Data scientist jobs in Birmingham, AL

We're seeking a Contract-to-Hire Senior Data Scientist to lead and collaborate with a multidisciplinary team in designing and developing innovative analytical products and solutions using Machine Learning, NLP, and Deep Learning. This role is ideal for someone who thrives in ambiguity, enjoys solving complex problems, and can translate business needs into measurable outcomes. What You'll Do • Partner with business leaders to understand needs and define measurable goals • Gather requirements, build project plans, manage deadlines, and communicate updates • Analyze large structured and unstructured datasets • Build, evaluate, implement, and maintain predictive models • Present results to both technical and non-technical stakeholders • Deploy models and monitor ongoing performance and data accuracy • Contribute ideas, stay current with industry trends, and support team development Lead-Level Opportunities Include: • Driving data science strategy and overseeing project delivery • Providing technical mentorship and leadership to the team • Promoting innovation and exploring emerging tech, tools, and methodologies What We're Looking For • Bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field • 3-6 years of relevant experience (advanced degrees may reduce required experience) • Strong skills in machine learning, statistical modeling, and data analysis • Proficiency in Python or R • Experience with large datasets, preprocessing, and feature engineering • Prior management experience • Experience with transfer learning • Experience building and deploying deep learning solutions • Strong communication skills and ability to present complex concepts clearly • Experience in life insurance or a related domain is a plus • Ability to independently manage projects end-to-end Qualifications • Master's or PhD • Industry experience in similar roles • Publications or patents in data science or ML • Experience collaborating across technical and business teams • Familiarity with software engineering best practices and version control • Relevant certifications (AWS ML Specialty, Google Data Engineer, etc.) Rooted in Birmingham. Focused on You. We're a local recruiting firm based right here in Birmingham. We partner with top companies across the city-from large corporations to fast-growing startups-and we'd love to meet you for coffee to talk about your career goals. Whether you're actively searching or just exploring, we're here to guide you through the entire process- from resume tips to interview coaching. At our clients' request, only individuals with required experience will be considered. Please note - if you have recently submitted your resume to a PangeaTwo posting, your qualifications will be considered for other open opportunities. Your resume will never be submitted to a client without your prior knowledge and consent to do so.

DETAILS: EDI CONSULTANT /TRAINER Title: EDI Consultant Length: 3-6 months for first project and extensions from there, possible for multiple projects Compensation: Hourly DOE Location: Meadowbrook, AL (Birmingham) / can be remote, but need to visit on the front end a couple of weeks and as needed occasionally down the road. OVERVIEW: EDI CONSULTANT /TRAINER This individual will plan, develop, and implement the EDI operations and strategy roadmap for the organization train and mentor a small team. RESPONSIBILITIES: EDI CONSULTANT /TRAINER Manage Mapping and Administration for TrustedLink/OpenText /BizManager for iSeries/AS400 Mentor a small team of resources to assist in EDI operations. Oversees the design, development, testing, deployment, and maintenance of the EDI systems, applications, and integrations - Must be strong with TrustedLink and BizManager for iSeries. Develop and Document Specifications Monitors and evaluates the EDI system's performance, availability, security, and compliance, and initiates corrective actions as needed. Ensures that the EDI systems adhere to the industry standards, best practices, and regulatory requirements. Resolves complex EDI issues and provides technical support and guidance to the users. Establishes and maintains effective relationships with the internal and external stakeholders, such as business units, IT departments, vendors, and trading partners. MINIMUM REQUIREMENTS: EDI CONSULTANT /TRAINER Experience with AS400 / iSeries and RPG development and data files. Strong experience with OpenText, TrustedLink, and BizManager for iSeries 2+ years leadership experience training and leading a small team 10+ years of experience in EDI systems development, implementation, and management. Extensive knowledge and expertise in EDI standards, formats, protocols, and technologies, such as ANSI X12, EDIFACT, XML, AS2, FTP, VAN communication protocols etc.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Your mission Lead digitalization, transformation, and accounting-related initiatives to support the achievement of Finances target operating model. Develop, drive, and support Finance digital transformation projects, including technologies such as Robotic Process Automation (RPA) and custom applications. Design and implement fit-for-purpose digital solutions aimed at enhancing operational efficiency across Finance functions. Analyze and improve existing internal business processes, ensuring scalable implementation across all supported affiliates. Maintain and enhance current digitalization initiatives to ensure continued value delivery to the Finance and Accounting teams. Responsible to support financial activities including month-end closing, analysis, reconciliation, reporting of general ledger and sub-ledger accounts, including maintaining audit quality documentation. Ensure compliance with internal controls and accounting policies. Your profile This position requires a Bachelor's degree in: Computer Engineering/Computer Science, Accounting, Information Technology or Finance, (or related area). Alernatively the equivalent combination of education and experience. Knowledge of RPA and/or Blue Prism, PowerBI, Power Automate (cloud and Desktop), Power Apps, Microsoft Office 365 products. About us pmX is a participatively run consulting and engineering company based in Stuttgart, Germany. Our specialties include project management, process optimization, and quality engineering. We strive to provide excellent project execution by keeping people in focus. Our team spirit and value-based company culture separates us from others in the industry. This means succeeding together by maintaining sustainable business practices, showing respect, and thinking innovatively. We have built our principles together and our company processes, decisions, and goals are always transparent.

