This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a skilled Microsoft Fabric Data Engineer to design, build, and optimize enterprise-scale data solutions that enable data-driven decision-making. In this role, you will: - Develop scalable data pipelines. - Implement Lakehouse architectures. - Integrate diverse data sources across cloud platforms. - Work closely with IT, analytics, and business teams to translate complex requirements into robust data solutions. - Mentor junior engineers while delivering high-quality, reliable data services. The environment is collaborative, fast-paced, and focused on modern data engineering practices, including automation, real-time processing, and advanced analytics. This is a remote role with milestone-based travel requirements. Accountabilities: - Design, build, and maintain distributed, scalable data pipelines using Microsoft Fabric and Apache Spark to process structured and unstructured data. - Integrate data from multiple internal and external systems, ensuring consistency, reliability, and proper lineage. - Optimize ETL/ELT workloads to improve throughput, cost efficiency, and performance of large-scale analytics environments. - Implement and enforce data quality, metadata management, governance, and compliance standards. - Collaborate with data scientists, analysts, architects, and business stakeholders to deliver insights and integrate analytical models. - Document pipeline architectures, workflows, schemas, and operational processes, while troubleshooting and ensuring enterprise-grade reliability. - Explore emerging technologies to enhance data engineering practices, including Lakehouse architecture, real-time processing, and automation. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. - 7+ years of experience in data engineering, data architecture, or large-scale data platform development. - Strong expertise in Apache Spark for batch and streaming processing. - Hands-on experience with Microsoft Fabric, Data Factory, pipelines, and Lakehouse implementations. - Advanced proficiency in SQL, Python, and/or Scala. - Experience with cloud platforms such as Azure, AWS, or GCP. - Solid understanding of distributed systems, lakehouse architecture, and data modeling. - Proven ability to design and optimize complex ETL/ELT pipelines. - Strong communication, leadership, and mentoring skills. Requirements - Preferred: Certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric. - Experience with real-time streaming technologies (Kafka, Azure Event Hubs). - DevOps practices including CI/CD and Infrastructure as Code. - Knowledge of Power BI or Tableau. Benefits - Competitive salary and performance-based incentives. - Flexible remote work with milestone-based travel opportunities. - Comprehensive healthcare and retirement plans. - Opportunities for professional development and skill growth. - Collaborative and innovative technology environment. - Access to cutting-edge data engineering tools and cloud technologies.

• Someone to define data architecture for some of our clients. • On a daily basis, you will be working with customers. • You might be helping a new customer get started with Tinybird and guiding them on the best way to integrate Tinybird into their data stack. • Or, you could be working on optimizing a use case for one of our most experienced clients. • Many of our customers ingest billions of rows in real time and need to use that same data to make decisions in the same moment—for example, detecting fraudulent transactions or deciding what to offer someone based on their history and current browsing. • Here, you'll always have the opportunity to work with different types of clients and at various scales of data. • You’ll also collaborate with other teams. You might work with the product team to figure out the most effective way to solve a problem or ensure they understand what our customers are demanding. Or you might work with the sales-engineering team to hand over a customer or understand how you can help in a PoC. • If you enjoy challenges, are a constant learner, and like sharing your knowledge and helping others, then this is for you—apply now.

ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in over 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing more than one million units/beds globally. Across its platforms, Greystar has over $79 billion of assets under management, including approximately $36 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com. JOB DESCRIPTION SUMMARY Greystar’s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery—your decisions influence how data is transformed into intelligent, scalable solutions used by teams company‑wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI‑enabled tools in day‑to‑day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful. In addition to your resume, all candidates are required to include a short video (2–5 min) demonstrating how you have used AI tools in your engineering workflow — code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed. We are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB & DataBricks to meet our growing data demands. As a Sr. data engineer in the Apex organization, you will be part of the Scrum team, developing data capabilities powering customer-facing applications used by thousands of residents. You will play a critical role in supporting the data needs of the engineering team as you develop and optimize the backend for customer-facing real estate applications. JOB DESCRIPTION What You Will Do - 100% hands-on development – Azure SQL, Cosmos DB, DataBricks: develop and unit test database code, including but not limited to T-SQL, stored procedures, functions and views. - Own/Maintain the DataBricks data ingestion & output for our Microsoft Customer Insights CDP platform - Create and maintain database structures. - Participate in the design of databases, using first, second or third normalized form as needed to support business requirements. - Create, deploy, and maintain ADF pipelines, adhering to Greystar’s standards and documented best practices. - Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment. - Perform analysis of complex data and document findings. - Prepare data for prescriptive and predictive modeling. - Combine raw data from different external sources and build and support complex ingestions - Collaborate with application developers/data analysts who will be consuming the data. - Play a direct role in the maintenance, technical support, documentation, and administration of databases. - Ensure standards are followed by participating in code reviews - You are a thought leader who will bring up new ideas or methods and deliver awesome code Technical Qualifications - 6+ years relevant and progressive data engineering experience - Deep Technical knowledge and experience in Microsoft Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines, Azure functions, Event Grids etc. - 3+ Years of Experience with Cosmos DB - 3+ Years of Experience with Data Bricks - Hands-on skills working with data pipelines using SQL and No-SQL databases - Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2. - Experience with Power Platform / Power BI - Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications - Experience developing batch ETL pipelines; real-time pipelines are a plus - Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data - Good Experience with Python, machine learning frameworks and statistics. - Experience / Familiarity with D365 