Explore 4 python data engineer jobs from 3 hiring companies in Fort Payne, AL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Unum Group

Shaw Industries

Terex

Hybrid

Onsite

When you join the team at Unum, you become part of an organization committed to helping you thrive.Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: <ul><li>Award-winning culture </li><li>Inclusion and diversity as a priority </li><li>Performance Based Incentive Plans</li><li>Competitive benefits package that includes: Health, Vision, Dental, Short &amp; Long-Term Disability </li><li>Generous PTO (including paid time to volunteer!) </li><li>Up to 9.5% 401(k) employer contribution </li><li>Mental health support </li><li>Career advancement opportunities  </li><li>Student loan repayment options </li><li>Tuition reimbursement</li><li>Flexible work environments </li></ul><h3></h3><h3>*All the benefits listed above are subject to the terms of their individual Plans.</h3>And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! <h2>General Summary:</h2>Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you. We are seeking a Senior or Principal Data Scientist to join our innovation hub—a small, agile team tackling the company’s most strategic challenges. You’ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise. What You Bring Bachelor’s in a quantitative field required (Master’s/PhD preferred) 6+ years of experience in data science or machine learning Strong Python and SQL skills Experience with cloud platforms (AWS preferred; Azure/GCP comparable) Databricks + PySpark experience is a strong plus Background in statistical modeling, ML algorithms, and feature engineering Ability to build automated analytics workflows and work with APIs Strong communication skills with experience influencing senior stakeholders Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environmentsJob Specifications / Qualifications<div>Education<ul><li>Bachelor&#39;s degree in a quantitative field required.</li><li>Master’s or PhD in a quantitative discipline preferred.</li></ul>Experience<ul><li>6&#43; years of professional experience or equivalent relevant work.</li><li>Proven track record leading end‑to‑end data science projects with measurable business impact.</li></ul>Technical ExpertiseCore Data Science Capabilities (expert in at least two, strong in others):<ul><li>Programming &amp; Automation:<ul><li>Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.</li><li>Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).</li><li>Exposure to object‑oriented development and scalable architecture.</li></ul></li><li>Data Visualization:<ul><li>Expertise across multiple visualization tools and techniques.</li><li>Ability to tailor visuals to business use cases and audiences.</li></ul></li><li>Statistics &amp; Machine Learning:<ul><li>Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.</li><li>Experience leading large-scale modeling projects end-to-end.</li><li>Familiarity with generative AI approaches is a plus.</li></ul></li><li>Data Engineering / ETL:<ul><li>Strong SQL skills; ability to design, debug, and optimize complex queries.</li><li>Ability to navigate and explore large databases independently.</li><li>Experience combining internal and external data sources.</li></ul></li></ul>Soft Skills &amp; Business Leadership<ul><li>Strong communication skills, including the ability to influence senior leaders.</li><li>Project management expertise and strong business acumen (financial services experience a plus).</li><li>Ability to manage multiple concurrent initiatives in a fast‑moving environment.</li><li>Comfortable leading engagements and representing analytics with executive leadership.</li></ul></div><div>Primary ResponsibilitiesAnalytical Solution Development<ul><li>Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.</li><li>Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.</li><li>Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.</li><li>Evaluate alternative approaches and select appropriate modeling techniques for each use case.</li></ul>Data Engineering &amp; Preparation<ul><li>Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.</li><li>Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.</li><li>Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance.</li><li>Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.</li></ul>Automation &amp; Deployment<ul><li>Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.</li><li>Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.</li><li>Play a lead role in operationalizing AI/ML solutions within production environments.</li></ul>Visualization, Insights &amp; Communication<ul><li>Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.</li><li>Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.</li><li>Translate complex technical work into business‑friendly recommendations.</li></ul>Leadership, Mentorship &amp; Collaboration<ul><li>Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.</li><li>Provide leadership on data science initiatives, ensuring outputs meet quality standards.</li><li>Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.</li><li>Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.</li></ul>Innovation &amp; Research<ul><li>Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.</li><li>Conduct independent R&amp;D to prototype new approaches and explore innovative solutions for high‑visibility business problems.</li><li>Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation.</li></ul></div>#LI-AD1#LI-Multi ~IN1Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person&#39;s race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$89,400.00-$183,500.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short &amp; long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum

Senior Data Scientist - GenAI/Python/AWS/SQL

Data Scientist

6+ years data science experience; strong Python and SQL; cloud platforms AWS; Databricks PySpark; ML, feature engineering; good communication.