_1420 Northbrook Drive Suite 220, Gardendale, AL 35071, USA_ | _Full Time_ **Principal Data Scientist, AI/ML & Generative AI Strategy** **Location:** Hybrid - candidate must be within commuting distance of Teksouth's Gardendale, AL headquarters for regular on-site engagements. **Clearance Requirement:** Must be able to obtain and maintain at least a Secret security clearance. Top-Secret clearance eligibility will be required as the company transitions to higher-level classified programs. Teksouth is a recognized leader in Business Intelligence and Data Analytics solutions for the federal government. With a reputation for excellence and innovation, Teksouth is a trusted partner across the defense sector, dedicated to being the indispensable architect of intelligent enterprise. We are committed to fundamentally transforming how organizations operate, make decisions, and innovate across every critical function, moving beyond traditional data reporting to deliver strategic, predictive, and actionable insights. **Position Overview -** Teksouth is seeking a **Principal Data Scientist** for a **strategic and foundational "hands-on" role** at the forefront of our innovation agenda, responsible for establishing and leading our Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) practice. The successful candidate will drive the maturation of our core data analytics offerings by identifying, validating, and **scaling new, revenue-generating opportunities** across our defense, federal, and commercial client base. You will serve as the primary **thought leader, architect, and mentor** for advanced data solutions. **Key Responsibilities and Impact** A. Strategy, Vision, and Client Engagement + **Opportunity Identification:** Proactively identify, prioritize, and scope high-impact GenAI/ML applications (e.g., text generation, code synthesis, predictive maintenance, anomaly detection) specifically relevant to client business requirements and pain points. + **Roadmap Development:** Develop and maintain a clear, pragmatic **AI/ML technology roadmap** that aligns with the company's annual revenue targets and long-term strategic growth goals. + **External Representation:** Act as the internal and external **Subject Matter Expert (SME)** , representing the company at executive client briefings, proposal development meetings, and industry conferences (e.g., FedTalks, DoD forums) to **evangelize GenAI's value proposition** , including efficiency gains and risk mitigation. + **Proposal Leadership:** Translate complex technical concepts into clear, concise, and compelling **business cases** for executive leadership, contributing to or leading the technical sections of proposals (RFPs, RFIs) that outline AI/ML solutions. B. Solution Architecture and Deployment + **Holistic Solution Architecture:** Design and architect holistic GenAI/ML solutions, including **selecting and customizing appropriate models** (LLMs, transformers, etc.) and defining scalable integration strategies for embedding AI into existing enterprise client systems (ERP, CRM). + **MLOps and Stack Standardization:** Define and standardize the required technology stack, tools, and best practices for **MLOps (Machine Learning Operations)** , ensuring models are scalable, reliable, and compliant. + **Pilot Program Leadership:** Develop and lead end-to-end development of initial **proof-of-concept (POC) and pilot models** , driving thorough validation, testing, and iteration to ensure quality, and managing the solution rollout, including cloud setup (Azure, AWS, GCP) and production deployment. + **Development & Customization:** Develop and lead model fine-tuning and **prompt engineering** for client-specific needs, overseeing the development of GenAI-powered applications and user-friendly interfaces. C. Governance, Mentorship, and Compliance + **Responsible AI:** Lead efforts in **responsible AI** , establishing rigorous standards for documentation, monitoring, and auditing processes to ensure safeguards against bias, privacy breaches, and ethical outcomes. + **Best Practice Governance:** Establish standards for version control and manage model retraining and auditing processes, ensuring alignment with ethical and regulatory compliance. + **Data Strategy:** Define and govern reliable, ethical, and compliant data sourcing and management, ensuring data ingestion and structuring processes are optimized for advanced model training. + **Team Enablement:** Create and deliver specialized training programs to uplift the skills of our existing technical consultants in foundational data science, model interpretation, and AI ethics, promoting knowledge transfer and mentoring junior colleagues. **Required Qualifications and Experience** Technical & Foundational Requirements + **Experience:** **7+ years** of progressive experience delivering machine learning or AI solutions, with at least **3 years in a leadership or principal-level role** focused on strategy, architecture, and mentorship. + **Education:** Master's degree (or equivalent experience) in Data Science, Computer Science, Engineering, or a related quantitative field. A PhD is preferred. + **Languages & Tools:** Expert proficiency in **Python** (PyTorch, TensorFlow, HuggingFace) and **SQL** . + **AI/ML Expertise:** Deep understanding of a wide range of ML models (deep learning, NLP, time-series, clustering) and