Customer Insights platform / Dataverse is a plus Technical Pre-screening test and technical interview will be required for all candidates Overall Qualifications - Knowledge of Agile software development process - Excellent problem-solving skills and experience - Strong communication and collaboration skills - "Self-starter" attitude and the ability to make decisions with minimal guidance from others - Innovative and passionate about your work and the work of your teammates - Ability to comprehend and analyze operational systems and ask appropriate questions to determine how to improve, migrate or modify the solution to meet business needs Working Conditions: - Occasional time outside of core hours depending on priorities and deliverables - Some travel (with advance notice) may be required for training, team meetings or other events Required Licenses or Certifications: - Databricks or other Certifications are nice to have but not required. Education: - Bachelor’s Degree in computer science, information technology, business management, information systems, or equivalent experience. Advanced degree preferred What the Right Candidate will Enjoy! - 100% Remote flexibility! - Competitive pay, benefits, and overall compensation packages. - The chance to be part of a technology team for a thriving organization that prioritizes accountability, respect, and operational excellence! - The opportunity to join a thriving, highly visible organization during its technology transformation! #LI-BB1 The salary range for this position is $150,000 - $170,000 USD Annually. Additional Compensation: Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. - Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. - Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. Robust Benefits Offered*: - Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. - Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. - For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. - 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). - 401(k) with Company Match up to 6% of pay after 6 months of service. - Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). - Employee Assistance Program. - Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. - Charitable giving program and benefits. *Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority. Greystar will consider for employment qualified applicants with arrest and conviction records. Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com. ANTICIPATED CLOSING DATE May 25, 2026This date may be subject to change due to evolving business needs.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary The Government Employees Insurance Company (GEICO) is a private American auto insurance company with headquarters in Chevy Chase, Maryland. GEICO is a wholly owned subsidiary of Berkshire Hathaway and is the third largest auto insurer in the United States. In 2025, GEICO earned premiums worth over $40 billion U.S. dollars. GEICO is going through a massive digital transformation to re-platform the Insurance industry, removing friction across Customers, Partners, Marketplace, Segments, Channels, and Experiences as we grow our reach and market share. About the Role GEICO seeks a Claims Data Analytics Engineer to join our Claims Innovation team. You will diagnose complex business challenges, recommend strategic solutions, and collaborate across workstreams to drive innovation. Claims Data Analytics Engineers play a critical role in building scalable, reliable, and insightful data that enables advanced analysis to shape strategy, deliver actionable intelligence, and support critical decision-making for senior leaders across Operations. This role blends data engineering, analytics, and solution design—requiring strong technical skills including SQL, Snowflake experience, Python proficiency, and a curious, analytical mindset. At the forefront of GEICO’s Operations transformation, Claims Data Analytics Engineers in Claims Innovation have opportunities to revolutionize our analytic capabilities to succeed against executive-level challenges with enterprise-level impacts. You will collaborate across Claims Innovation to create transform raw data into production-ready analytics assets and blend data engineering, analytics, and solution design through strong technical skills (SQL, Snowflake, Python, Power BI) driving team and stakeholder success. This role is an active partner in continual improvements and maturation of our analytics ecosystem, setting a benchmark for excellence. Key Responsibilities Data & Analytics Development - Build, maintain, and optimize Python-based data processing workflows, including ETL/ELT pipelines, automation scripts, and analytical models. - Engineer and optimize data models, views, and warehouse structures in Snowflake to support analytical performance and data governance. - Write advanced, efficient SQL to transform Claims data and implement reusable data patterns. - Design and develop Power BI dashboards, metrics layers, and semantic models to support reporting and business insights. - Apply deep data structure knowledge and strong analytical thinking to translate complex Claims data and customer‑driven requirements into clear, actionable analytics and production‑ready solutions - Ensure data integrity, security, and compliance with organizational standards. - Manage workload in a Sprint environment with competing priorities. Collaboration & Leadership - Work with Operations customers to structure and translate requirements into data needs with clear pathways and milestones to deliver high-impact products. - Lead cross-functional collaboration across Operations and other engineering groups throughout the engineering lifecycle—from requirements through deployment. - Mentor junior engineers and analysts, sharing best practices for coding, analytical methodology, and solution design. - Consistently contribute to improving engineering processes, documentation, automation, and team standards. Required Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field—or +5 equivalent experience. - Expert-level SQL (query optimization, windowing functions, large dataset operations, query performance tuning). - Hands-on experience with Snowflake (warehouse configuration, data modeling, SQL, tasks/streams, performance tuning). - Proficiency in Python for ETL/automation, data transformation, and analytics workflows. - Experience with Power BI, including semantic modeling, DAX, and data visualization. - Strong analytical problem‑solving skills and business curiosity. - Experience with GitHub or similar version control systems. Preferred Qualifications - Working knowledge of ATLAS and other enterprise claims data repositories - CCC - Mitchell - CIQ - Injury Guide - AWS - Experience in P&C/Auto insurance, particularly Operations/Claims - Background in building scalable distributed systems or data pipelines. - Knowledge of enterprise data governance and metadata management frameworks. - Exposure of machine learning or predictive modeling techniques. - Strong communication skills with the ability to translate technical information for non-technical audiences. Annual Salary $91,225.00 - $189,625.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. - Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. - Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. - Access to additional benefits like mental healthcare as well as fertility and adoption assistance. - Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.