When you join the team at Unum, you become part of an organization committed to helping you thrive.Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: <ul><li>Award-winning culture </li><li>Inclusion and diversity as a priority </li><li>Performance Based Incentive Plans</li><li>Competitive benefits package that includes: Health, Vision, Dental, Short &amp; Long-Term Disability </li><li>Generous PTO (including paid time to volunteer!) </li><li>Up to 9.5% 401(k) employer contribution </li><li>Mental health support </li><li>Career advancement opportunities  </li><li>Student loan repayment options </li><li>Tuition reimbursement</li><li>Flexible work environments </li></ul><h3></h3><h3>*All the benefits listed above are subject to the terms of their individual Plans.</h3>And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! <h2>General Summary:</h2>We’re looking for a Senior Data Scientist passionate about using AI, ML, and LLMs to transform how organizations understand and optimize their workforce. This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver production‑grade solutions. You’ll architect intelligent systems—not just models—translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own end‑to‑end solutions, and want to influence talent strategy, organizational design, and employee experience, we’d love to talk.<h2>Job Specifications</h2><div><ul><li>Bachelor’s degree in a quantitative field required; advanced degree preferred.</li><li>Minimum of 6 years of relevant analytical or data science experience.</li><li>Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).</li><li>Advanced SQL and data modeling experience across complex data environments.</li><li>Proven ability to independently manage multiple initiatives and provide direction to others.</li><li>Strong written and verbal communication skills.</li><li>Experience working in regulated or complex operational environments preferred.</li><li>Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.</li></ul><div><h2></h2><h2>Primary Responsibilities</h2><ul><li>Lead the development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.</li><li>Apply domain and business expertise to translate complex problems into well-defined analytical approaches and scalable solutions.</li><li>Design and oversee end-to-end data science workflows, including data extraction, validation, modeling, deployment, and performance monitoring.</li><li>Integrate data from multiple internal and external sources to produce modeling-ready datasets and reusable data assets.</li><li>Build predictive and prescriptive models to explain outcomes, forecast behavior, and identify risk or opportunity.</li><li>Play a lead role in embedding analytics and AI solutions into existing business processes through automation and system integration.</li><li>Partner with data engineering, IT, and business teams to ensure solutions meet architectural, security, and quality standards.</li><li>Provide technical leadership across data science initiatives, ensuring consistency with agreed-upon methodologies and quality attributes.</li><li>Communicate analytical results and implications clearly to leaders, enabling informed decision-making.</li><li>Coach and mentor less experienced data scientists; provide guidance on prioritization, approach, and technical execution.</li><li>Ensure adherence to responsible AI standards, including privacy, bias mitigation, and ethical use of employee data.</li><li>Maintain awareness of emerging analytics and AI techniques and evaluate applicability to enterprise use cases.</li></ul></div>#LI-AD1#LI-MULTI~IN1</div>Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person&#39;s race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$89,400.00-$183,500.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short &amp; long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum

Senior Data Scientist - AI & People Analytics

Senior Data Scientist

Bachelor’s degree in a quantitative field; 6+ years data science; ML/statistics; data engineering; advanced SQL; leadership; communication; regulated environment experience preferred.