demonstrated accomplishments in **GenAI models and approaches** (LLMs, transformers, prompt engineering). + **Deployment:** Expert proficiency in **ML pipelines** and cloud-based deployment (AWS SageMaker, Azure ML, Google AI Platform), with experience integrating AI into enterprise applications via APIs. Strategic & Leadership Requirements + **B2G/Defense Experience (Strongly Preferred):** Proven experience successfully applying data science solutions within the **Department of Defense (DoD)** or large Federal Civilian agencies. + **Compliance Knowledge:** Understanding of the unique data privacy, security, and compliance requirements (e.g., **FedRAMP, CUI, DoD ILs** ) and **mapping technology to business goals** under these regulations. + **Communication:** Exceptional written and verbal communication skills, with proven ability to create and deliver high-quality executive reports, dashboards, and training. + **Work Style:** Independent thinker who can create the vision and execute on transforming data into high-end client products. **Benefits** + Competitive salary with comprehensive medical, dental, and vision coverage. + Professional development and career advancement opportunities. + 401k w/Match + Employee Stock Ownership Plan (ESOP) participation + PTO & Paid Holidays **Reasonable Accommodations:** Accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Teksouth values and engages in the diversity of its teammates, customers, and business partners. EOE race/color/sex/sexual orientation/gender identity/disability/vet **************** We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

Full-time Description Who we are: The EDAG Group is a globally leading, independent engineering services provider that combines excellent engineering with the latest technology trends. With a global network of some 60 branches, the EDAG Group realizes projects in the Vehicle Engineering, Electrics/Electronics and Production Solutions segments. Drawing on more than 50 years of engineering experience, EDAG's proprietary 360-degree development approach has become a hallmark of quality in the holistic development of vehicles and smart factories. The company's interdisciplinary expertise in the areas of software and digitization provides it with crucial skills to actively shape dynamic transformation processes as an innovative partner. With an interdisciplinary team of around 8,600 experts, the EDAG Group develops unique mobility and industrial solutions for customers that include the world's leading automotive and non-automotive companies. The company is listed on the stock exchange since 2015 and generated revenues of € 796 million in 2022. This is how you will grow: This position is responsible for leading digitalization and process transformation initiatives within Finance & Controlling, including coordination with other North America entities and shared service centers. Lead digitalization, transformation, and accounting-related initiatives to support the achievement of Finance's target operating model. Develop, drive, and support Finance digital transformation projects, including technologies such as Robotic Process Automation (RPA) and custom applications. Design and implement fit-for-purpose digital solutions aimed at enhancing operational efficiency across Finance functions. Analyze and improve existing internal business processes, ensuring scalable implementation across all supported affiliates. Maintain and enhance current digitalization initiatives to ensure continued value delivery to the Finance and Accounting teams. Responsible to support financial activities including month-end closing, analysis, reconciliation, reporting of general ledger and sub-ledger accounts, including maintaining audit quality documentation. Ensure compliance with internal controls and accounting policies. Requirements This is how you will take us forward: Bachelors degree in Computer Engineering, Computer Science, Accounting, Information Technology, Finance or related field required 1 plus year of experience in Data science, data analysis, finance and /or accounting Knowledge of RPA and/or Blue Prism, PowerBI, Power Automate (cloud and Desktop), Power Apps, Microsoft Office 365 products. SAP Experience and Project Management experience a plus Strong analytical skills to address unusual or complex problems. No Sponsorship is available at this time EDAG Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce. EDAG Inc. does not discriminate based on race, color, religion, creed, national origin, sex, age, disability, veteran status, or any other state, local, or federal employment laws. EDAG's intends that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice. Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions' Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system. **Job Description:** At Regions, the Principal Data Scientist is a visionary and hands-on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient, and reliable data-science capabilities that elevate the entire team's productivity and impact. This includes advancing model lifecycle management, establishing best-in-class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative-AI. The candidate should have comprehensive knowledge of end-to-end data science modeling lifecycles and strong track record of successfully delivering complex data science projects. **Primary Responsibilities** + Develops and leads execution of the research roadmaps for advanced AI Capabilities such as LLM, GenAI, Retrieval-Augmented Generation (RAG), Agents and Computer Vision etc. + Stays at the cutting edge of ML/AI literature and practices + Periodically evaluates the design of existing modeling and MLOps and identifies opportunities for improvement + Serve as a technical Subject Matter Expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing + Partners with other data scientists, engineers and product teams to define technical standards, influence solution-design decisions, and raise the bar on solution quality + Champions MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies + Designs and promotes implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance + Drives complex, high-impact modeling projects from ideation to production, especially where advanced techniques (e.g. NLP, GenAI, LLMs) can drive strong business value + Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with various lines of businesses to design data products that enhance profitability, mitigate risks, and drive customer engagement across all touchpoints + Leverages cloud-based analytical platforms to build data analytics solutions + Extracts actionable insights from data to support data-driven decision-making processes + Collaborates with risk management and compliance teams to ensure compliance with internal and external regulatory requirements + Fosters a culture of innovation and continuous improvement within the team This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. This position is incentive eligible. **Requirements** + PhD degree in a quantitative or analytical field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and our (4) years of relevant experience + Or Master's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and six (6) years of relevant experience + Or Bachelor's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and eight (8) years of relevant experience + Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain. + Eight (8) years of programming experience in Python, PySpark, SQL and modern ML Libraries (e.g. Scikit-learn, TensorFlow, PyTorch) + Six (6) years of hands-on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka + Six (6) years of hands-on experience with cloud-based analytics platforms such as Amazon Web Services (AWS) SageMaker, Azure Machine Learning Studio, Google Cloud AI Platform, Snowflake or Databricks **Preferences** + Five (5) years of experience in Agile Software Development Lifecycle + Five (5) years of experience influencing, guiding, or providing technical direction to other data scientists or cross-functional team members. Background in banking and/or other financial services + Experience in RAG and integrating frontier models such as LangChain, llama Index, Anthropic, Bedrock, GPT, or Ollama + Experience with Docker/Kubernetes + Hands-on experience with techniques for text parsing, sentiment analysis, and the use of generative models such as Generative Pre-trained Transformer (GPT), Variational Autoencoders (VAE), and Generative Adversarial Networks (GANs) **Skills and Competencies** + Ability to continue research and learn new systems as needed + Ability to partner with stakeholders to identify business challenges and design solutions + Ability to research, analyze data, and derive facts + Ability to work under pressure and meet deadlines + Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, or recommendation and optimization algorithms + Experience delivering and scaling models in production + Experience planning, managing, and delivering data science projects, including risk identification and mitigation + Strong verbal, written communication, and organizational skills + Strong work ethic and self-motivation **This position is intended to be onsite, now or in the near future** . Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in-office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are **Birmingham, AL, Atlanta, GA or Charlotte, NC.** **Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.** **Position Type** Full time **Compensation Details** Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. **Job Range Target:** **_Minimum:_** $144,158.30 USD **_Median:_** $191,230.00 USD **Incentive Pay Plans:** This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual, business, and/or company performance.Opportunity to participate in the Long Term Incentive Plan. **Benefits Information** Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. (******************************************************************** Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions. + Paid Vacation/Sick Time + 401K with Company Match + Medical, Dental and Vision Benefits + Disability Benefits + Health Savings Account + Flexible Spending Account + Life Insurance + Parental Leave + Employee Assistance Program + Associate Volunteer Program Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions' benefits, please click or copy the link below to your browser. ************************************************************* **Location Details** Atlanta Midtown **Location:** Atlanta, Georgia Equal Opportunity Employer/including Disabled/Veterans Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.

