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Delivery Consultant- GenAI/ML & Data Science, AWS Industries
Amazon 4.7
Senior data scientist job in Austin, TX
Application deadline: Jan 16, 2026 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. 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: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: 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 pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust 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 - Experience developing software code in one or more programming languages (java, python, etc.) - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with coding, automation and scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base pay range for this position is listed below. Hourly pay ranges include the base pay rate plus the highest available shift differential which applies depending on the shift you select. Colorado $131,300 - $177,600 annually / hourly National $118,200 - $204,300 annually / hourly For salaried roles, your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ***************************************************** . For hourly roles, as a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at ********************************************* .
$131.3k-177.6k yearly 5d ago

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Data Scientist
Mastech Digital 4.7
Senior 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. 13h ago
Principal Data Consultant
Cotality
Senior 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. 5d ago
Senior Data Engineer (Intelligent Foundations and Experiences)
Capital One 4.7
Senior data scientist job in Waco, TX
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $144,200 - $164,600 for Senior Data Engineer McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
$158.6k-181k yearly 1d ago
Data Scientist
Waste Connections 4.1
Senior data scientist job in The Woodlands, TX
We're looking for an intelligent, proactive, and results-driven Data Scientist to join our team in the Woodlands, TX. In this role, you'll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies. With minimal travel required, you'll focus on leveraging advanced analytics to optimize processes, improve decision-making, and deliver measurable value. If you're a go-getter with a passion for solving complex problems using cutting-edge tools, we want to hear from you! Key Responsibilities: Data Analysis & Insights Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement. Provide actionable recommendations to optimize operational and financial performance. Model Development & Deployment Develop and deploy predictive models and machine learning algorithms to support business objectives. Leverage advanced analytics platforms, such as Databricks, for scalable data processing. Data Integration Collaborate with IT and cross-functional teams to integrate data solutions into existing systems and workflows. Reporting & Visualization Design and maintain dashboards and reporting insights to stakeholders. Data/AI strategy & roadmap Identify and develop future AI use cases across the organization, driving innovation and helping shape the company's long-term Data Science and AI strategy Stay current with industry trends and emerging technologies to continually enhance our data capabilities Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of relevant industry work experience in Data Science Significant relevant experience building and deploying Data Science solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation. Deep technical and data science expertise, with demonstrated experience in one or more of the following areas: Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization Analytics tools: Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau) Data management environments: Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue) Experience building in-production models, including associated scripting, error handling and documentation Proven ability to drive P&L impact through analytics Exceptional problem-solving skills and a proactive, self-starter mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Strong collaboration skills to work effectively with IT and other departments. Bonus: Familiarity with Pigment or similar business planning tools. Why Join Us? At Waste Connections, you'll be part of a dynamic team that values innovation and excellence. This role offers the opportunity to make a real impact with minimal travel, allowing you to focus on what you do best-turning data into solutions. We offer competitive compensation, a supportive work environment, and the chance to grow with a leader in the industry. Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.
$74k-100k yearly est. 4d ago
Senior Data Solution Architect
GBIT (Global Bridge Infotech Inc.
Senior data scientist job in Richardson, TX
Role: Senior Data Solution Architect-FTE Client: CBRE - Full time Opportunity Job Details As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. Responsibilities: Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies Expectations: To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products Proven expertise in building Data platforms & Data products Solid understanding of NLP, LLMs, and advanced analytics workflows Hands-on experience with Agentic AI systems and frameworks Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks Experience with BI/reporting tools Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams.
$93k-125k yearly est. 3d ago
Senior Data Governance Analyst
Interactive Resources-IR 4.2
Senior data scientist job in Austin, TX
