MDA Edge
Job Summary
This role is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include designing and delivering code related to data integration, cleaning, transformation, and control within operational and analytical data systems. Collaboration with the Project Management team to define outcomes and work structures is essential. The role also involves providing technical leadership by implementing complex data solutions across multiple systems and domains. Responsibilities
Develop and implement analytics and automation solutions, including data extraction, analysis, reporting, dashboard design, and advanced analytics such as statistical analysis, text mining, NLP, and machine learning. Assemble large, complex data sets meeting functional and non-functional requirements, ensuring consistent design and engineering approaches across systems. Maintain, improve, and manipulate large datasets, build data transformation processes, and communicate deployment and maintenance information. Design data pipelines to support data-driven decision-making, adhering to release and risk management processes. Contribute to testing suites, analyze reports, and lead troubleshooting efforts. Identify gaps in data management standards and work with partners to develop improvement plans. Mentor Data Engineers, define KPIs, and establish internal controls. Develop analytics and automated testing solutions using tools like Alteryx, Tableau, and programming languages such as SQL, SAS, and Python. Manage multiple projects simultaneously, ensuring timely and high-quality delivery. Coordinate large cross-functional analytics and automation activities. Exercise judgment and critical thinking to influence business partners and improve processes. Coach junior team members in analytics and automation activities. Managerial Responsibilities
Potentially manage team members, demonstrating leadership in diversity and inclusion, process and data management, enterprise communication, risk management, coaching, financial stewardship, talent development, and driving business outcomes. Skills and Required Skills
Proficiency in SQL, SAS, Alteryx, Python, Tableau, or related tools at intermediate to advanced levels. Advanced skills in Microsoft Excel and analytics, with the ability to extract, reconcile, and analyze data effectively. Experience implementing automated data and analytics solutions, creating user-friendly reports and dashboards. Ability to work independently or in teams across multiple projects with minimal supervision. Strong communication skills for technical and executive audiences. Desired Skills
Experience with model development, machine learning/AI, and data science. Familiarity with DataRobot, Instabase, and UIPath is a plus. Additional Details
Senior level, full-time position in the IT Services and Consulting industry, with locations in Charlotte, Dallas, East Hartford, Providence, Stamford, Wilmington, and Rhode Island.
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This role is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include designing and delivering code related to data integration, cleaning, transformation, and control within operational and analytical data systems. Collaboration with the Project Management team to define outcomes and work structures is essential. The role also involves providing technical leadership by implementing complex data solutions across multiple systems and domains. Responsibilities
Develop and implement analytics and automation solutions, including data extraction, analysis, reporting, dashboard design, and advanced analytics such as statistical analysis, text mining, NLP, and machine learning. Assemble large, complex data sets meeting functional and non-functional requirements, ensuring consistent design and engineering approaches across systems. Maintain, improve, and manipulate large datasets, build data transformation processes, and communicate deployment and maintenance information. Design data pipelines to support data-driven decision-making, adhering to release and risk management processes. Contribute to testing suites, analyze reports, and lead troubleshooting efforts. Identify gaps in data management standards and work with partners to develop improvement plans. Mentor Data Engineers, define KPIs, and establish internal controls. Develop analytics and automated testing solutions using tools like Alteryx, Tableau, and programming languages such as SQL, SAS, and Python. Manage multiple projects simultaneously, ensuring timely and high-quality delivery. Coordinate large cross-functional analytics and automation activities. Exercise judgment and critical thinking to influence business partners and improve processes. Coach junior team members in analytics and automation activities. Managerial Responsibilities
Potentially manage team members, demonstrating leadership in diversity and inclusion, process and data management, enterprise communication, risk management, coaching, financial stewardship, talent development, and driving business outcomes. Skills and Required Skills
Proficiency in SQL, SAS, Alteryx, Python, Tableau, or related tools at intermediate to advanced levels. Advanced skills in Microsoft Excel and analytics, with the ability to extract, reconcile, and analyze data effectively. Experience implementing automated data and analytics solutions, creating user-friendly reports and dashboards. Ability to work independently or in teams across multiple projects with minimal supervision. Strong communication skills for technical and executive audiences. Desired Skills
Experience with model development, machine learning/AI, and data science. Familiarity with DataRobot, Instabase, and UIPath is a plus. Additional Details
Senior level, full-time position in the IT Services and Consulting industry, with locations in Charlotte, Dallas, East Hartford, Providence, Stamford, Wilmington, and Rhode Island.
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