Job TitleAnalytics EngineerPosition OverviewThe Data Engineer – Supply Chain / Planning &amp; Forecasting designs, builds, and maintains the data foundation that enables accurate demand and supply planning, inventory optimization, and scenario-based forecasting. This role focuses on ensuring planning-critical data (product, process, routings, alternates, constraints, and performance signals) is trusted, governed, accessible, and actionable across planning tools and analytics environments.Key ResponsibilitiesPlanning Data Pipelines &amp; Integration<ul><li>Build and maintain scalable pipelines that deliver planning-ready datasets for forecasting, supply planning, inventory targets, and performance management.</li><li>Integrate data across manufacturing, planning, sourcing, and operational systems to support end-to-end planning visibility.</li></ul> Analytics Enablement for Planning &amp; Forecasting<ul><li>Build datasets and analytical views that support planning KPIs, forecast governance, and performance measurement (e.g., planning health, data health, adherence</li><li>Create or maintain dashboards and monitoring tools that surface exceptions and improve planning decision speed and quality.</li></ul> Stakeholder Partnership &amp; Continuous Improvement<ul><li>Partner with schedulers, analysts, and business stakeholders to translate supply chain questions into robust data products.</li><li>Identify and implement internal process improvements (automation, scalability, reliability, and reduced manual work).</li><li>Train and coach others on data governance structures and best practices.</li></ul> Required Skills &amp; Qualifications<ul><li>Strong SQL skills (ability to write SQL) and working proficiency in Python; ability to work with large datasets and draw sound conclusions.</li><li>Experience with visualization / analytics tools such as Tableau (or comparable).</li><li>Strong analytical ability (cause/effect thinking, selecting key drivers, tying processes together).</li><li>Solid understanding of manufacturing/process complexity and supply chain fundamentals, especially as they impact planning.</li><li>Clear communication skills and ability to influence across teams; strong organization and execution.</li></ul> Preferred Qualifications<ul><li>Experience with planning platforms and reporting ecosystems (internal planning tools and data warehouse environments) and master data management concepts.</li><li>Background in planning, manufacturing, operational analytics, or supply chain technology roles.</li></ul> Competencies <ul><li>Innovate</li><li>Adapt to Change</li><li>Execute Action Plan</li><li>Plan and Organize</li><li>Delivering Compelling Communication.</li><li>Build Trusting Relationships</li></ul> What This Role Enables (Outcomes)<ul><li>More reliable forecasting inputs and governance through higher-quality planning data.</li><li>Faster planning cycles and fewer manual workarounds via automated pipelines and exception monitoring.</li><li>Better supply/inventory decisions through consistent, end-to-end datasets that connect manufacturing realities to planning outputs.</li></ul>Work Shift8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM<div>Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.</div>

Analytics Engineer

Design, build, and maintain data foundations for demand and supply planning; strong SQL and Python; experience with Tableau; manufacturing and supply chain context.