Our client is seeking a motivated and detail-oriented Senior/Lead Data Governance Analyst to support the growth and execution of their enterprise data governance framework. This role will work cross-functionally with product owners, stewards, and technical teams to help define and maintain key data standards, policies, definitions, and quality practices across the enterprise. As part of the growing Data Governance team, you will assist with monitoring data quality, cataloging critical data elements, and promoting data literacy. This is an excellent opportunity for an analyst with foundational experience in data governance or data management who is eager to contribute to impactful enterprise initiatives in a modern data environment. What you get to go do in this exciting role: Lead implementation and custodianship of data definitions, metadata standards, and business glossaries using Alation. Drive identification and stewardship of critical data elements, defining and maintaining business rules and ensuring alignment with enterprise priorities. Proactively lead monitoring and triaging data quality issues using Monte Carlo, and coordinate remediation efforts with both business stakeholders and technical teams. Design and maintain enterprise data quality dashboards and reporting solutions using Tableau to drive insights and accountability. Partner with data stewards, data engineering, and BI teams to align data sources with enterprise data models, and recommend improvements to data architecture. Provide oversight and execution support for data validation and testing across systems during releases and project deployments. Lead efforts in Master Data Management (MDM) and Reference Data Management (RDM), including configuration, governance, and lifecycle oversight. Maintain and enhance enterprise data catalog documentation, ensuring accuracy of data lineage, ownership, and classification. Drive implementation of data governance standards, policies, and best practices across departments and act as a change agent to improve data literacy and governance adoption. Collaborate with third-party data providers to ensure integrity, quality, and SLA compliance of inbound data feeds. Provide strategic guidance and hands-on support for QA and UAT efforts, ensuring data-related test scenarios reflect real-world business needs and data risk exposure. Recommend test cases to be permanent. Manage daily operations and continuous improvement of governance-managed tools (Alation, Monte Carlo), including integrations, vendor relations, cost/license tracking, and feature adoption. Collaborate closely with Data Engineering to define, maintain, and promote certified datasets as trusted sources for analytics and reporting. Mentor junior team members and contribute to governance strategy development. Foster a culture of data stewardship, literacy, and responsible data usage throughout the organization. What you need to be successful in this role: Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field. 8+ years of progressive experience in data governance, data quality, and data management roles. 10+ years of experience in Data Warehousing, Business Intelligence, and Business Analysis. Experience leading or coordinating data initiatives within a cross-functional or matrixed organization. Familiarity with regulatory environments (e.g., financial services, healthcare) and their impact on data governance. Experience with Agile or Scrum methodologies and tools such as Jira or Confluence. Strong understanding of data governance frameworks, data lifecycle management, and enterprise data strategy. Hands-on experience with metadata management and data catalog tools (e.g., Alation). Experience with data quality and monitoring platforms such as Monte Carlo. Proficient in SQL for querying and analyzing data across complex systems. Experience with modern cloud-based data warehouse and data lake platform architectures such as Azure Databricks and Snowflake. Proven ability to assess, troubleshoot, and resolve complex data quality issues. Skilled at cross-functional collaboration, translating business needs into actionable data initiatives. Excellent project management, organization, and documentation skills. Effective communicator capable of influencing data-related decisions across technical and business audiences. Ability to work independently and manage multiple initiatives with minimal supervision.
$81k-104k yearly est. 3d ago
Data Engineer
Robert Half 4.5
Senior 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. 4d ago
Staff Data Engineer
Visa 4.5
Senior 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 5d ago
Azure Data Engineer
GAC Solutions
Senior 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. 3d ago
Data Analytics Engineer
Harnham
Senior 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. 2d ago
Data Engineer I
Agtexas Farm Credit Services 3.6
Senior 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. 3d ago
SR Data Engineer
Alliance Technical Group 4.8
Senior 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. 6d ago
Data Engineer
Pyramid Consulting, Inc. 4.1
Senior 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 13h ago
Lead Data Engineer
Coca Cola Southwest Beverages 4.4
Senior 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. 2d ago
GCP Data Engineer/Lead
Dexian
Senior 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. 2d ago
Lead Data Engineer
The Friedkin Group 4.8
Senior 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-BM1
$82k-114k yearly est. 5d ago
Data Scientist Lead
McLane 4.7
Senior data scientist job in Temple, TX