Schedule: Monday-Friday 8am-5pm Benefits include: 100% tuition assistance, wellness initiatives, generous paid time off, paid parental leave, Public Service Loan Forgiveness Program eligible employer, plus more. In addition to our many benefits and perks, UAB Medicine provides a variety of resources to support employees both personally and professionally. To provide proven expertise in both frontend and backend data science development, in Pytho or related statistical languages. To develop innovative computational & data science methods and provide solutions that leverage a variety of techniques, including mathematical theories and engineering principles. To collaborate within the organization, provide data story-telling and strategic consultation, and to help understand and address the unique and complex analytics needs of various departments within UAB. To work closely with internal partners to understand business needs, scope analytics efforts, embed analytics into decision-making processes and guide strategic decisions using data. To effectively communicate analytic findings and recommendations to both technical and business leaders. To pioneer new approaches and technology for the organization, constantly looking for new ways to generate value, and adapting to meet the needs of internal stakeholders and initiatives. Key Duties & Responsibilities: 1. Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies. 2. Partner with business partners across departments to address complex issues through evaluation and problem assessment. 3. Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address complex scientific problems. 4. Enhance and expand algorithms and software to guarantee efficiency and provide consulting services regarding computer applications, providing technical support and expertise in computational modeling and simulation tools to other researchers and departments. 5. Perform computerized data processing, analysis, and reviews, and generate reports to present pertinent information to various groups. 6. Collaborates in problem assessment, analysis, and development of computational methods or procedures, independently evaluates, selects, and applies appropriate methods to the specific research problems. 7. Proposes solutions in engineering, the sciences, and other fields using mathematical theories and techniques. 8. Optimizes and extends algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. 9. Provides consultation for and expertise with computer applications to complex research problems; performs computerized data processing operations and statistical analyses of research data; creates visualizations of results. 10. Performs code review, analysis review, and writes summary reports to collaborators. 11. Creates compelling presentations for senior audiences and presents them to senior stakeholders across the organization. 12. Engages in cross-functional project management, driving projects to completion in a timely manner. 13. Queries and analyzes data at scale to craft strategy and recommends for business partners. 14. Perform other duties as assigned. Position Requirements: Doctorate degree in a related field or Master's degree in a related field and two (2) years of related experience or Bachelor's degree in related field and four (4) years of related experience required. Work experience may NOT substitute for the education requirement. Relevant degrees: Computer Science, Biosystem Engineering, Analytics, Economics, Statistics, or related fields. LICENSE, CERTIFICATION AND/OR REGISTRATION: Required: None TRAITS & SKILLS: Must be self-directed / self-motivated; must have excellent communication and possess outstanding customer service and interpersonal skills. Must be able to: (1) perform a variety of duties often changing from one task to another of a different nature without loss of efficiency or composure; (2) accept responsibility for one's own work; (3) work independently; (4) recognize the rights and responsibilities of patient confidentiality; (5) convey empathy and compassion to those experiencing pain, physical or emotional distress and/or grief; (6) relate to others in a manner which creates a sense of teamwork and cooperation; (7) communicate effectively with people from every socioeconomic, cultural and educational background; (8) exhibit flexibility and cope effectively in an ever-changing, fast-paced healthcare environment; (9) perform effectively when confronted with emergency, critical, unusual or dangerous situations; (10) demonstrate the quality work ethic of doing the right thing the right way; and (11) maintain a customer focus and strive to satisfy the customer's perceived needs. UA Health Services Foundation (UAHSF) is proud to be an AA/EOE/M/F/Vet/Disabled employer.

We are seeking a highly skilled and innovative Senior Data Scientist to design advanced analytical solutions that drive strategic decision-making and business performance. This role will serve as a key contributor in shaping data strategy, developing predictive models, and delivering actionable insights that influence product, engineering, and business initiatives. Top candidates will bring deep expertise in statistical modeling, machine learning, data mining, and large-scale analytics-paired with the ability to translate complex findings into clear, meaningful outcomes for stakeholders. This is an excellent opportunity for a motivated data scientist who thrives in dynamic, research-oriented environments and enjoys building impactful data-driven solutions. Core Responsibilities: * Lead data strategy efforts by identifying, evaluating, and integrating new datasets to enhance product capabilities. * Partner closely with engineering, product, and design teams to understand business needs and build scalable data solutions. * Develop, test, and refine statistical and machine learning models to support predictive analytics and operational improvements. * Source, collect, and preprocess structured and unstructured datasets for modeling and experimentation. * Conduct exploratory data analysis to uncover trends, patterns, and opportunities that align with business priorities. * Build algorithms for large-scale data mining, including model validation, optimization, and error analysis. * Deploy models into production environments in partnership with software developers and ML engineers. * Communicate insights and recommendations clearly to technical and non-technical stakeholders. * Stay current with emerging tools, technologies, and best practices in data science and AI/ML. Required Skills/Education: * 7+ years of experience in data science, machine learning, or advanced analytics. * Strong expertise in statistical analysis, data mining, pattern recognition, and predictive modeling. * Proficiency in SQL, Python, Java, SAS, and data visualization tools such as Tableau and