Role Description Come join our amazing team and work remote from home! Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business applications and business intelligence for the enterprise. Perform all duties in accordance with the company’s policies and procedures, investor guidelines, all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $140,000.00 to $160,000.00. - Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms. - Leads the creation of technical designs and functional specifications to ensure performance, scalability, and reliability while contributing to future cloud migration efforts. - Collaborates with stakeholders and third-party vendors to define, evaluate, and align business requirements for scalable data integration, reporting, and business intelligence solutions. - Leads the design and development of automated solutions to improve business processes, productivity, and operational efficiency. - Maintains ETL jobs and leads troubleshooting efforts for critical production issues, participating in the off-hours support rotation and providing SME assistance as needed. - Leads the design, implementation, and maintenance of data platforms, technical designs, and functional specifications to ensure performance, scalability, and reliability. - Develops and maintains comprehensive documentation of data processes, reports, applications, and procedures to ensure consistency, knowledge sharing, and alignment with organizational standards. - Designs, develops, and deploys scalable reporting and dashboard solutions to support business intelligence, data visualization, and operational efficiency, ensuring appropriate security measures. Qualifications - Advanced knowledge of working in the Microsoft SQL Server environment to design, implement, and optimize enterprise data solutions with a focus on scalability and performance. - Strong understanding of ETL concepts, data integration, and transformation processes, with practical experience implementing ETL solutions using Microsoft SSIS. - Working knowledge of version control concepts, with experience using Microsoft DevOps for managing code repositories and collaborative development. - Must have expert knowledge to lead and oversee SDLC processes. - Advanced expertise in T-SQL programming, scripting, and optimization techniques, with the ability to write, debug, and optimize complex queries and procedures for enterprise-level solutions. - Ability to understand, remember, and apply oral and/or written instructions or other information. - Demonstrates advanced analytical and problem-solving abilities to design and optimize complex data solutions while collaborating effectively across teams. - High school diploma or equivalent work experience, bachelor’s degree in computer sciences preferred. - Four (4) or more years of experience in the information technology field with a strong focus on relational databases, data integration (ETL), data warehousing, business intelligence, reports development, and dashboard design. - Four (4) or more years of experience with ETL tools – SSIS. - Four (4) or more years of experience with database management systems – MS SQL. - Strong working knowledge of integrating applications using APIs is preferred. - Experience with Microsoft BI applications (SSRS, SSAS, Power BI) is preferred. - Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory, Fabric, Snowflake, or Databricks) to lead and optimize data integration and transformation processes is a plus. - Proficiency in programming languages commonly used in data engineering, such as Python or Java. Benefits - Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed. - Access to several fitness, restaurant, retail (and more!) discounts through our employee portal. - Customized training programs to help you advance your career. - Employee referral bonuses so you’ll get paid to help Carrington and Vylla grow. - Educational Reimbursement. - Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. Company Description Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics. Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you’ll consider joining our growing team of uniquely talented professionals as we transform residential real estate.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, Platform you will be a key contributor to a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you'll be leveraging your technical expertise in all aspects of "Infrastructure as Code" (IaC) to enhance and build out our data platform. You will be working across teams, informing business decisions, helping to expand our platform, and define standards and best practices for platform use. What you'll do as a Senior Data Engineer, Platform - Demonstrate leadership and ownership of the platform to deliver services for projects and users. - Provide infrastructure guidance of data platform capabilities to accommodate business/technical use cases. - Leverage your strong communication skills to keep users informed and provide excellent quality of service. - Automate and manage provisioning needs, such as Snowflake storage and compute, Role Based Access Control model, and permissions. - Configure and manage monitoring/alerting around replication latency, performance (cluster & query), and Airflow. - Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. - Provide technical expertise, troubleshooting, and support for change management, governance compliance, internal audits, and remediations. What you'll bring: - A proven track record of administration, engineering, and operationalizing the Snowflake, Databricks or similar Cloud Data Platform. - Experience working in AWS, Terraform, CloudFormation, Python, and database replication tools/services (e.g., AWS DMS). - Experience working with CI/CD pipelines and deployment automation - Experience with a variety of data logging/monitoring tools, such as DataDog, - Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. - Experience writing software (preferably with Python) Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. If this job posting does not include compensation information, this is due to a technical error that our team is working to resolve! We will repost this position with compensation information as soon as it is resolved. