Title: Data Engineer, ERP Location: Plano United States Full time job requisition id R0019276 Why Ryan? - Hybrid Work Options - Award-Winning Culture - Generous Personal Time Off (PTO) Benefits - 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) - Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement - Benefits Eligibility Effective Day One - 401K with Employer Match - Tuition Reimbursement After One Year of Service - Fertility Assistance Program - Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Data Engineer, ERP is responsible for leading the strategy, design, and delivery of data acquisition, extraction, normalization, and analytics solutions that support client engagements and internal business initiatives. This role oversees the end-to-end data lifecycle, ensuring scalable, efficient, and high-quality data processes across multiple systems and formats. The Data Engineer partners cross-functionally with Data Acquisition, Data Delivery, Consulting, and Technology teams to align data solutions with business objectives while driving operational excellence, automation, and continuous improvement. This position combines technical oversight, project leadership, and people management to deliver reliable and innovative data solutions. Duties and responsibilities, as they align to Ryan’s Key Results People: · Creates and fosters a positive team member experience through leadership, mentorship, and professional development. · Provides direct supervision, including goal setting, performance management, coaching, workload allocation, and career development planning. · Builds team capability through technical guidance, training, and knowledge sharing. · Drives collaboration across Data Acquisition, Extraction, Delivery, Consulting, and Technology teams to ensure alignment and efficiency. · Supports recruitment, onboarding, and skill development initiatives to strengthen team performance. Client: · Partners with internal stakeholders and external clients to define data requirements and solution strategies. · Oversees the successful acquisition, extraction, validation, and delivery of data to support client engagements. · Ensures data accuracy, completeness, and normalization across multiple ERP systems, government entities, and other structured and unstructured data sources. · Manages complex data initiatives, timelines, and stakeholder communications to ensure timely and high-quality deliverables. · Addresses escalated data issues and provides strategic guidance on data-related challenges. Value: · Leads the end-to-end data processing lifecycle, including data acquisition, transformation, normalization, validation, and deployment. · Oversees the development, enhancement, and implementation of scalable data extraction and automation tools. · Establishes data quality standards, governance practices, and process efficiencies to improve operational performance. · Provides technical oversight of large-scale data processing using modern database technologies and ETL frameworks. · Drives continuous improvement initiatives that enhance automation, reduce manual effort, and improve delivery timelines. · Leverages agile project management methodologies to monitor progress, mitigate risks, and communicate status to leadership. · Ensures alignment of data solutions with broader business strategy and client service objectives. Education and Experience: · Bachelor’s degree in Information Systems, Computer Science, Engineering, or other STEM-related field required; advanced degree preferred. · Experience in data engineering, data extraction, data management, or related technical roles. · Demonstrated experience leading complex data projects and cross-functional initiatives. · Prior client-facing or consulting experience strongly preferred. · Experience working with enterprise databases, ERP systems, or large-scale structured data environments required. · Previous people management or team leadership experience preferred. Computer Skills: · Advanced knowledge of SQL and relational database systems. · Working knowledge of Python and/or other scripting languages. · Experience with ETL tools and modern data processing platforms. · Proficiency in Microsoft Office Suite. Required Skills: · Strong leadership and team development capabilities. · Project and stakeholder management expertise. · Deep understanding of data lifecycle management and data quality principles. · Ability to manage large, complex datasets across multiple formats and systems. · Strong analytical, problem-solving, and decision-making skills. · Excellent written and verbal communication skills. · Ability to manage multiple priorities in a fast-paced environment. Preferred Skills: · Experience with automation strategy and process optimization. · Implementation experience with major ERP systems. · Knowledge of agile project management methodologies. · Experience working with government data sources or regulated data environments. · Property tax or related domain experience. Certificates and Licenses: · Valid driver’s license required. Supervisory Responsibilities: May provide supervision to data professionals, including assigning work, managing performance, conducting evaluations, and ensuring quality and timeliness of deliverables. Work Environment: · Standard indoor working environment. · Occasional long periods of sitting while working at computer. · Position requires regular interaction with employees via e-mail, video call, and telephone. · Independent travel requirement: Up to 10%. Compensation Pay Transparency: - For certain California based roles, the base salary hiring range for this position is $100,000.00 - $132,000.00 - For other California based roles, the base salary hiring range for this position is $92,000.00 - $121,000.00 - For Colorado based roles, the base salary hiring range for this position is $88,000.00 - $115,500.00 - For Illinois based roles, the base salary hiring range for this position is $92,000.00 - $121,000.00 - For other Illinois based roles, the base salary hiring range for this position is $88,000.00 - $115,500.00 - For Maryland based roles, the base salary hiring range for this position is $88,000.00 - $115,500.00 - For Massachusetts based roles, the base salary hiring range for this position is $92,000.00 - $121,000.00 - For other Massachusetts based roles, the base salary hiring range for this position is $88,000.00 - $115,500.00 - For New Jersey based roles, the base salary hiring range for this position is $100,000.00 - $132,000.00 - For New York based roles, the base salary hiring range for this position is $100,000.00 - $132,000.00 - For other New York based roles, the base salary hiring range for this position is $84,000.00 - $110,000.00 - For Washington based roles, the base salary hiring range for this position is $92,000.00 - $121,000.00 - The Firm makes offers based on many factors, including qualifications and experience. Roles may be eligible for incentive compensation. Equal Opportunity Employer: disability/veteran #DICE

Role Description We are seeking a highly skilled Senior Analyst, BI & Data Insights to join our growing team. In this critical role, you will play a key role in building and maintaining a best-in-class data platform that drives innovation and growth for our transportation and logistics business. You will leverage your expertise in end-to-end Azure data engineering, Snowflake, and a variety of data engineering tools to design, develop, and implement scalable data pipelines for ingesting, transforming, and loading (ETL/ELT) large datasets. You will partner closely with stakeholders across the organization to understand their needs and translate them into clear and concise data visualizations through Data engineering solutions. The ideal candidate will have 6 to 8 years of hands-on experience designing, building, and maintaining scalable data pipelines and cloud-based data platforms, with a solid understanding of Medallion Architecture (Bronze, Silver, Gold) for organizing and delivering reliable, governed data across the organization. You will collaborate closely with business stakeholders to ensure the reliable delivery of high-quality data across the organization. Beyond individual contribution, this role carries meaningful technical leadership responsibilities like mentoring junior and mid-level data engineers, establishing platform standards, driving architectural decisions, and delivering high-quality, business-critical data assets. It also offers an exciting opportunity to work with modern data technologies including Snowflake, Databricks, and real-time streaming architecture. Qualifications - 6 to 8 years of professional experience in data engineering or a related field - Proven track record working with cloud-native data platforms (Snowflake, Databricks, or equivalent) - Deep, production-proven expertise in designing and operating Medallion Architecture (Bronze/Silver/Gold) at scale using Databricks Delta Lake and/or Snowflake multi-layer schemas - Extensive experience with Snowflake — advanced data modelling, performance optimisation, dynamic data masking, and row-level security - Strong expertise in Databricks — cluster management, Delta Live Tables, and Unity Catalog - Experience with real-time and streaming data architectures in production environments - Knowledge of data orchestration tools such as Azure Data Factory - Hands-on experience designing and building ETL/ELT pipelines for large-scale data environments - Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture - Experience working in Agile/Scrum development environments - Exposure to CI/CD pipelines and DevOps practices for data workflows - Proficiency in PySpark and/or Python for data transformation and pipeline development - Strong SQL skills including query optimization, window functions, and complex joins - Experience with cloud platforms such as Azure, AWS, or GCP Requirements - Own the end-to-end design and evolution of the Medallion Architecture - Design, develop, and maintain scalable, high-performance data pipelines - Develop and optimize Snowflake schemas, views, and data models aligned with the Medallion pattern - Build and optimize data models, tables, and views within Snowflake - Lead the design and implementation of real-time streaming data solutions - Develop and manage Databricks workflows, notebooks, and Delta Lake pipelines - Establish and maintain data governance practices across all Medallion tiers - Mentor and technically guide junior and mid-level data engineers - Collaborate with business stakeholders to understand requirements - Apply CI/CD best practices and manage code through Git version control - Monitor, troubleshoot, and optimize data pipeline performance - Willingness to participate in developing the AI agents Benefits - Work hard, play hard motto - Support for both professional and personal goals - Opportunity for process improvement and leveraging technology - Flexible working environment (office or remote) - Potential for occasional travel Company Description We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, veteran status, sexual orientation, gender identity, marital status, pregnancy, genetic information, or any other characteristic protected by law and will not be discriminated against on the basis of disability.