Excel. * Experience designing, validating, and deploying analytical or ML models in production environments. * Ability to manage multiple projects in a fast-paced, research-focused environment. * Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Preferred Qualifications: * Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field (or equivalent experience). * 2+ years of project management or technical leadership experience. * Professional certifications in data science, machine learning, cloud technologies, or related areas. * Experience with big data platforms (Spark, Hadoop) or cloud ML tools (AWS, Azure, GCP). About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer within PNC's Asset Management organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. As a Data Engineer, with a focus on governance, modeling, and analysis, you will be part of a Data Analyst team where you will be responsible for strategic leadership in data governance, data modeling, metadata architecture, and enterprise documentation within our Asset Management line of business. Additionally, you will work with our Data Engineers to create and build data warehousing technology. The ideal candidate will bring a blend of technical depth (knowledge of Data Warehouse design, source to target mapping, DDL, and SCD types), cross-functional coordination (working with developers, BSA's, QE), and general data governance expertise to support Asset Management's evolving data landscape. Candidates should have experience with the following: Understanding of Data Warehouse Design, Source to Target Mapping, DDL documentation, SCD types, table and column naming standards. Lead enterprise data documentation and metadata strategy of our AMG data using tools such as Alation, including steward-level dictionary uploads and catalog curation. Apply governance frameworks to ensure data quality, lineage, and compliance across platforms and business domains. Collaborate with data managers, stewards, and reporting teams leading to rationalization of legacy consumption and support migration initiatives. Participate in cross-functional meetings and coordination efforts (e.g., migration projects, downstream role discussions, reporting code reviews). Support pre & post release documentation and compliance processes for data initiatives. Design and implement scalable data solutions that align with business objectives and governance standards. Be a resource for the broader data team for data architecture standards. Troubleshoot and resolve data related issues and provide root-cause analysis. Additional Qualifications: Certified Data Management Professional (CDMP) certification. Experience supporting Asset Management or financial services data platforms. Familiarity with Oracle databases, SQL, ETL & Toad. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. **Job Description** + Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. + Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. + Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. + Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. + Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: + **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. + **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. **Qualifications** Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. **Preferred Skills** Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) **Competencies** Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle **Work Experience** Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. **Education** Bachelors **Certifications** No Required Certification(s) **Licenses** No Required License(s) **Pay Transparency** Base Salary: $55,000.00 - $184,000.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. **Application Window** Generally, this opening is expected to be posted for two business days from 07/10/2025, although it may be longer with business discretion. **Benefits** PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards (******************************* . **Disability Accommodations Statement** If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. **Equal Employment Opportunity (EEO)** PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. **California Residents** Refer to the California Consumer Privacy Act Privacy Notice (****************************************************************************************************** to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations. The base salary range is $120,000 - $140,000 per year. **What you'll be doing:** + Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake. + Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform. + Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities. + Design and implement API integrations and event-driven data flows to support real time and batch data requirements. + Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities. + Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs. + Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability. + Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components. + Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability. + Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization. + Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources. + Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks. + Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact. + Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices. **Our ideal candidate will have the following:** + Bachelor's degree in computer science, engineering, or a related field + Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role + Expert proficiency in Snowflake data engineering patterns + Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform + Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs) + Proven ability to work with third party APIs, webhooks, and data exports + Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure + Proven ability to design and implement API integrations and event-driven architecture + Experience with data modeling, data warehousing, and ETL processes at scale + Advanced proficiency in Python and SQL for data pipeline development + Experience with data orchestration tools (airflow, dbt, Snowflake tasks) + Strong understanding of data security, access controls, and compliance requirements + Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms + Excellent problem-solving skills and attention to detail + Strong communication and collaboraion skills **Additional Information** Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity. Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** . Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext. _Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._ _If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._ Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.

