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Data scientist jobs in Lumberton, TX - 1,612 jobs

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  • Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services

    Amazon 4.7company rating

    Data scientist job in Dallas, TX

    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $138.2k-239k yearly 4d ago
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  • Data Scientist

    Mastech Digital 4.7company rating

    Data scientist job in Irving, TX

    Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.
    $73k-98k yearly est. 1d ago

  • Principal Data Consultant

    Cotality

    Data scientist job in Dallas, TX

    The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr
    $77k-107k yearly est. 1d ago

  • Principal Data Architect - Power BI

    Dynamics Door

    Data scientist job in Houston, TX

    We are seeking a Senior Data Architect to play a strategic, business-facing role in shaping how data is used across the organization. This role will be a key partner to Operations, Supply Chain, and Executive Leadership, helping the business fully leverage Power BI and Dynamics 365 F&O to drive insight, decision-making, and performance. The ideal candidate brings deep Supply Chain Management (SCM) knowledge, strong BI architecture expertise, and the ability to translate business questions into meaningful analytics. This is not a finance-centric role-the focus is on operational excellence, supply chain visibility, and business enablement. The business teams are relatively new to D365 F&O and Power BI, so the successful candidate will act as a guide, translator, and evangelist, helping users mature their analytical capabilities while setting a scalable BI foundation. Key Responsibilities Strategic & Business Partnership Act as the BI thought leader for the business, bridging the gap between operational teams, IT, and executive leadership Partner closely with Supply Chain, Manufacturing, Logistics, and Operations leaders to define meaningful KPIs and reporting needs Support C-suite reporting, turning complex data into clear, executive-level insights and narratives Help shape the BI roadmap and data strategy, aligned with business priorities and transformation initiatives Power BI & Analytics Enablement Lead the design, development, and governance of Power BI solutions across the organization Establish best practices for data models, semantic layers, dashboards, and self-service BI Drive adoption by coaching and enabling business users to effectively use Power BI Translate business questions into intuitive dashboards and actionable insights D365 F&O & Data Architecture Design and maintain a robust analytics architecture leveraging Dynamics 365 F&O data Develop deep understanding of SCM data domains: inventory, procurement, production, warehousing, demand planning, logistics Ensure data consistency, reliability, and scalability across reporting solutions Work with IT and partners on data pipelines, integrations, and performance optimization Leadership & Change Enablement Serve as a trusted advisor during BI and data-related initiatives Drive continuous improvement in how data is used to manage operations and performance Champion a data-driven culture across a business new to modern BI tools Required Experience & Skills Core Requirements 8+ years of experience in BI, data architecture, or analytics leadership roles Deep functional understanding of Supply Chain Management (SCM) in a manufacturing or industrial environment Strong experience with Power BI (data modeling, DAX, semantic models, governance) Hands-on experience working with Dynamics 365 Finance & Operations, particularly SCM modules Proven ability to work directly with senior business stakeholders and executives Business & Communication Skills Strong ability to translate business needs into technical BI solutions Comfortable educating and enabling non-technical users Executive-level communication and storytelling with data Pragmatic, business-first mindset (not overly technical or finance-driven) Nice to Have Experience with Azure Data Platform (Azure SQL, Synapse, Data Factory, Databricks) Experience designing enterprise KPI frameworks for operations and supply chain Background in organizations early in their Power BI or ERP maturity journey Exposure to data governance, master data, or analytics operating models
    $87k-120k yearly est. 3d ago

  • Snowflake Data Architect

    Vedan Technologies

    Data scientist job in Houston, TX

    Job Title: Snowflake Data Architect Contract Role We are seeking an experienced Snowflake Data Architect to design, build, and optimize modern cloud-based data solutions. The ideal candidate will have deep expertise in Snowflake architecture, data modeling, and ELT pipelines, and will work closely with stakeholders to deliver scalable, reliable, and well-documented data platforms for analytics and reporting. Key Responsibilities Design, implement, and optimize data models in Snowflake to ensure efficient data storage, performance, and retrieval. Architect and maintain ETL/ELT data pipelines using Matillion and Python, ensuring data accuracy, reliability, and scalability. Develop and manage data transformations using dbt, creating curated, analytics-ready datasets. Write and optimize complex SQL queries for data extraction, transformation, and loading processes. Deploy, manage, and monitor cloud-based data infrastructure across AWS, Azure, or GCP environments. Ensure data quality, consistency, and governance across all data pipelines and platforms. Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions. Create and maintain technical documentation for data architectures, pipelines, and transformation logic. Apply best practices for performance tuning, cost optimization, and security within Snowflake. Required Skills & Qualifications Strong hands-on experience with Snowflake data architecture and data modeling. Proficiency in SQL, including complex queries and performance tuning. Experience building ELT pipelines using Matillion and Python. Strong experience with dbt for data transformation and modeling. Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP. Solid understanding of data warehousing concepts and analytics architectures. Experience working with large-scale, high-volume datasets. Strong collaboration, communication, and documentation skills.
    $87k-120k yearly est. 18h ago