McLane is one of the largest and most stable supply chain services leaders in the United States. We've been at the forefront of delivering retail and restaurant solutions for convenience stores, mass merchants, drug stores, and chain restaurants for over 125 years. Our vision is to be an agile, innovative, and unified supply chain partner that delivers a superior customer experience, improves the lives of our teammates and community, and produces best-in-class returns. McLane Company seeking an experienced and highly analytical Senior Data Scientist with deep domain knowledge in Finance and Customer Profitability Modeling to join our growing data science team. In this role, you will lead the development of analytical models and tools that evaluate customer value, improve financial decision-making, and optimize pricing, contracts, and service strategies across the business. You will work cross-functionally with Finance, Sales, Commercial, and Technology teams to translate complex data into actionable insights that directly impact the bottom line. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: Day 1 Benefits\: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance Paid holidays, earn vacation time, and sick leave accrual from day one. 401(k) Profit Sharing Plan after 90 days. Additional benefits\: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! Essential Job Functions: Lead design and implementation of customer profitability models to assess margin contribution, lifetime value, and account-level economics. Develop and maintain predictive models using statistical and machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods). Partner with Finance and Sales to create a customer segmentation framework based on financial contribution, cost-to-serve, risk, and growth potential. Analyze product, pricing, operational, and financial data to uncover drivers of profitability and identify margin improvement opportunities. Collaborate with BI and data engineering teams to ensure robust data pipelines and model deployment infrastructure. Build interactive dashboards and visualizations to support business users in scenario analysis and decision-making. Support pricing, promotion, and contract optimization initiatives through data-driven recommendations. Communicate findings and recommendations clearly to senior executives and non-technical stakeholders. Minimum Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Finance, Economics, or related field (PhD preferred). 7+ years of experience in data science or advanced analytics, preferably in finance or consulting environments. Proven experience building models for customer profitability, pricing strategy, or financial forecasting. Strong command of SQL and at least one programming language (PySpark, Python, R, or Scala). Expertise in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow) and statistical modeling. Experience working with large-scale structured and unstructured data sets. Proficiency in data visualization tools (e.g., Power BI, Tableau, or similar). Strong business acumen and ability to translate complex analytics into financial impact Preferred Qualifications\: Prior experience in B2B or supply chain, logistics, or distribution industries. Exposure to activity-based costing (ABC) and financial margin analysis. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and model deployment best practices. Experience with contract analytics or incentive modeling is a plus. Experience with packaged solutions for AI/ML, optimization and reporting such as Micrsoft Fabric, AI Foundry, Real Time Intelligence, Azure ML, and Power BI. High sense of curiosity with the ability to quickly adapt to recent technologies, tools, techniques, and comfortable dealing with ambiguity. Working Conditions: Office environment. Hybrid. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Moving America forward - together. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit https\://**********************************
$84k-113k yearly est. Auto-Apply 60d+ ago
EAI Data Engineer
Samsung 4.9
Senior data scientist job in Taylor, TX
Austin Semiconductor Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At SAS, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us! Position Summary In your role as an EAI Data Engineer, you'll work alongside the Data Management and Reporting team who is a focused on supporting internal customers' digital transformation by standardizing systems, implementing bug fixes, and adding enhancements. Systems Integration Engineer position is in reporting and data management group for UI based factory support systems critical to fully automated semiconductor manufacturing facility. UI systems are used by on-site engineering and manufacturing personnel for product quality and equipment management workflows, in addition to providing a variety of report content. Role and Responsibilities Here's what you'll be responsible for: Managing essential EAI systems: BW, ETL, PWC, IF and OGG. These systems are integral to the factory's data warehousing requirements and facilitate crucial operations, some of the more commonly visible operations include: Interlock dispositions, Sendfab operations, Lot shipments, Direct customer shipments. Working on updates and setup of EAI modules for Taylor line and will provide support for future updates and standardizations. Skills and Qualifications Here's what you'll need: BS Degree in Computer Science, Computer Engineering, or other Engineering major. 5 - 8 years of related MES systems experience is required. Advance working knowledge of SQL and relational databases required. Oracle experience preferred. Comfortable in UNIX/LINUX environment and basic shell scripting experience. Expertise in database development projects and ETL processes. Experience with Tibco BusinessWorks and Rendezvous preferred. Experience with Informatica PowerCenter and Oracle Golden Gate preferred. Knowledge of programming languages like Java and Python a plus. Ability to troubleshoot issues and conduct root cause analysis. Strong technical communication skills and customer support focus. The current base salary range for this role is between $109,050 - $212,650. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance. Total Rewards At Samsung SAS, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance Life insurance and 401(k) matching with immediate vesting Onsite café(s) and workout facilities Paid maternity and paternity leave Paid time off (PTO) + 2 personal holidays and 10 regular holidays Wellness incentives and MORE Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance. All positions at SAS are full-time on-site. U.S. Export Control Compliance This role requires access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization. Trade Secrets Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. * Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