Senior Data Engineer (SQL/Informatica) Position Location: Open to all locations including the listed satellite locations - no preference of order Pittsburgh PA - Two PNC Plaza 620 Liberty Ave Pittsburgh, PA 15222 Cleveland OH - Strongsville Technology Center 8100 Mohawk Dr. Strongsville, OH 44136 Birmingham AL - Birmingham - Brock - most preferred 701 32nd St. South Birmingham, AL 35233 North Texas Market TX - Dallas Innovation Center - Luna Rd 11511 Luna Rd Farmers Branch, TX 75234 Chicago IL - Corridors III Office 2650 Warrenville Rd Ste 500 Downers Grove, IL 60515 Miamisburg OH - Miamisburg Campus Bldg 1 3232 Newmark Dr. Miamisburg, OH 45342-5421 Jacksonville FL - Jacksonville Building 5011 Gate Parkway, Bldg 200/Ste. 300 Jacksonville, FL 32256 Ability to work remote: Hybrid - 3 days in office, 2 Remote Intended length of Assignment: 12/31/2025 - due to budget but manager will be extending resource immediately with an intent to be 6mon-1 year contract with extension again beyond that. Impact/Function this role has within the bank/LOB: A combination of mitigating risk, cost reduction, and increasing revenue - to help provide data to make sound decisions for the organization, products projects, etc. Industry background: technology background required, banking is a nice to have Roles and Responsibilities: + Work with different departments within our LOB in order to work on data requests. + Will need to be able to meet with LOB to go over requirements and gather any additional information needed to complete data request + Use SQL to gather all of the necessary data needed in order to meet the request + Create documentation related to request, including SQL, and work with ETL team in order for ETL to be able to create the scheduled job using Informatica. + Will need to also work with testers in order to ensure they understand the requirements and be able to perform the appropriate testing. + Once testing is complete the Data Engineer will need to work with our Run the Bank group in order to prepare for deployment and validation of the deployment. Must Have Technical Skills: + Strong SQL skills Flex Skills/Nice to Have: + Experience with Oracle + Experience with Home Lending or Lending in general + Strong Excel skills + Experience with Informatica + Azure DevOps + JIRA Education: Preferred bachelor's degree or relevant work experience Screening Questions: + For SQL written, were these basic SQL queries or complex? Did you have to worry about how efficient they were? Can you provide more detail on types of queries that were written. + What issues have you encountered in your previous job experience related to data and how were they resolved? + What has been your most difficult project that you have worked on in the past? Role Differentiator: An opportunity to work with both SQL and the Database, potential opportunity for growth Interview Process: 1 step ITV with HM and lead developer Skills: + Strong SQL skills Share your resume with ***********************. Also connect me at LinkedIn : (16) Ariz J. Khan | LinkedIn (************************************************** Ref: #404-IT Pittsburgh System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data management, SQL, Python, and data visualization tools like Power BI. With 5+ years of experience working with data in an enterprise environment, you will design, develop, and maintain scalable data pipelines and systems. This role involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience working with data in an enterprise environment. 5+ years of hands-on experience with SQL queries and Python. Proven experience with Power BI and Oracle databases. Strong understanding of data modeling, ETL processes, and data warehousing. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work independently and as part of a team. Key Responsibilities: Design & Develop Scalable Data Pipelines: Develop and maintain efficient, scalable data pipelines and systems to handle large datasets. Collaborate with Cross-functional Teams: Work closely with teams across the organization to understand data requirements and provide tailored solutions. SQL Query Optimization: Optimize and troubleshoot SQL queries for performance, ensuring efficiency and effectiveness. ETL Process Development: Design and maintain ETL processes using Python to extract, transform, and load data from various sources. Data Integration & Management: Integrate and manage data from multiple sources, including Oracle databases, to ensure seamless data flow. Report & Dashboard Creation: Create and maintain interactive reports and dashboards using Power BI to provide actionable insights. Ensure Data Quality & Security: Monitor data integrity, quality, and security, ensuring that all data meets the company's standards. Data Analysis & Support for Business Decisions: Perform data analysis to support decision-making and provide insights that drive business strategies. Stay Updated with Industry Trends: Keep up-to-date with the latest industry trends, technologies, and best practices to continuously improve data solutions. Why Join Us? Impactful Work: Be part of a team that values data-driven decision-making and supports innovation. Career Growth: Opportunities for professional development and career progression in a fast-paced, dynamic environment. Collaborative Culture: Work in a supportive and collaborative team atmosphere with access to cutting-edge tools and technologies.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. 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 safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer Senior within PNC's Data Products Organization, you will be based in Pittsburgh-PA, Cleveland-OH, Birmingham-AL, or Dallas-TX. * Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team * Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics Skills * Extensive experience with data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, HDFS, Sqoop, Impala, Beeline, CA7 Orchestration) * Lead experience as a Data Engineer * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Practical development and application of Kafka streaming and complex orchestration * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms (prefer AWS and Microsoft Azure) * Knowledge of Linux * Knowledge of Iceburg PNC will not provide sponsorship for employment visa for this position. PNC will not participate in OPT or STEM OPT for this position. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions. * Leads data requirement analysis and the data preparation process development for targeted data solutions. * Leads in designing and building data service infrastructure on multiple data platforms, according the workflow. * Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability. * Consults on data migration and transformation to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $149,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/26/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