  • Data Engineer

    Robert Half 4.5company rating

    Data scientist job in Dallas, TX

    This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.
    $86k-121k yearly est. 18h ago

  • Data Analytics Engineer

    Harnham

    Data scientist job in Austin, TX

    About the Role We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership. You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues. What You'll Do Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results Write efficient, well-structured SQL to model and prepare data for analysis and reporting Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets Explore internal AI- and LLM-based tools to automate analysis and uncover new insights What You'll Need Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar Advanced SQL skills, including complex joins, window functions, and query optimization Proven experience building and operating ETL pipelines using modern data tooling Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker) Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect High-level understanding of LLMs and interest in applying them to data and analytics workflows Strong ownership mindset and commitment to data quality and reliability Nice to Have Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift) Background working with vehicle, sensor, or logistics data Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains
    $78k-106k yearly est. 3d ago

  • Azure Data Engineer

    GAC Solutions

    Data scientist job in Plano, TX

    8+ years (with strong hands-on Azure Data Factory and PL/SQL experience) We are looking for a highly skilled Azure Data Engineer with deep expertise in Azure Data Factory (ADF) and PL/SQL to design, build, optimize enterprise-scale data integration and transformation solutions. The ideal candidate will work closely with business, analytics, and architecture teams to deliver reliable, scalable, and high-performance data pipelines. Design, develop, and maintain ADF pipelines for batch and incremental data loads Implement ETL/ELT workflows using ADF activities such as Copy, Data Flow, Lookup, ForEach, and Web activities Integrate ADF with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL, Synapse Analytics, and on-prem systems Develop and optimize PL/SQL stored procedures, packages, functions, and triggers Write complex SQL queries involving joins, subqueries, analytics functions, and performance tuning Perform query optimization using indexes, execution plans, and partitioning strategies.
    $76k-103k yearly est. 4d ago

  • Assistant Actuary II

    Argonaut Management Services, Inc.

    Data scientist job in Houston, TX

    Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description American National is seeking an exceptional Reserving Actuary to join our dynamic and forward-thinking team at American National, where innovation meets collaboration! We are a leading company in the insurance industry, dedicated to shaping the future with our flagship Farm and Ranch product. Our team is passionate about delivering exceptional results and making a real impact. We are seeking a talented and motivated Assistant Actuary II to join our collaborative Reserving team. In this role you will have the opportunity to work on exciting and challenging projects while shaping the future of our team. Responsibilities * Perform monthly/quarterly reserve reviews, including analysis of loss development trends and reserve adequacy. * Collaborate with other functional areas (Claims, Finance, Underwriting, Pricing) to understand trends impacting reserve analyses and provide insights on key loss drivers. * Assist the Appointed Actuary on the Statement of Actuarial Opinion and other financial reporting requirements. * Prepare presentations/communications of analyses to various audiences. * Proactively monitor relevant trends. Track and report on appropriate metrics. * Persistent pursuit of improvement including streamlining processes, data, exploration of new methods, techniques, and practices. Qualifications * A Bachelor's degree in mathematics, statistics, economics, or a related field with a strong mathematical background is required. * 2 or more exams with desire to obtain ACAS * Prior experience with SQL, Python, or R strongly preferred. Position is posted between 90k and 137K Level of role, Assistant Actuary I or II, will be commensurate with experience PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
    $64k-100k yearly est. 4d ago