Job Description:Title: IT BI Solutions EngineerOperating Company: Environmental Solutions (ES) SegmentLocation: Chattanooga, TNReports to: IT Senior ManagerDepartment: Information Technology                                                                                                                                      POSITION SUMMARY:The IT BI Solutions Engineer is responsible for designing, building, and maintaining data pipelines, models, and interactive applications. This role connects application data with business needs to deliver actionable insights, transforming data from enterprise systems and data lakes into structured, usable formats and enabling informed decisions through scalable tools and applications.The ideal candidate combines strong Python, SQL, and data modeling skills with a builder’s mindset. They enjoy connecting systems, solving data problems, and creating tools that drive process automation, and deliver clear business value. Experience with full-stack data operations platforms is highly desirable.ESSENTIAL JOB FUNCTIONS INCLUDE:<ul><li>Data Ingestion &amp; Transformation<ul><li>Develop a deep understanding of the data ingested from enterprise data lakes (e.g., AWS Redshift), operational databases, and APIs.</li><li>Design and maintain ETL/ELT pipelines within Palantir to clean, harmonize, and prepare data for analytics and applications.</li><li>Apply best practices in pipeline orchestration, performance optimization, and data validation.</li></ul></li><li>Ontology &amp; Data Modeling<ul><li>Develop logical models and entity relationships that connect core business concepts such as customers, products, suppliers, and operations.</li><li>Build reusable data layers that can support both analytics and application use cases.</li></ul></li><li>Application &amp; Solution Development<ul><li>Build full-stack data applications and analytics solutions using Python and modern frameworks.</li><li>Create interactive tools, dashboards, and workflows that help business users visualize and act on data.</li><li>Develop backend logic and APIs that feed business applications or analytics products.</li></ul></li><li>Collaboration &amp; Enablement<ul><li>Partner closely with business analysts, IT teams, and functional experts to translate business questions into scalable, data-driven solutions.</li><li>Work iteratively and collaboratively to improve usability, data quality, and performance.</li><li>Document data flows, business logic, and design decisions to promote maintainability and transparency.</li></ul></li></ul>REQUIRED SKILLS &amp; QUALIFICATIONS:<ul><li>Technical Foundation<ul><li>Proficient in Python and SQL for data transformation, automation, and application development.</li><li>Strong understanding of relational data modeling, joins, and data normalization.</li><li>Experience working with data from enterprise systems and cloud data environments (e.g., AWS Redshift, Snowflake, or SQL Server).</li><li>Familiarity with ETL/ELT design concepts, pipeline orchestration, and data quality validation.</li></ul></li><li>Application Mindset<ul><li>Experience building applications or analytics tools that combine backend data logic with front-end interaction.</li><li>Comfort with modern development practices (version control, modular code, CI/CD concepts).</li><li>Ability and motivation to learn advanced data-platform tools and frameworks.</li></ul></li><li>Analytics &amp; Visualization<ul><li>Experience with BI or visualization tools (Power BI, Qlik, Tableau, etc.).</li><li>Ability to structure and present data clearly, translating complexity into business understanding.</li></ul></li><li>Soft Skills<ul><li>Strong analytical and problem-solving mindset.</li><li>Excellent communicator, able to collaborate across technical and business teams.</li><li>A growth-oriented learner who thrives in a fast-paced, evolving technology environment.</li></ul></li></ul>PREFERRED QUALIFICATIONS:<ul><li>Experience with generative AI-enabled pipelines and dashboards.</li><li>Background in manufacturing, industrial, supply chain, or engineering-focused industries.</li><li>Familiarity with predictive analytics and machine learning frameworks.</li></ul>JOB SPECIFICATIONS:General Requirements:<ul><li>Bachelor&#39;s Degree, or higher, in Computer Science, Electrical Engineering or a related field is required or equivalent experience.</li><li>3-5&#43; years of experience with Python or low code application building.</li><li>Excellent knowledge of relational databases.</li></ul><ul><li>Understanding of Agile software development practices and continuous delivery.</li><li>Experience with data ETL processes (feeding from multiple different sources).</li><li>Strong organizational and planning skills, statistical skills, analytical and problem-solving skills.</li><li>Comfortable working under limited supervision and handling routine matters on one’s own initiative.</li><li>Work with teams across the company to enable the rapid development of new functionality.</li><li>Exercise a high degree of judgment in matters related to materials, design, manufacturing, logistics and corporate compliance.</li></ul>KNOWLEDGE, SKILLS, AND ABILITIES:Ethics and Work Standards: Maintain the highest ethical and work standards, while promoting the same attributes in co-workers and others.  Ensure that all business activities – with both internal and external customers – to be performed with a professional demeanor and that all participants be held accountable to this high standard.Communication: Expresses thoughts clearly, both orally and in writing, using good grammar. Presents concise, well-organized reports in Microsoft Word, PowerPoint, and Excel.  Listens to understand input, feedback, and concerns.  Provides complete information in an open, honest, and straightforward manner.  Responds promptly and positively to questions and requests.Teamwork and Relationships: Works with other employees willingly and in a spirit of cooperation and teamwork.  