Data Engineer

M. A. Mortenson Company

Full-time - Mid Level

Heavy and Civil Engineering Construction

About the position

As a Data Engineer at Mortenson Construction, you will be a key member of the Data Solutions team, responsible for developing and implementing data engineering solutions that support business intelligence and advanced analytics initiatives. Your role will involve building ETL processes, data pipelines, and collaborating with various stakeholders to generate insights that drive business goals. You will leverage your expertise in data engineering tools and methodologies to analyze complex datasets and create visualizations that inform decision-making.

Responsibilities

• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Work closely with business subject matter experts to identify, design, and develop datasets for complex experiments or solutions.
• Coordinate data resource requirements between business subject matter experts and data engineering experts within the data solutions team to solve analytics problems.
• Work with business stakeholders, data engineers, data scientists, and other team members to translate prototypes into production.
• Assist in the development of data management policies and procedures as assigned.
• Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
• Create informative visualizations that intuitively display large amounts of data and/or complex relationships.
• Develop, implement, and maintain change control and testing processes for modifications to algorithms and data analytics.
• Perform all other duties as assigned.

Requirements

• Fundamental knowledge of the software development lifecycle including common documentation and testing methods.
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Prior experience with a cloud-based integration platform like Informatica strongly preferred.
• Expert knowledge of Python and associated libraries for data engineering and data science.
• Familiarity with relational SQL and NoSQL databases.
• Experience with large datasets is a must.
• Prior experience with data lakes and related platforms such as Data Bricks or Microsoft Fabric is a plus.
• Experience in programming using programming languages such as JAVA, PLSQL.
• Good understanding of the organization's goals and objectives.
• Knowledge of applicable data privacy practices and laws.
• Understanding of project management methodologies.
• Understanding of scripting languages preferred.
• A passion for analyzing and answering hard questions with data.
• A flexible analytic approach that allows for results at varying levels of precision.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Open to change based on diverse input and feedback.
• Effectively work with those of diverse backgrounds and organizational levels.
• Adaptive, effective communication and active listening skills.
• Strong cross-cultural relationship building and influencing at all organizational levels.
• Minimum of 5 years technical education or equivalent experience developing software or data solutions.
• Hands-on experience in a technical environment either in an analyst or development role.
• Graduate or post-graduate university degree in the field of computer science, mathematics, or statistics preferred.

Nice-to-haves

• Experience with data lakes and related platforms such as Data Bricks or Microsoft Fabric is a plus.
• Understanding of scripting languages preferred.

Benefits

• Medical and prescription drug plans - the choice between two affordable HSA-eligible medical plans that include vision coverage.
• Dental plan
• 401k retirement plan with generous matching and profit-sharing contributions
• Paid time off, holidays, and other paid leaves
• Life, AD&D, and disability insurance
• Employee assistance program online mental health tool and concierge
• Tuition reimbursement
• Adoption Assistance
• Gym Membership Discount Program
• Identity Theft Protection