  • Staff Data Engineer

    Visa 4.5company rating

    Data scientist job in Austin, TX

    Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Austin, TX to: Design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development. Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations. Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa's data scientists. Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed. Execute data engineering projects ranging from small to large either individually or as part of a project team. Ensure project delivery within timelines and budget requirements. Effectively communicate status, issues, and risks in a precise and timely manner. Position reports to the Austin, Texas office and may allow for partial telecommuting. Qualifications Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Data Analytics or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a data engineer-related occupation. Alternatively, a Master's degree in Computer Science, Engineering, Data Analytics or related field and 2 years of experience in the job offered or in a data engineer-related occupation. Experience must include: Creating data driven business solutions and solving data problems using the following technologies: Hadoop, Spark, NoSQL and SQL. Building ETL/ELT data pipelines, data quality checks and data anomaly detection systems. Building large scale data processing systems of high availability, low latency, & strong data consistency. Programming using SQL or Python. Agile development incorporating continuous integration and continuous delivery. Additional Information Worksite: Austin, TX This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $163,550.00 USD to $210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
    $163.6k-210.3k yearly 1d ago

  • Data Architect

    Novocure Inc. 4.6company rating

    Data scientist job in Dallas, TX

    We are seeking an experienced and innovative Data Architect to lead the design, development, and optimization of our enterprise data architecture. This individual will play a critical role in aligning data strategy with business objectives, ensuring data integrity, and driving value from data across multiple platforms. The ideal candidate will have deep expertise in data architecture best practices and technologies, particularly across SAP S/4 HANA, Veeva CRM, Veeva Vault, SaaS platforms, Operational Data Stores (ODS), and Master Data Management (MDM) platforms. This is a full-time, position reporting to the Director, Enterprise Architecture ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable and secure enterprise data architecture solutions across SAP S/4 HANA, Veeva CRM, and Veeva Vault environments. Serve as a subject matter expert for Operational Data Stores and Master Data Management architecture, ensuring clean, consistent, and governed data across the enterprise. Collaborate with cross-functional teams to identify data needs, establish data governance frameworks, and define data integration strategies. Develop data models, data flows, and system integration patterns that support enterprise analytics and reporting needs. Evaluate and recommend new tools, platforms, and methodologies for improving data management capabilities. Ensure architectural alignment with data privacy, regulatory, and security standards. Provide leadership and mentoring to data engineering and analytics teams on best practices in data modeling, metadata management, and data lifecycle management. Contribute to data governance initiatives by enforcing standards, policies, and procedures for enterprise data. QUALIFICATIONS/KNOWLEDGE: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 8+ years of experience in data architecture, data integration, or enterprise data management roles. Proven experience in designing and implementing data solutions on SAP S/4 HANA, including integration with other enterprise systems. Strong hands-on experience with SaaS platforms, including data extraction, modeling, and harmonization. Deep understanding of Operational Data Stores and MDM design patterns, implementation, and governance practices. Proficiency in data modeling tools (e.g., Erwin, SAP PowerDesigner), ETL tools (e.g., Business Objects Data Services, SAP Data Services), and integration platforms (e.g., MuleSoft). Familiarity with cloud data architecture (e.g., AWS, Azure, GCP) and hybrid data environments. Excellent communication and stakeholder management skills. OTHER: Experience with pharmaceutical, life sciences, or regulated industry environments. Knowledge of data privacy regulations such as GDPR, HIPAA, and data compliance frameworks Ability to travel domestically and internationally as needed for high priority projects Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email ABOUT NOVOCURE: Our vision Patient-forward: aspiring to make a difference in cancer. Our patient-forward mission Together with our patients, we strive to extend survival in some of the most aggressive forms of cancer by developing and commercializing our innovative therapy. Our patient-forward values innovation focus drive courage trust empathy #LI-RJ1
    $89k-121k yearly est. 3d ago

  • GCP Data Engineer/Lead

    Dexian

    Data scientist job in Irving, TX

    Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
    $76k-103k yearly est. 3d ago

  • Data Engineer

    Pyramid Consulting, Inc. 4.1company rating

    Data scientist job in Dallas, TX

    Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
    $40-45 hourly 1d ago

  • SR Data Engineer

    Alliance Technical Group 4.8company rating

    Data scientist job in Houston, TX

    Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.
    $82k-111k yearly est. 2d ago

