Job Title Senior Data Engineer, 1 Job Description About The Position | Major goals and objectives and location requirements About The Positions Contributions: Weight % Accountabilities, Actions and Expected Measurable Results 60% You will enhance our systems by building new data integration pipelines and adding new data to our data lakes and warehouses while continuously optimizing them. You will work with internal team members as well as stakeholders to scope out business requirements and see data deliverables through to the end where they will be used via our Looker platform. You will continuously look for ways to improve our data transformations and data consumption processes so that our systems are running efficiently, and our customers are able to use and analyze our data quickly and effectively. 40% You will champion coding standards and best practices by actively participating in code reviews, and working to improve our internal tools and build process. You will work to ensure the security and stability of our infrastructure in a multi-cloud environment. You will collaborate with our Analytics engineers to ensure data integrity and the quality of our data deliverables. The Role’s Minimum Qualifications and Job Requirements Education: Degree in a quantitative field, such as computer science, statistics, mathematics, engineering, data science, or equivalent experience. Experience: A minimum of 5+ years of experience in building and optimizing data pipelines with Python. You have experience writing complex SQL queries to analyze data. Window functions and nested subqueries are second nature to you. You have commendable experience with at least one cloud service platform (GCP and AWS preferred). You've worked with data at scale using Apache Spark, Beam or a similar framework. You're familiar with data streaming architectures using technologies like Pub/Sub and Apache Kafka. You are eager to learn about new tech stacks, big data technologies, data pipelining architectures, etc. and propose your findings to the team to try and optimize our systems. Specific Knowledge, Skills, Certifications and Abilities: Strong Python and SQL skills. Experience with Google Cloud Platform is a plus. It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing hr@people.inc . The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees Pay Range Salary: $140,000 - $170,000 The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of People Inc's total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, People Inc. provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with People Inc. and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance. #CORP#

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Compliance Engineering & Technology (CET) team at Block supports the detection and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform. You will report to the CET - Screening Engineering Manager, but work predominately alongside the CET - Data Engineering team. As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. As a staff engineer, you will be helping bring the organization into a new level of consistency, helping create and evangelize best practices and standards for the wider organization. You Will Stay up to date on the latest data engineering best practices, decide which are most applicable for our use cases, and guide and teach the data engineering team the relevant tools. Create scalable patterns and solutions that help our team design, develop, and manage scalable ETL pipelines to unblock new product launches. Lead the creation and optimization of existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data. Build monitoring to assess the health of the team's infrastructure as well as data quality and lineage. Participate in the data engineering team's on-call rotation: monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Impact Advisors is seeking a dynamic and motivated Data Migration Director to join our Oracle Health team. In this role, you will be instrumental in leading enterprise data conversion strategy for large-scale EHR transformations. This position offers a unique opportunity to contribute to client success while making a meaningful impact on the healthcare industry. - Define framework for conversion, abstraction, archival, and legacy system retirement. - Oversee mapping, transformation logic, reconciliation standards, and validation protocols. - Partner with clinical and revenue cycle leaders to validate data accuracy and completeness. - Lead mock conversions, final load strategy, and go-live data readiness assessments. - Manage archival strategy and ensure appropriate access and compliance post-transition. Qualifications - Bachelor’s degree required; advanced degree preferred - 10+ years healthcare IT experience - 5+ years leading enterprise data migration initiatives - Oracle Health (Cerner) conversion experience strongly preferred - Data mapping and reconciliation expertise - Knowledge of clinical and revenue cycle data domains - Regulatory and compliance understanding - Executive reporting and stakeholder engagement - Strong program leadership capability Requirements - Client dependent travel required. Benefits - Compensation for this role includes a salary range of $125,000-$250,000. - This role may also be eligible for an annual performance bonus. - Additional benefits and perks may also be available, depending on the position and employment terms.

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements. Key Responsibilities: Data Infrastructure Development (ETL, SQL): Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs. Develop and optimize complex SQL queries for data extraction, transformation, and loading. Diagnose and troubleshoot data-related issues, providing quick and effective resolutions. Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance. Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations. Dimensional Modeling and Data Modeling: Design and implement dimensional models to support data warehousing and business intelligence initiatives. Design and implement different data modeling techniques to meet business’ data demands that align with data architecture design. Develop and maintain data schemas, ensuring data integrity and consistency for clients. Data Visualization: Create and maintain dashboards and reports using data visualization tools to provide actionable insights. Train clients on best practices for using data visualization tools to maximize value. Client Consultation: Engage with clients to understand their data needs and business objectives. Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements. Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support. Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. 3+ years of experience in data engineering, data warehousing, or a similar role. Strong proficiency in SQL Proven experience with data visualization tools and theory. In-depth knowledge of dimensional modeling concepts and techniques. Familiarity with ETL tools and processes. Strong problem-solving skills and attention to detail Experience with cloud-based data platforms Excellent communication and collaboration skills, with the ability to work effectively with clients. The desired salary range for this position is $90,000 - $140,000 per year.  This is a full time role with the practice. About Us At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world. If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we’d like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.