Supports cooperation.  Demonstrates a commitment to the entire business and is supportive of all initiatives (company and departmental) to help grow Environmental Solutions Group business in the United States and abroad.  Cooperates fully with others to achieve organizational goals. Is tactful, courteous, and considerate.  Embraces a positive outlook.  Is respected and trusted by others.Continual Improvement and Problem Resolution: Identifies and communicates suggestions for work improvements. Uses technical and analytical abilities to assure existing work practices are the most efficient and cost effective possible. Performs root-cause analysis and implements viable, permanent solutions to problems.  Works with both internal and external customers to develop solutions which meet company-wide needs and objectives.  Applies a sense of urgency to resolve problems or creates opportunities that will increase productivity and create value.  Shares best practices with other employees across the business.Accountability: Accepts responsibility and accessibility for both the strategic planning and the successful implementation of all projects, programs, and duties as outlined in this job description. Advises supervisor of concerns, problems, and progress of work in a timely manner.Terex Overview:At Terex, we fully embrace the increasingly diverse world around us and strive to create an empowering and welcoming workplace culture. We are a $5 billion publicly traded global industrial equipment manufacturer of materials processing machinery, waste and recycling solutions, mobile elevating work platforms (MEWPs), and equipment for the electric utility industry. We are passionate about producing equipment that helps improve the lives of people around the world and providing our team members with a rewarding career and the opportunity to make an impact.   While our operations are global, each office or factory is a close-knit community.  We value diversity, equity and inclusion, safety, integrity, respect, servant leadership, courage, citizenship, and continuous improvement.  It&#39;s an exciting time to be part of the expanding manufacturing sector - come join us!Additional Information:We see inclusion as a key to our success and are committed to actively foster a culture where every team member feels valued, listened to, and appreciated. We are committed to being fair and impartial in our decisions, ensuring equity within our workplace. As an Equal Opportunity Employer, employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.The Company offers competitive salaries, advancement opportunities, and a full range of benefits, including paid vacation, 401(k), medical, dental, and vision.Terex Corporation is an Equal Opportunity Employer and Affirmative Action Employer M/F/D/V. If you are interested in an open position but feel you may not meet all the listed qualifications, we still encourage you to apply.About Terex:Terex Corporation is a global leader in specialized equipment solutions, serving essential sectors such as emergency services, waste and recycling, utilities, and construction. Our diversified portfolio positions us in resilient, high-demand markets with strong long-term growth potential.We design and manufacture advanced specialty vehicles—including fire, ambulance, and recreational vehicles—alongside waste collection vehicles, materials processing machinery, mobile elevating work platforms, and equipment for the electric utility industry. Through our global dealer, parts and service network and true value-creating digital solutions, we deliver best-in-class lifecycle support, helping customers maximize return on investment.With a strong manufacturing footprint in the United States and operations across Europe, India, and Asia Pacific, Terex combines global reach with local expertise to capture opportunities worldwide. Our strategy is clear: exceed customer expectations, invest in innovation, leverage our diversified portfolio, and deliver consistent, profitable growth for our shareholders.For more information, please visit <a target="_blank" href="http://www.terex.com/">www.terex.com</a>.Additional Information:We are passionate about producing equipment that helps improve the lives of people around the world and providing our team members with a rewarding career and the opportunity to make an impact.  We are committed to recruiting, engaging, developing, and retaining team members at all levels of our global workforce.  Our culture is defined by our Terex Way Values – Integrity, Respect, Improvement, Servant Leadership, Courage, and Citizenship.  Our values are the driving force behind our commitment to maintain an inclusive, supportive, non-discriminatory, and safe workplace for all team members.  To that end, we are committed to actively foster a culture where every team member feels valued, listened to, and appreciated. We are committed to being fair and impartial in our decisions. As an Equal Opportunity Employer, employment decisions are made without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. If you are a qualified individual with a disability, including disabled veterans, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability.  You can request reasonable accommodations by contacting the recruiting department (person or department) at <a target="_blank" href="mailto:Globaltalentacquisitions&#64;terex.com">Globaltalentacquisitions&#64;terex.com</a>. The Company offers competitive salaries, advancement opportunities, and a full range of benefits, including paid vacation, 401(k), medical, dental, and vision.

IT BI Solutions Engineer, ES

IT BI Solutions Engineer

Design, build, and maintain data pipelines, models, and interactive applications; strong Python, SQL, data modeling; ETL/ELT, BI tools experience.

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