  • Data Engineer I

    Agtexas Farm Credit Services 3.6company rating

    Data scientist job in Lubbock, TX

    COMPANY PROFILE: AgTexas Farm Credit Services serves and supports approximately 2,600 member/borrowers in areas of lending, insurance sales, appraisal, and/or leasing. Eleven office locations can be found throughout the Association's 43-county trade territory, and the association has an average loan volume of approximately $2.85 billion, with total assets equaling $3.2 billion. lending portfolio consists of cotton, livestock, dairy, feed grains, real estate, and ag-related business loans. Additionally, the association territory provides diversity in production and mortgage loans as well as commodities financed. Without strong financial backing farmers and ranchers will not survive, and people will not have food to eat or clothes to wear. AgTexas provides reliable credit and crop insurance to our member-owners, so they can feed and clothe the world. POSITION: The Data Engineer I position has a location and salary that is negotiable depending upon experience. Supports the design, development, and maintenance of data pipelines and data infrastructure to ensure reliable data access and analytics across the Association. Contributes to workflow automation, collects, cleans, and integrates data from multiple sources while building and supporting automation platforms. *AgTexas, at its sole discretion, may offer this position with a different title based upon the qualifications of the candidate. MINIMUM EDUCATION AND EXPERIENCE: Bachelor's degree in computer science, information systems, data science, related field or equivalent, practical experience. Possesses a strong proficiency in SQL and a solid understanding of relational database concepts, enabling effective data querying and management. Familiarity with one or more programming languages such as Python, PowerShell (PS), or Java is essential for scripting and automation tasks. Exposure to cloud data platforms, including Azure or AWS, is preferred, as is a working knowledge of ETL processes and data pipeline development. Experience or familiarity with data modeling, data warehousing concepts, or business intelligence (BI) tools is preferred. KEY REQUIREMENTS: The ideal candidate has a solid technical foundation, strong problem-solving skills, and the ability to contribute beyond traditional data engineering duties by supporting both data-driven and process automation initiatives. Strong problem - solving and analytical skills, with the ability to break down complex issues and develop effective solutions. Ability to convey technical concepts clearly to non-technical stakeholders. Proactive in the application of new tools and technologies. Strong interpersonal and excellent oral and written communications skills are required. KEY RESPONSIBILITES: Design, build, and maintain data pipelines and integrations to ensure reliable access to data across systems. Support database design, modeling, and optimization efforts. Support and enhance workflow automation solutions using platforms such as Nintex and Microsoft Power Platform (Power Automate, Power Apps, Power BI). Assist in managing cloud-based data platforms (e.g., Azure, AWS, etc.). Collaborate with analysts and business teams to ensure data availability for reporting and analytics. Implement data quality checks, validation processes, and documentation for all data flows. Develop and optimize SQL queries, scripts, API management, and automation processes. Monitor, troubleshoot, and resolve issues related to data pipelines, workflows, and system integrations. Contribute to continuous improvement initiatives that leverage both data engineering and workflow automation. WORKING RELATIONSHIPS: Frequent interaction with Association departmental staff and management. Occasional interaction with Association senior management, CEO, and/or board of directors. Occasional interaction with Farm Credit Bank of Texas staff. EOE/AA/M/F/D/V AgTexas FCS is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, national origin, protected veteran status, sexual orientation, gender identity or genetic information. Persons with disabilities who require an accommodation to complete the application process should call our Lubbock office at and ask to speak to one of our HR representatives to request accommodation in the application process.
    $81k-105k yearly est. 4d ago

  • Lead Data Engineer

    The Friedkin Group 4.8company rating

    Data scientist job in Houston, TX

    Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us Career Growth: Advance your career with opportunities for leadership and personal development. Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs. Total Rewards Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page. A Day In The Life As a Lead Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions. This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG. As a Lead Data Engineer you will: Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing. Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework-ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers. Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility. Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics. Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences. Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment. Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput. Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem. What We Need From You Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req or Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies. Required Expertise in developing ETL/ELT workflows Required Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings Required Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage Required Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) Required Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Required Familiarity with machine learning model deployment and management practices is a plus Required Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders. Required AWS Certified Solution Architect Preferred Databricks Certified Associate Developer for Apache Spark Preferred DAMA CDMP Preferred or other relevant certifications. Preferred Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds. Travel Requirements 20% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship. #LI-TW1
    $82k-114k yearly est. 1d ago

  • Lead Data Engineer

    Coca Cola Southwest Beverages 4.4company rating

    Data scientist job in Dallas, TX

    General Purpose This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure. Duties and Responsibilities Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure Ensure technical alignment with the Data Engineering team from HQ. Qualifications Bachelor's degree in computer science, software engineering, information technology, or a related field. Advanced degree is a plus. 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks. Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing. Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance. 30% travel projected Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at if you need assistance completing this application or to otherwise participate in the application process. Know Your Rights dol.gov Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
    $88k-121k yearly est. 3d ago