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Role Description Become part of the Flexibility (VPP) team, which builds a state-of-the-art virtual power plant solution based on pooling flexible residential DERs (e.g. batteries and EVs). By utilizing accurate forecasts and intelligent control, this solution unlocks the direct market participation of household DERs in a robust way. This service, which employs both deterministic steering and data-driven forecasting algorithms, is continually being enhanced and scaled to keep pace with the ever-increasing number of customers using this service. The Flexibility team is looking forward to growing together with you and bringing this feature to many more customers. Qualifications - Production-Grade Track Record: Hands-on experience working on real-world projects with a proven history of delivering robust data solutions into production. - Focus on Stabilization: Full ownership of system reliability, actively monitoring and stabilizing workflows to ensure continuous, high-quality operations. - Time-Series Expertise: Comfortable working with large-scale time-series data and understanding the unique structural and processing challenges it presents. Requirements - Programming & Data Wrangling: Solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. Proficiency in Python, Polars, and Pandas is preferred, with strong proficiency in equivalent languages or data wrangling frameworks highly welcome. - Database Mastery: Strong SQL skills, with heavy reliance on ClickHouse—experience here is a highly valued asset. - Cloud & Infrastructure: Practical experience provisioning and managing scalable infrastructure using AWS, Kubernetes, and Terraform. - Workflow Management: Experience in building and orchestrating complex data pipelines and ML workflows. Familiarity with Metaflow, Argo, and MLflow, or comparable orchestration and model lifecycle tools is fully transferable. - Rigorous Validation: Thorough testing, validation, and benchmarking of models and data products prior to deploying them into live environments. - Observability: Maintain clear visibility over production systems and possess practical experience setting up metrics and alerting dashboards using Grafana. Benefits - Stimulating and developing work environment. - Opportunity to grow with the team and bring features to more customers. Company Description IT-bemanning är ett Stockholmsbaserat IT-konsultföretag, specialiserat på att leverera kvalitativ kompetens inom området IT-support, IT-drift samt IT-rekrytering. Vi är ett personligt IT-konsultföretag som värdesätter den enskilda konsultens egenskaper. IT-bemanning är ett dotterföretag till IT-konsultföretaget Xperta AB och som är specialiserade inom området IT-infrastruktur.

Role Description You'll set the technical direction for how b.well ingests, transforms, and delivers healthcare data at scale on our FHIR-based platform—owning our hardest problems (large-scale pipeline performance, data quality and de-duplication, terminology normalization, and reliable delivery of standards-conformant FHIR) and turning each solution into reusable frameworks the whole team builds on. This is an AI-native role: you'll pair first-principles engineering rigor with modern agentic tooling—coding agents such as Claude Code and reusable AI skills—to ship faster and turn raw health data into trustworthy, reasoning-ready health data intelligence. What You'll Do: - Work AI-Native & Set the Bar - Make coding agents (e.g., Claude Code) and reusable AI skills a first-class part of how the team engineers—shipping faster by automating the repetitive and amplifying the hard parts. - Bring the rigor to know when to trust an agent, when a deterministic rule-based approach wins, and how to keep AI-generated code correct, tested, and PHI-safe. - Package engineering and data-quality judgment into reusable tooling the whole team applies consistently. - Build & Scale Healthcare Data Solutions - Own the end-to-end architecture of large-scale pipelines that transform raw source data into clean, standards-conformant FHIR. - Diagnose and eliminate performance and scaling bottlenecks in distributed processing so jobs run faster and more cost-efficiently. - Set standards for data quality, de-duplication, patient/record linking, and terminology normalization; drive reliable, idempotent delivery at production volume. - Build automated testing and validation for data quality and FHIR conformance. - Lead, Secure & Mentor - Set technical direction across ingestion, transformation, and delivery, and define the frameworks and standards that accelerate the team. - Champion PHI-safe engineering and uphold HIPAA, 21st Century Cures Act, and ONC/CMS compliance across the platform. - Mentor senior and mid-level engineers, and represent b.well in relevant standards and industry discussions. Qualifications - 8+ years in data engineering, health IT, or healthcare interoperability—with a Staff-level track record of owning systems, not just tasks. - Proven production experience building large-scale health-data pipelines and owning a complex platform end-to-end, including its hardest performance and correctness problems. - Experience defining frameworks and standards that measurably accelerated a team. - AI-native engineer: you already ship with coding agents (e.g., Claude Code) and reusable AI skills, and can raise the whole team's leverage without compromising engineering rigor. Requirements - Distributed data engineering: Apache Spark / PySpark at scale (partitioning, performance and memory tuning); lakehouse tooling such as Databricks and Delta Lake; schema evolution; batch and streaming pipelines. - Pipelines & languages: ETL/ELT, CDC, incremental/delta and idempotent processing; strong Python (required) and SQL; Git, CI/CD, and automated testing. - FHIR & standards: HL7 FHIR R4 (resources, profiles, Bundles), US Core / USCDI, and HL7 v2.x / C-CDA to FHIR conversion. - Terminologies & payer data: SNOMED CT, LOINC, RxNorm, ICD-10, CPT, CVX and crosswalks; claims, coverage, and eligibility data models. - Compliance: HIPAA, 21st Century Cures Act, ONC certification, and CMS Interoperability Rule. Benefits - The target salary range for this position is $180,000 - $220,000 annually. - Part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. - Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. - Annual review of employee pay and compensation programs to ensure competitive and fair pay. Company Description b.well is solving healthcare's fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action—whether it's scheduling care, setting reminders, accessing health data, and more. For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.