation, a cloud-based data lake, API integration of internal and external platforms,and many other tools to support various fascinating engineering efforts.
Barr works on thousands of client projects each year. The data-related needs of these projects vary significantly. This role is well-suited for a problem-solver who ispassionate about data andwants to work in an environment with significant growth opportunities. You will be given the opportunity to learn and develop your technological skills across various platforms and help drive the future of our Environmental Management Analytics and Information Systemsteam.
Responsibilities include:
Support the data engineering, management, and governance needs of an array of engineering and scientific projects for our external clients
Identify, design, and implement process improvements, re-designing 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 APIsand ETLtools
Support data science, 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 Barr's 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 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 to advance their data capabilities and understanding
Minimum Qualifications:
Bachelor's degree in computer science, information systems, a related field, or equivalent work experience
Three years of experience in a data engineering, database administrator, or business intelligencerole
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 withPython developer
Experience developing Rest APIs
Experience with ETL and data modeling technologies (e.g., SSIS, Data Factory, SSAS - Tabular)
Strong understanding of security in an integrated on-premises and cloud-based data environment
Proficient in working with diverse data types, including structured, semi-structured, and unstructured formats
Proficiency with Azure technologies such as Data Factory, Data Lake, and Azure Analysis Services
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:
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)
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 working primarily from a home office. This position can be based out of Barr's Minneapolis, Minnesota, office. Remote arrangements will be considered based on candidate qualifications, location requirements, and Barr's needs.
Colorado Applicants Only:
The anticipated base salary range for this position is $100,000-$120,000. Compensation will vary based on 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).
#LI-Hybrid #LI-Remote
Open positions at Barr Engineering Co. do not have application deadlines. 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.
Barr is proud to be an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other lawfully protected status.
Refer to ID 78898658 when applying |
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