We are seeking a Senior Data Scientist to lead data-driven innovation and deliver actionable insights that shape strategic decisions. In this role, you will collaborate with product, design, and engineering teams to develop advanced analytical models, optimize business processes, and build scalable data solutions. The work will be focused on automating the integration of disparate, unstructured data into a structured system-a process that was previously manual, time-consuming, and prone to errors. You will work with cutting-edge technologies across Python, AWS, Azure, and IBM Cloud (preferred) to design and deploy predictive models and machine learning algorithms in production environments. Key Responsibilities: Act as a senior data strategist, identifying and integrating new datasets into product capabilities. Work will be geared towards use cases regarding automation opportunities where disparate data will be restructured into a system to improve accuracy in data extraction, resulting in improved operational efficiency and enhanced data quality. Partner with engineering teams to build and enhance data products and pipelines. Execute analytical experiments and develop predictive models to solve complex business challenges. Collect, clean, and prepare structured and unstructured datasets for analysis. Build and optimize algorithms for large-scale data mining, pattern recognition, and predictive modeling. Analyze data for trends and actionable insights to inform business decisions. Deploy analytical models to production in collaboration with software developers and ML engineers. Stay current with emerging technologies, cloud platforms, and industry best practices. Required Skills & Education: 7+ years of experience in data science or advanced analytics. Strong expertise in Python and proficiency in SQL. Hands-on experience with AWS and Azure; familiarity with IBM Cloud is a bonus. Advanced knowledge of data mining, statistical analysis, predictive modeling, and machine learning techniques. Ability to work effectively in a dynamic, research-oriented environment with multiple projects. Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or related field (or equivalent experience). Excellent communication skills to present insights to technical and non-technical stakeholders. Preferred Qualifications: 2+ years of project management experience. Relevant professional certifications (AWS, Azure, Data Science, Machine Learning). About Seneca Resources: At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.

HI, Hope you're doing well This is Pankaj from 4P Consulting please see details below job description Note :: Only W2 NO C2C allow please don't send any resume for C2C Job Title: Data Engineer - Advanced Metering Infrastructure (AMI) Analytics** Location: Birmingham, AL Contract :: 12 Months Job Summary: The Data Engineer at APC Power Delivery's AMI Analytics team plays a pivotal role in advancing data-driven decision-making and operational efficiency across business units. Working closely with data scientists and within a cloud environment, this role requires expertise in data engineering, cloud technologies, and collaborative problem-solving. Key Responsibilities: Data Pipeline Development: · Assist TO in designing, building, and maintaining scalable data pipelines to ingest, transform, and store large volumes of AMI data from various sources. · Collaborate with data scientists to ensure seamless integration of data pipelines with analytical models and AI processes. Data Modeling and Architecture: · Develop and implement data models and architectures optimized for AMI data analytics, ensuring efficiency, scalability, and data integrity. · Implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis. Cloud Environment Management: · Work within cloud environments - Azure to deploy, manage, and optimize data engineering solutions. · Collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure. Power BI Visualization and Reporting: · Develop and maintain Power BI dashboards and reports to visualize AMI data insights and facilitate data-driven decision-making. · Ensure the accuracy, reliability, and usability of visualizations to meet business requirements. Data Cataloging and Documentation: · Catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance. · Implement data cataloging best practices to ensure the availability and accessibility of AMI data assets. Collaboration and Support: · Collaborate with cross-functional teams to understand data requirements and support analytical initiatives. · Provide technical support and troubleshooting for data-related issues, ensuring the reliability and availability of data infrastructure. Job Requirements: Education/Experience: · Bachelor's degree in Computer Science, Information Technology, or related field. · 3+ years of experience in data engineering or related roles, preferably in a cloud environment. Knowledge, Skills & Abilities: · Proficiency in programming languages such as Python, SQL, and Scala. · Proficiency with Power BI for data visualization and reporting. · Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR). · Strong understanding of data modeling, ETL processes, and data warehousing concepts. · Familiarity with big data technologies Behavioral Attributes: · Innovative and adaptable, with a passion for continuous learning and improvement. · Strong communication and collaboration skills, with the ability to work effectively across teams. · Results-oriented and committed to delivering high-quality solutions that meet business needs. · Ethical conduct and commitment to safety in all aspects of work. We are looking for a motivated and skilled Data Engineer to join our dynamic AMI Analytics team. If you are passionate about leveraging data to drive business insights and innovation, and have expertise in Power BI visualization and data cataloging, we encourage you to apply. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra ********************************* ***************