  • Data Scientist

    Victory 3.9company rating

    Data scientist job in Austin, TX

    We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen
    $73k-101k yearly est. Auto-Apply 60d+ ago

  • Data Analytics Internship

    Olson & Cepuritis 4.3company rating

    Data scientist job in Dayton, TX

    What Does Steel Dynamics Do? Steel Dynamics is a leading industrial metals solutions company that produces lower-carbon, high-quality steel products primarily from recycled scrap. Operating through a circular manufacturing model, the company manufactures a wide range of steel products including flat roll, structural, and long products for industries such as construction, automotive, energy, and manufacturing. In addition to steel production, Steel Dynamics operates metals recycling facilities, steel fabrication plants, and aluminum production operations, serving customers across North America with a focus on innovation, efficiency, and sustainability. What Makes This Internship Different? What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help design and automate interactive dashboards and data tools that provide real-time insights into divisional performance, sales, and marketing metrics. Rather than working with simulated or academic data, interns will work with live reports from our new ERP system being implemented in February 2026, giving them hands-on exposure to large-scale data migration and analytics integration. This role offers an exceptional opportunity to work cross-functionally with leadership in operations, marketing, and IT, building end-to-end reporting solutions that drive business decisions. Internship Location This internship will be based at the Steel Dynamics OmniSource Texas Division. The selected intern will work on-site at our Dayton, TX location. The internship will take place during Summer 2026 (approximately May-August). Internship Benefits Furnished Housing Free of Cost Provided for interns living more than 50 miles from their work site, including essential furnishings to ensure a comfortable stay during the internship. 401(k) & Company Match Eligibility to participate in the company 401(k) plan with a 10-50% company match that vests immediately. Employee Discounts Access to discounts on hotels, vehicles, and other goods and services through Steel Dynamics' nationwide partner network. Employee Assistance Program Up to five free visits per issue, per year for counseling, legal advice, financial guidance, and other daily living resources. Intern Extravaganza A two-day event at company headquarters featuring facility tours, networking with company leaders, cultural immersion, and connecting with other interns from across the country. Competitive Pay Competitive hourly wages for all internship positions, rewarding the value interns bring to the company. Responsibilities What Are My Responsibilities as a Data Analytics Intern at Steel Dynamics? Develop and maintain Power BI dashboards and shared Excel tools that provide real-time visibility into divisional sales, marketing, and operational performance. Automate reporting processes by linking data from the new ERP system and other internal reports into dynamic dashboards. Support data cleansing, transformation, and modeling efforts to ensure accuracy and consistency across multiple data sources. Collaborate with divisional leadership to identify key performance metrics (KPIs) and develop visual analytics that improve decision-making. Build reports tracking customer sales activity, pricing trends, logistics performance, and marketing campaigns. Document and standardize recurring analytics processes to improve reporting efficiency and sustainability. Participate in special projects related to ERP data integration, report validation, and business process optimization. Present findings and progress updates to divisional management, highlighting opportunities for performance improvement. Qualifications What Qualifications Do I Need? Currently pursuing a Bachelor's degree in Data Analytics, Information Systems, Finance, Accounting, Economics, Marketing, or a related field. Strong analytical and problem-solving skills with attention to detail. Proficiency in Microsoft Excel (advanced functions, pivot tables, Power Query) and Power BI preferred. Excellent communication skills and the ability to collaborate across departments. Strong organizational skills with the ability to manage multiple projects and deadlines. Self-motivated, eager to learn, and proactive in finding data-driven solutions. Preferred Experience with Power BI, Qlik Sense, or Tableau. Familiarity with SQL, DAX, or VBA for automating and connecting datasets. Interest in industrial operations, pricing analytics, or manufacturing environments. Exposure to ERP systems (SAP, Microsoft Dynamics, or similar) a plus. Steel Dynamics, Inc., and all affiliated entities are equal opportunity employers. Coming Soon!!
    $21k-28k yearly est. Auto-Apply 60d+ ago

  • SR Data Engineer

    Alliance Technical Group 4.8company rating

    Data scientist job in Dallas, TX

    Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.
    $83k-111k yearly est. 2d ago

Learn more about data scientist jobs

How much does a data scientist earn in Lumberton, TX?

The average data scientist in Lumberton, TX earns between $60,000 and $117,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.

Average data scientist salary in Lumberton, TX

$84,000
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