$109.1k-212.7k yearly Auto-Apply 49d ago
Senior Data Engineer
Axiscare
Senior data scientist job in Waco, TX
Job Description- Senior Data Engineer Reports To: VP of Engineering AxisCare is a fast-growing company revolutionizing the home health care industry with innovative software solutions that empower agencies to deliver exceptional care. We're looking for a talented, high agency Data Engineer to join our team and shape the future of data at AxisCare. You'll be a hands-on trailblazer, designing and managing the data lifecycle that powers AI, ML, BI, and other data-driven products. This isn't just a “build what you're told” position-we need someone who dives deep into business challenges, asks the right questions, deeply understands the data, and crafts solutions that drive real impact. You'll wear both technical and business hats, collaborating with cross-functional teams to ensure our data infrastructure supports our mission to transform home health care. What We're Looking For A natural leader with a passion for mentoring and teaching, capable of translating complex technical concepts for non-technical stakeholders A good writer, which is especially important given the asynchronous and technically precise nature of our work A problem-solver who views challenges through both a technical and business lens, delivering solutions that align with company goals Experience creating scalable and robust data architectures with a strong grasp of the end-to-end data lifecycle Security-minded, with extensive experience safeguarding sensitive customer data Comfortable working independently and collaboratively in an evolving business environment Proven expertise in data engineering, including designing and optimizing data pipelines, ETL processes, and data warehouses Strong background with data management, warehousing, and visualization tools like MySQL, Snowflake, Redshift, Hevo, Fivetran, and Tableau (or similar technologies) Highly proficient with Python and SQL Comfortable using bash and git Familiarity with cloud platforms (AWS preferred) and modern data architectures A proactive, curious mindset-someone who digs into the “why” behind requirements and isn't afraid to challenge the status quo You're able to work remotely and live in the Eastern, Central, or Mountain time zones in the US. You must be qualified to work in the United States or Canada. What We'd Be Excited to Find Experience in home health or healthcare Familiarity with HIPAA-compliant data systems Experience using Terraform to define and deploy infrastructure Compensation and Equipment Salary (TBD based on job experience and skill level) Medical insurance is covered in full for the employee (Medical, Dental and Vision) Company will provide laptop and other needed computer equipment How to Apply Please apply via BambooHR with a brief resume and a video cover letter tailored to this position. Tell us about something you're proud to have built and how it speaks to what we're looking for. Tell us why this position is just the thing you've been hoping to find. Give us a preview of what it'll be like working with you. There's no need to record a long video; aim to keep it around 1-2 minutes. We strongly encourage candidates from all backgrounds and every walk of life to apply. Every person on our team brings their own unique perspective, and it's what makes our products better and our work more rewarding. We're eager to support you so that you can ship work you're proud of. Candidates only. No recruiters, please. About AxisCare According to Pew Research, roughly 10,000 baby boomers turn 65 every day, and the American Society on Aging calculated that an American has a 70% chance of needing help with activities of daily living such as dressing, bathing, hygiene, etc. This has led to an unprecedented increase in Home Care agencies in the U.S. and abroad who strive to help those who have difficulty helping themselves, specifically offering non-medical (also referred to as non-skilled) services to seniors in their homes. AxisCare was started in 2011 by industry leaders to help meet the demand for a more user-friendly and mobile compatible solution. Our product is a web-based management platform that helps agencies manage CRM and marketing, Caregiver/Client scheduling, billing, payroll and much more. Headquartered in Waco, TX, AxisCare has clients in all 50 states as well as 6 other countries. We are a fast-growing company seeking high-performing individuals looking for a fast-paced, autonomous working environment.
$77k-106k yearly est. 3d ago

Learn more about senior data scientist jobs

How much does a senior data scientist earn in Temple, TX?

The average senior data scientist in Temple, TX earns between $70,000 and $136,000 annually. This compares to the national average senior data scientist range of $90,000 to $170,000.

Average senior data scientist salary in Temple, TX

$98,000

$70,00010%

$98,000Median

$136,00090%

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Senior data scientist jobs in Temple, TX - 1,165 jobs

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