Role Description As a Freelance Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Portuguese to power our machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with our NLP experts, ensuring the accuracy and relevance of our data for the market, and contributing directly to the quality and reliability of our AI-driven products in the medical domain. This role is ideal for candidates with a strong linguistic background in Italian who are passionate about working in the healthcare and technology space. The ideal freelancer has experience in data annotation, transcription, and text analysis, combined with a basic understanding of medical terminology and concepts. This is not a full-time job; it's for FREELANCERS ONLY. You must be able to invoice in EUR. Key Responsibilities: - Prepare and maintain medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency. - Follow and provide feedback on annotation and labeling conventions, as well as perform audio transcriptions in Italian (aligning audio with text and correcting text based on audio). - Implement text patterns to detect and extract named entities in Italian, such as names, addresses, organization names, ID numbers, and medical terms. - Contribute to dictionaries and taxonomies in Italian for use in NLP systems. - Evaluate the correctness and accuracy of words, sentences, and text structures, ensuring linguistic quality and consistency. - Deliver high-quality work within established deadlines and communicate proactively about project progress and challenges. Qualifications - Languages: Native Italian speaker and Full Professional Level of English - Linguistic Expertise: A degree or strong background in linguistics, computational linguistics, or a related field. - Medical Knowledge: Familiarity with medical terminology or prior experience in the healthcare domain. - Data Annotation: Hands-on experience with data annotation, transcription, and labeling tools. - Text Analysis: Proficiency in working with text patterns and dictionaries for NLP purposes. - Attention to Detail: Exceptional ability to assess and improve data quality. - Self-Management: Strong ability to work independently, manage time effectively, and consistently meet deadlines. Requirements - Previous experience in AI, machine learning, or data preparation projects. - Knowledge of multiple languages or dialects. - Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR). - Experience working as a freelancer on similar annotation or linguistic projects. Benefits - Remuneration: 15 euros / h

Role Description As our new Data Engineer, you will join a collaborative and skilled organization working with data at scale to enable automation of real business cases through data-driven and Machine Learning-based intelligence. We are hiring two Data Engineers for two closely collaborating teams with different focus areas: - The Data Science team, working directly with forecasting, analytics, and ML-based decision support. - The Data Streaming Platform (DSP) team, a newly formed team building and operating a central platform for real-time and event-driven data across the organization. We work in a Scrum setup and have in recent years been very successful in forecasting both electricity prices and electricity consumption, while at the same time scaling our real-time data capabilities. Your work will have direct and measurable impact. What will you do? - Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python. - Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams. - Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink. - Ensure high data quality through validation, monitoring, and lineage. - Develop and improve data workflows, standards, and reliability in production systems. - Dependent on your area of expertise and interest, you will work in either the Data Science- or Data Streaming Platform team. Data Science team focus: - Enable forecasting, analytics, and ML use cases with high-quality, well-modelled data. - Collaborate closely with Data Scientists, ML Engineers, and other engineering teams. DSP team focus: - Build Kafka based central streaming data platform from scratch to enable traders, analysts and asset managers to publish and consume live and historical data at scale. - Operate and continuously enhance the components once the platform is in production. Location: Katowice or remotely in Poland Qualifications - Strong Python and SQL skills. - Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases. - Hands-on experience with streaming systems (Kafka, Spark or Flink). - Familiarity with Airflow, CI/CD, DevOps practices. - Experience with Docker, Kubernetes, and Infrastructure-as-Code. - Understanding of data contracts, time-series data, and event-driven systems. - Fluency in English and interest in the energy domain. Benefits - Good remuneration. - A challenging and international work environment. - The possibility to work with some of the best in the field. - Working in interdisciplinary teams with support from committed colleagues. - Attractive employment conditions and opportunities for personal and professional development.