Allegheny Valve & Coupling, Inc.
Data Engineer – Allegheny Valve & Coupling, Inc.
Location: Chestertown, MD
Work Hours: 8:00 AM to 5:00 PM, Monday through Friday
Salary Range: $60,000 - $80,000 per year
What You'll Do
Identify, develop, and optimize robust, scalable ETL/ELT solutions for internal and external data sources. Use SSMS and T-SQL to develop complex queries and data sources to deliver comprehensive data sets from multiple sources; write SQL queries and stored procedures to support internal applications. Assist Business Intelligence Engineers with back-end query writing and conduct data verification and validation for team members. Performance tune ETL and report processes and queries. Develop algorithms to find insights from data analysis techniques, including statistical analysis and machine learning processes. Assist Database Administrators with physical DBA tasks such as backup and restore, query tuning, encryption, auditing, and regular maintenance. Communicate effectively with technical and non-technical team members. What We're Looking For
Bachelor’s degree in a quantitative field (e.g., Data Analytics, Mathematics, Applied Mathematics, Information Systems, Business, Economics) or closely related technical field. 5-10 years of experience in a Data Engineer, Data Science, or Business Analytics role. Experience in manufacturing or distribution industries preferred. Strong T-SQL skills and experience developing and optimizing complex queries for multi-source data sets. Python proficiency with Pandas and other ETL libraries. Familiarity with machine learning libraries (Matplotlib, SciKit-Learn, Keras, TensorFlow). Data tool mastery in Tableau/Power BI, SSRS/Crystal Reports, SSMS, Excel, and Access. Knowledge of core data concepts: database design, ETL, and data warehousing. Experience with version control (e.g., TFS/Visual Studio). Strong problem-solving, communication, adaptability, and teamwork skills. Familiarity with manufacturing and/or distribution processes preferred. What We Offer
Medical, dental, and vision insurance for you and your family Competitive salary Bonus programs 401K retirement plan Training opportunities Tuition reimbursement Paid vacation, PTO, and holidays Gym reimbursements, and more We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, age, disability, or veteran status in accordance with applicable law.
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Identify, develop, and optimize robust, scalable ETL/ELT solutions for internal and external data sources. Use SSMS and T-SQL to develop complex queries and data sources to deliver comprehensive data sets from multiple sources; write SQL queries and stored procedures to support internal applications. Assist Business Intelligence Engineers with back-end query writing and conduct data verification and validation for team members. Performance tune ETL and report processes and queries. Develop algorithms to find insights from data analysis techniques, including statistical analysis and machine learning processes. Assist Database Administrators with physical DBA tasks such as backup and restore, query tuning, encryption, auditing, and regular maintenance. Communicate effectively with technical and non-technical team members. What We're Looking For
Bachelor’s degree in a quantitative field (e.g., Data Analytics, Mathematics, Applied Mathematics, Information Systems, Business, Economics) or closely related technical field. 5-10 years of experience in a Data Engineer, Data Science, or Business Analytics role. Experience in manufacturing or distribution industries preferred. Strong T-SQL skills and experience developing and optimizing complex queries for multi-source data sets. Python proficiency with Pandas and other ETL libraries. Familiarity with machine learning libraries (Matplotlib, SciKit-Learn, Keras, TensorFlow). Data tool mastery in Tableau/Power BI, SSRS/Crystal Reports, SSMS, Excel, and Access. Knowledge of core data concepts: database design, ETL, and data warehousing. Experience with version control (e.g., TFS/Visual Studio). Strong problem-solving, communication, adaptability, and teamwork skills. Familiarity with manufacturing and/or distribution processes preferred. What We Offer
Medical, dental, and vision insurance for you and your family Competitive salary Bonus programs 401K retirement plan Training opportunities Tuition reimbursement Paid vacation, PTO, and holidays Gym reimbursements, and more We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, age, disability, or veteran status in accordance with applicable law.
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