Role Description Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth. - Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business. - Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units. - Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth. - Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows. - Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity. - Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support. - Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture. Qualifications - 5+ years of experience in data engineering within fast-paced, cloud-native environments. - Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto). - Experience building and managing scalable ETL pipelines and data lake infrastructure. - Familiarity with distributed systems, Spark, and data quality best practices. - Strong cross-functional collaboration skills to support BI, analytics, and engineering teams. Requirements - 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations. Competencies - Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools. - Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions. - Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently. - Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows. - Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations. - Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering. Benefits Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Role Description EXUS is seeking a Head of Data Engineering to lead the strategic direction, architecture, and delivery of our data engineering function. This role is responsible for building and scaling a robust data platform designed to support business intelligence, analytics, product development, and operational excellence across the organization. The successful candidate will combine strong technical expertise with proven leadership capability, driving the design and operation of modern data pipelines and platforms with a focus on: - ClickHouse or other relevant tools - Apache Airflow - ETL/ELT - SQL - Python - Cloud infrastructure Working closely with cross-functional stakeholders, the Head of Data Engineering will ensure that data assets are reliable, scalable, secure, and aligned with business priorities. Responsibilities - Define and lead the data engineering strategy, roadmap, and architecture - Build, manage, and develop a high-performing data engineering team - Oversee the design and operation of scalable data pipelines and platform services - Ensure high standards in data reliability, observability, governance, and performance - Partner with engineering, analytics, and business teams to deliver trusted data capabilities Qualifications - BSc degree in Computer Science, Engineering, Mathematics, Statistics, or similar - Significant experience in data engineering and platform architecture, with a minimum of 5 years of relevant experience - Demonstrated success in leading and developing engineering teams - Strong hands-on expertise with ClickHouse (or similar tools), Apache Airflow, SQL, Python, and modern ETL/ELT practices - Solid understanding of cloud-based data platforms and engineering best practices - Strong communication, stakeholder management, and organizational leadership skills Benefits - Fully remote work setup - Competitive salary - Inclusive work environment & Well-being Program - A clear induction program & a mentoring buddy to help you - Private health insurance allowance - Unlimited time off

Role Description The Lease Data Quality Specialist ensures the accuracy, compliance, and completeness of resident lease files within the Entrata property management system. This role is responsible for reviewing audit findings, correcting discrepancies, and maintaining clean, compliant data that supports smooth operations, accurate reporting, and a positive resident experience. Main Responsibilities - Review lease file audit reports to identify missing, inaccurate, or non-compliant information. - Make required data corrections directly in Entrata, including lease terms, charges, concessions, resident information, documents, and compliance fields. - Upload, update, and organize lease documents to ensure files meet company and regulatory standards. - Communicate with onsite teams, auditors, and managers to clarify discrepancies or gather missing information if needed. - Verify that all corrections meet internal policies. - Track and document all corrections made to maintain transparency and audit readiness. - Monitor recurring issues and provide feedback to improve leasing processes and reduce future errors. - Assist with quality control checks to confirm that corrected files are complete and accurate. - Support audit cycles by prioritizing time-sensitive corrections. Qualifications - Experience working with property management systems, including leasing, resident management, accounting, or document management modules. - Strong understanding of lease agreements, addenda, and standard property management documentation. - High attention to detail and strong organizational skills. - Ability to interpret audit findings and translate them into actionable corrections. - Strong communication skills for collaborating with onsite teams and auditors. - Ability to work independently, manage deadlines, and handle multiple files simultaneously. - Basic understanding of compliance requirements in residential property management. - Bachelor’s degree in Business, Finance, Accounting, or a related field. Preferred Qualifications - Prior experience in property management, leasing, compliance, or audit support. - Familiarity with other property management systems or document workflows. Ideal Candidate Traits - Meticulous and process-driven. - Comfortable working in a fast-paced, deadline-oriented environment. - Confident navigating software systems and resolving data inconsistencies. - Proactive about identifying patterns and suggesting improvements. Technical Requirements - Internet speed minimum 30mbps: Needs to be Wired (Buy a dongle if no LAN port). - i5 11th Gen or higher. - Windows 11 / MacOS Catalina or higher. - Minimum of 8 GB RAM. - Private and quiet dedicated home office area (no roosters, dogs, children's noises in the background). - Back-ups in case of power or internet provider interruptions. - Good headset and webcam (preferably noise-canceling headset). Benefits - Competitive Salary — We offer a competitive salary that reflects the candidate’s experience, skills, and responsibilities. - Remote Work — This role is 100% remote, allowing flexibility and eliminating daily commute. - Paid Time Off — Standard leave entitlements (vacation, sick leave, vacation leave) for rest and well-being. - HMO Coverage — Company-provided HMO plan, offering access to medical services via accredited hospitals and clinics under a Health Maintenance Organization.

Title: Senior Data Engineer Location: Remote, United States Requisition number: 2352697 Job category: Technology Primary location: Seattle, WA Overtime status: Exempt Travel: No Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Work on architecture, design and engineering in modernization of legacy Data Ingestion, ETL and Database to new technologies in the Public Cloud (Azure), Big Data and API Space under guidance from Sr. Engineers - Solve the hard problems with the team, including setting patterns and practices and building frameworks. Heavy hands-on code and build. Work on the technology transformation from our legacy Data and Analytic platforms to a Big Data Cloud based Modern Software paradigm - Understand security threats and patterns comprehensively and ensure adherence to all regulatory initiatives. HIPPA, PHI, PII, locational data restrictions, contractual etc. - Stay abreast of leading-edge technologies in the industry evaluating emerging software technologies - Work collaboratively with all business areas to assess unmet/new business needs and solutions - Create a startup mentality to accelerate the introduction of new capabilities and transform teams - Avid supporter of the Open-Source software community - Excellent time management, communication, decision making, and presentation skills - Display a strong desire to achieve and attain high levels of both internal and external customer satisfaction - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Computer Science or equivalent - 2+ years of experience working on commercially available software and/or healthcare platforms as a Data Engineer - 1+ years of experience with some of the modern relational databases - 1+ years of experience developing solutions hosted within public cloud providers such as Azure or AWS or private cloud/container-based systems using Kubernetes/OpenShift Preferred Qualifications: - Skilled at optimizing SQL statements - Experience with Data warehousing services preferably Snowflake - Subject matter expert on Cloud technologies preferably Azure and Big Data ecosystem - Experience in using Modern Software Engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc. - Strong experience of operating in a quickly changing environment and driving technological innovation to meet business requirements - Experience building Big Data solutions on public cloud (Azure) - Experience building data pipelines on Azure with skills Azure Data factory, Kafka and Kafka Streams, App services, Az Functions - Experience developing RESTful Services in .NET, Java or any other language - Experience with DevOps in Data Engineering - Ability to establish repeatable processes, best practices and implement version control software in a Cloud team environment - All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. #RPO #GREEN