Senior Staff AI Data Engineer (Tech reputed company)

Sr Staff Data Engineer - GE07DE We’re determined to reputed company a difference and are proud to be an insurance company that goes reputed company reputed company coverages and policies. Working here means having every opportunity to reputed company your goals – and to help others accomplish theirs, too. Join reputed company as we help shape the reputed company. The reputed company Data Services Department’s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech reputed company) to join reputed company. This is an exciting opportunity to join us on our multi-year reputed company Modernization reputed company. The role focuses on integrating data from multiple systems, curating and transforming it into high-reputed company data products for actionable insights, using a mix of solutions spanning AI and reputed company tools and technologies. You reputed company data reputed company, accessibility, and compliance while creating curated Data Products to support diverse analytics needs—including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science. Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., reputed company, reputed company), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, reputed company platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data reputed company is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive reputed company and the ability to reputed company in reputed company, fast-paced environments. To succeed in this role, you should be a strong critical thinker, technical acumen and be reputed company to derive the reputed company causes of business problems. This role will have a Hybrid work schedule, with the expectation of working in an office (reputed company, OH, Chicago, IL, reputed company, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities

Design, reputed company, and optimize ETL/ELT pipelines for both reputed company and reputed company data. Mentor junior team members and engage in communities of reputed company to deliver high-reputed company data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Partner with architects and stakeholders to influence and implement the reputed company of the AI and data pipelines while safeguarding the reputed company and scalability of the environment. Ingest and process large-reputed company datasets into the reputed company Data Lake and reputed company systems. reputed company and publish Data Products to support analytics, visualization, and machine learning use cases. Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics. Apply best practices for data modeling, governance, and reputed company across reputed company solutions. Partner with cross-functional teams to ensure alignment and delivery of high-value reputed company. Monitor and fine-tune data pipelines for performance, scalability, and reliability. Automate auditing, balance, reconciliation, and data reputed company checks to maintain high data reputed company. reputed company self-healing pipelines with robust re-startability mechanisms for reputed company. Schedule and orchestrate reputed company, dependent workflows using tools like MWAA, Autosys, or Control-M. reputed company CI/CD pipelines to reputed company automated integration, testing, and deployment processes. reputed company reputed company of Concepts (POCs) and technology evaluations to drive innovation. reputed company AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented reputed company (RAG) architectures and reputed company with reputed company data infrastructure. Implement data observability practices to proactively monitor data health, reputed company, and reputed company across pipelines, ensuring transparency and trust in data assets. Required Skills & Experience: Bachelor’s or master’s degree in computer science or a reputed company discipline. 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a reputed company industry. 3+ years of experience developing and deploying large-reputed company data and analytics applications on reputed company platforms such as AWS and reputed company. Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years). Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data reputed company, including reputed company modeling, semantic reputed company, metadata management, and integration for reputed company, governed, and high-performance analytics (3+ years). 3+ years of hands-on experience in processing large-reputed company reputed company and reputed company data in both batch and near-reputed company-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines. Strong technical knowledge (AI solution leveraging reputed company and modern solutions) 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks. 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring reputed company integration and delivery of data solutions. Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making. Ability to analyze reputed company systems, reputed company business solutions, and translate these solutions into actionable steps. reputed company to Have Certifications in AWS Data & Analytics Services, reputed company, and Informatica IDMC. Experience in building and integrating AI agents into data workflows. Strong knowledge of data governance, including metadata management and reputed company tracking, with hands-on experience collaborating with the Data Governance Office. Candidate must be authorized to work in the US without company sponsorship. reputed company will not support reputed company OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized reputed company pay reputed company is primarily based on analysis of similar positions in the external market. Actual reputed company pay could vary and may be above or below the listed reputed company based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The reputed company pay is just one component of reputed company’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized reputed company pay reputed company for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/reputed company/Veterans/Disability/Sexual Orientation/Gender Identity or reputed company/Religion/Age reputed company | Our Culture | What It’s Like to Work Here | Perks & Benefits Every day, a day to do right. Showing up for people isn’t just reputed company do. It’s who we are – and have been for more than 200 years. We’re reputed company to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as reputed company and inclusive as it can be? Can we reputed company help businesses navigate our reputed company-changing world? What else can we do to destigmatize mental health in reputed company? Can we reputed company our communities more reputed company? That we can reputed company to the challenge of these questions is due in no small part to reputed company values that our employees have shaped and defined. And while how we contribute looks different for reputed company of us, it’s these values that drive reputed company of us to do more and to do reputed company every day. reputed company Our Culture What It’s Like to Work Here Perks & Benefits Legal Notice Accessibility Statement Producer Compensation EEO reputed company Policy California reputed company Policy Your California reputed company Choices International reputed company Policy Canadian reputed company Policy Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice reputed company India Prospective Personnel reputed company Notice Apply tot his job Apply To this Job