Professional - Data Engineer

Professional

• Data Engineer#26-07523 Wood Dale, IL

All On-site Job Description Description/Comment:

In this role, you will be responsible for designing, developing, testing, and deploying highly scalable, high performance data integration and transformation solutions in CLIENT's enterprise data platform. This role will focus on building intelligent dashboards, automating operational workflows, and leveraging data insights to enhance decision making for both internal and external customers. The ideal candidate combines technical expertise with strong self-motivated autonomy, ownership mindset and a passion for innovation through data, technology and AI. The position requires 10% Travel and qualified candidates near a CLIENT laboratory location in the Midwest states are considered. 20 states including: Arkansas, Colorado, Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Montana, Nebraska, North Dakota, Ohio, Oklahoma, South Dakota, Utah, West Virginia, Wisconsin, Wyoming Five main laboratories (Lenexa, Wood Dale, St. Louis, Denver, and Cincinnati) Responsibilities Dashboard & Reporting Development

• Support and enable the development of Business Intelligence and Data Science solutions, design, build, and maintain interactive dashboards and reports using tools (Tableau, Power BI, Alteryx, etc.) for customer performance, financial, and operational insights.
• Develop algorithms and processes to transform data into useful, actionable information
• Ensure data accuracy, accessibility, and visualization consistency across platforms.
• Automate recurring reporting processes to improve efficiency and timeliness. Operational Workflow Automation & Data Engineering
• Understand requirements from operational and business teams to identify automation opportunities and streamline manual processes.
• Develop and optimize digital workflows for client onboarding, approval process, and reporting using tools (such as UiPath, Power Automate, Alteryx, Sales force, or similar CRM platforms.)
• Manage data pipelines and integrations between multiple systems (UiPath, CRM, ERP, Sales Force, and reporting platforms).
• Ensure data governance, compliance, and quality across all sources. Data Analysis & AI Integration
• Use artificial intelligence and machine learning techniques to identify emerging trends, anomalies, and patterns in customer and financial data to create actionable insights.
• Provide data-driven recommendations to highlight opportunities, risks, and areas that need attention.
• Collaborate with business and customer teams to translate insights into actionable strategies.
• Work closely with business teams
• Customer Solutions, Commercial, Billing, Finance, National teams
• to understand business acumen, business needs to deliver impactful technical data & digitized solutions for internal teams and enhance external customer experience.
• Collaborate with other IT software engineers, architects, national RPA/AI teams to bring new perspectives to complex business problems Curiosity, Continuous Learning & Improvement, Cross functional Collaboration Project Ownership & Delivery
• Take initiative in discussions in team meetings, problem discussions to seek to understand business challenges and proactively propose data-driven or automation-based solutions.
• Operate with a high degree of self-motivating autonomy
• don't wait for a problem to come to you, seek problems to solve by yourself.
• Manage & prioritize projects independently end to end from scoping to delivery, feedback loop, ensuring timelines are met, adjust to changing priorities.
• Quick agile product roll out, test, learn and continuously improve with stakeholder feedback.

Qualifications

Required Education:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Required Work Experience:

• Strong experience in functional requirements gathering via stakeholder interviewing to understand what the business needs and then translate to technical solutions timely
• 3-5 years' experience with workflow automation tools (e.g., Power Automate, Alteryx, UiPath).
• 3-5 years of experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, etc.)
• Strong proficiency in Tableau/Power BI for dashboard creation for story telling
• Proficient in Python or R for data analysis/science and workflow automation.
• Proficient and experience with

SQL, ETL

processes, and data modeling (integrating data from multiple sources into one like smart sheets, sales force, databases, excel, etc.)

Preferred Work Experience:

• Exposure to version control systems (Git, SVN)
• Understanding of and willingness to embrace Agile Project Management

Soft Skills:

• Self-motivated and autonomous
• takes ownership, stay focused, completes projects without needing much supervision
• Curiosity & analytical mind
• ability to quickly adapt new technologies and learn new practice
• Collaborative
• Proactive problem solver
• Adaptable & agile
• Result oriented
• Customer focused
• Strong communication and presentation skills.
• Prioritization & flexibility to business needs

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of

• Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

" While Mindlance is an equal opportunity employer our clients require that we conduct background checks on all hires who receive a contingent offer of employment. It is understood that any offer extended by Mindlance is contingent on meeting the requirements set forth by the client which may include but are not necessarily limited to: criminal history (including sexual crimes), verification of social security number, employment verification, motor vehicle records (sales staff or any staff receiving car allowance), verification of education, professional licensure where applicable, and debarment authorities. This process is conducted to verify the accuracy of the information provided by the candidate. A guilty misdemeanor or felony conviction on an applicant's record does not in any way render the applicant ineligible for hire however all convictions will be escalated to the compliance team. Offer of Employment Process When making any offer of employment to a successful candidate, Mindlance staff is responsible to the hiring party to inform the candidate of the client's intent to extend a contingent offer of employment. Upon the successful completion of the background check and drug screen, the submission of all Mindlance paperwork along with any client specific documents the associate will be cleared for their assignment. Once the start instructions are received, which is typically the Friday prior to the candidate's start date the associate will receive starting instructions from the account management team.